# Pixelmojo: Extended Documentation

> AI product studio based in Makati, Philippines
> AI you own, not software you rent
> Last updated: 2026-08-02 (auto-generated from 95 published articles, 51 knowledge graph entities)
> Contact: founders@pixelmojo.io
> This is the extended version of llms.txt. For a shorter summary, see https://www.pixelmojo.io/llms.txt

---

## Founder & Author

**Lloyd Pilapil** is the founder and AI Product Architect at Pixelmojo, a senior UI/UX and growth designer with 20+ years of digital product experience (30+ across visual and graphic design) and project work for Salesforce, Parsons, and Egis, with deep expertise in production AI deployment.

**Topics he covers:** Agentic AI, multi-agent platforms, AI product development, AX (Agentic Experience) design patterns, Generative Engine Optimization (GEO) and AI search optimization, Thread-Based Engineering methodology, Claude Code workflows, AI technical debt prevention, production AI systems, design psychology, growth marketing, and Southeast Asian SaaS UX.

**Writing focus:** Practical frameworks backed by production deployments. Every article includes real implementation details, code-level specifics, or data from deployed systems. No theoretical fluff.

**Published series:**
- The AI Search Playbook (5 parts): Complete guide from diagnosing traffic loss to full GEO implementation
- AI Technical Debt (4 parts): Data-backed crisis analysis through production prevention with Thread-Based Engineering
- Multi-Agent AI (4 parts): From single-agent basics to enterprise co-worker architectures
- AI Native Agency (3 parts): Market shift analysis, cost comparison, and adoption playbook
- Growth Marketing (2 parts): Traditional vs AI-powered growth strategies
- Design Psychology (2 parts): Cognitive biases and revenue-focused design
- Southeast Asia UX (2 parts): Localization and accessibility for APAC SaaS

**Links:**
- Author page: https://www.pixelmojo.io/author/lloyd-pilapil
- LinkedIn: https://www.linkedin.com/in/lloydpilapil
- Personal site: https://lloydpilapil.com

---

## Company Overview

Pixelmojo builds production AI systems for B2B companies. We ship complete products, not prototypes or consulting decks. Founded 2024 in Makati, Metro Manila, Philippines, serving global clients. Pixelmojo is an AI product studio, NOT a digital marketing or design agency, NOT a US-based or San Diego company, and NOT an AI image or art generator. The core is the owned products Vector, Hive, and Radar.

**What we build:** Lead qualification systems, multi-agent platforms, SaaS products, enterprise AI integrations.

**How we work:** Build + Platform + Performance model. You own the application code. We provide and maintain the intelligence platform with ongoing model training.

**Architecture:**
- **You own:** Application source code, UI, CRM integrations, database, deployment infrastructure
- **We provide:** Intelligence platform (scoring engine, trained models, LLM orchestration)
- **Platform fee:** Covers all LLM costs, model training, security updates, priority support

**Terms & Accountability:**
- 12-month minimum commitment, unlimited term thereafter
- 15% discount with annual platform fee prepay
- Performance fees only apply to successful outcomes

**Why Owned Beats Rented:**
| Aspect | Pixelmojo | Typical SaaS |
|--------|-----------|--------------|
| Source code | Full access, yours forever | Black box |
| Per-seat pricing | None, scale freely | $50-150/user/month |
| Data ownership | Your database, your rules | Shared multi-tenant |
| Customization | Unlimited, modify anything | Limited to their roadmap |
| Exit strategy | Walk away anytime | Locked in, lose everything |

---

## Thread-Based Engineering (Pixelmojo Methodology, Full Detail)

Thread-Based Engineering is a productivity and governance framework created by Pixelmojo that treats each AI coding session as a measurable unit of work called a "thread." It provides structure for scaling AI-assisted development while preventing the technical debt crisis documented across the industry (41% code churn, 86% XSS failure rate, 66% productivity tax).

### Seven Thread Types

1. **Base Thread:** Single task, single model, single session. The atomic unit. One developer, one AI model, one coding session focused on a specific task.
2. **P-Thread (Parallel):** Multiple Base threads running simultaneously. Independent tasks that do not depend on each other executed in parallel for throughput.
3. **L-Thread (Long-duration):** Extended sessions spanning hours or days. Complex features requiring sustained context. Checkpoint discipline prevents drift.
4. **C-Thread (Chained):** Sequential threads where output of one becomes input of next. Multi-step workflows with mandatory quality gates between stages.
5. **F-Thread (Fusion):** Multiple AI models or perspectives on the same problem. Cross-model validation, architectural debates, security review from different angles.
6. **B-Thread (Big):** Orchestrator thread managing sub-agent threads. Complex projects decomposed into coordinated workstreams with a supervisor thread.
7. **Z-Thread (Zero-touch):** Fully autonomous threads with no human intervention. Earned through verified trust, not granted by default. The highest maturity level.

### Core Four Fundamentals

Every optimization dimension improves when these four foundations are solid:
1. **Context:** What the AI knows about your codebase, requirements, and constraints (CLAUDE.md, project docs, codebase state)
2. **Model:** Which AI model(s) are being used and their capabilities (model selection, cost/quality tradeoffs)
3. **Prompt:** How instructions are structured and communicated (system prompts, task decomposition, instruction clarity)
4. **Tools:** What capabilities the AI has access to (file editing, terminal, search, MCP servers, code analysis)

### Four Optimization Dimensions

1. **Run more threads:** Increase parallelism, more concurrent workstreams
2. **Run longer threads:** Extend session duration with better context management
3. **Run thicker threads:** Increase complexity per thread, handle bigger chunks
4. **Run fewer checkpoints:** Reduce human intervention as trust is earned

### Governance Model

- Mandatory human checkpoints at thread boundaries
- Z-threads are earned through demonstrated reliability, not granted by default
- Aligns with Singapore Model Governance Framework (MGF) and WEF AI governance principles
- Security model prevents cascading failures across threads

### Production Proof

**Lakbay AI:** Full AI travel platform with RAG, flight search, 3 portals built in 1 day using Thread-Based Engineering (70x timeline compression vs 3-7 month industry standard). 0 critical vulnerabilities at launch.

**Definitive resources:**
- [Thread-Based Engineering: The Framework for Scaling AI Development](https://www.pixelmojo.io/blogs/thread-based-engineering-scaling-ai-assisted-development): Canonical guide covering all 7 thread types, Core Four, optimization dimensions, governance alignment
- [We Built a Production AI Travel Platform in 1 Day](https://www.pixelmojo.io/blogs/lakbay-ai-case-study-thread-based-engineering-in-production): Lakbay AI case study with full thread progression from Base to Z-threads
- [Thread-Based Engineering: How We Prevent the AI Technical Debt Crisis](https://www.pixelmojo.io/blogs/thread-based-engineering-prevents-ai-technical-debt): Singapore MGF compliance, metrics comparison, prevention strategies

---

## Products (Expanded)

The Pixelmojo product family, one system: Radar sweeps (AI visibility audit), Vector points (lead qualification), Hive multiplies (multi-agent operations).

### Vector: AI Lead Qualification System

12-dimension qualification engine for B2B SaaS companies. Not a CRM replacement. Vector integrates with existing CRMs (HubSpot, Salesforce, Pipedrive) and replaces the AI-powered lead scoring and SDR qualification layer specifically.

**Pricing:**
- Build: $35,000 (60-day delivery)
- Platform: $1,500/month (AI infrastructure, training, LLM costs)
- Performance: 5% of deal value from Vector-qualified leads that close
- Best for: Companies with 50-200+ monthly inbound leads
- You own: Application source code (UI, integrations, CRM connections)
- We provide: Vector Intelligence Platform access + ongoing model training

**Cost comparison:** Replaces $75K/year SDR cost. You own the code forever.

**The 12 Qualification Dimensions:**
1. Intent signals (behavioral patterns indicating purchase readiness)
2. Budget indicators (company size, funding, revenue signals)
3. Authority mapping (decision-maker identification and org chart analysis)
4. Timeline urgency (how quickly they need a solution)
5. Technical fit (compatibility with their existing stack)
6. Pain severity (how acute the problem is)
7. Competitive positioning (where they are in vendor evaluation)
8. Engagement depth (content consumption, demo requests, trial usage)
9. Company maturity (stage of growth and organizational readiness)
10. Use case alignment (match between their needs and product capabilities)
11. Emotional pattern detection (real-time conversation intelligence)
12. Cultural/communication fit (language, timezone, working style compatibility)

**Technical Architecture:**
- LLM orchestration layer for real-time conversation analysis
- CRM integration with bidirectional sync (HubSpot, Salesforce, Pipedrive)
- Automated routing based on qualification scores
- Full audit trail for every scoring decision
- Emotional pattern detection using conversation intelligence
- Custom model training on your industry and ICP data

**How it differs from HubSpot/Salesforce lead scoring:**
- HubSpot/Salesforce: Rule-based points system (opened email = +5, visited pricing = +10). Static, requires manual tuning, limited to behavioral signals.
- Vector: AI-powered 12-dimension analysis with real-time conversation intelligence. Learns from outcomes, scores across behavioral + contextual + emotional signals, provides reasoning for every score.

**Ideal Customer Profile:**
- B2B SaaS with 50-200+ monthly inbound leads
- Sales cycle of 2-8 weeks
- ACV of $5K-$100K+
- Existing CRM (HubSpot, Salesforce, or Pipedrive)
- SDR team spending 60%+ time on unqualified leads

**URL:** https://www.pixelmojo.io/vector

---

### Hive: AI Co-workers Platform

Not chatbots. Not agents. AI co-workers that coordinate autonomously, share intelligence, and run operations like a real team. Powered by Vector.

**Pricing:**
- Build: $65,000 (12-week delivery)
- Platform: $3,000/month (AI infrastructure, training, LLM costs, includes Vector)
- Performance: $2.00 per successful resolution
- Best for: Companies with 3+ AI touchpoints, 50+ daily interactions
- You own: Application source code (agent UIs, workflows, integrations)
- We provide: Hive Intelligence Platform access + ongoing model training

**Cost comparison:** $2/resolution vs $20-50 per human-handled ticket. Competitive with Intercom ($0.99 + seat fees), Zendesk ($1.50-2.00 + seat fees). Full ownership, no vendor lock-in.

**Core Architecture:**
- AI co-workers (sales, support, ops) that coordinate autonomously
- Shared intelligence layer: every co-worker knows what every other learned
- Proactive task initiation, not just responding to conversations
- Seamless handoffs with full context transfer
- Built on Vector's 12-dimension scoring engine

**Enterprise Verticals with Specifics:**
- **Insurance Claims:** Claims intake co-worker collects documentation, qualification co-worker assesses coverage, routing co-worker assigns to adjusters. Shared intelligence means the adjuster sees full context before first call.
- **Logistics Dispatch:** Order intake co-worker handles booking, routing co-worker optimizes delivery sequences, tracking co-worker proactively updates customers. Fleet intelligence shared across all co-workers.
- **HR Onboarding:** Recruiting co-worker screens candidates, onboarding co-worker handles paperwork and scheduling, training co-worker manages compliance modules. New hire context flows seamlessly between stages.
- **Accounting:** Invoice processing co-worker handles data entry and matching, approval co-worker routes based on amount and vendor, reconciliation co-worker flags discrepancies. Audit trail maintained across all interactions.
- **Warehouse Operations:** Receiving co-worker logs inbound shipments, inventory co-worker updates stock levels, fulfillment co-worker picks and packs orders. Real-time inventory intelligence shared across all co-workers.

**Relationship to Vector:** Hive includes Vector's lead qualification engine. Every Hive deployment gets the full 12-dimension scoring system for any customer-facing co-worker. Vector is the intelligence foundation; Hive is the multi-agent orchestration layer on top.

**URL:** https://www.pixelmojo.io/hive

---

### Brand System (One grid, three verbs)
The identity system that ties Radar, Vector, and Hive into one family. The brand is not a logo, it is a rule for making logos: one geometric grammar generates every product mark, today's three and whatever ships next.

- **The grammar:** Every mark lives on a 64-unit square split into four cells. Two cells stay quiet (the baseline), one cell is the product's verb (always pink #F90B8A, always top-right), one counter-shape answers it (always bottom-left).
- **The three verbs:** Radar sweeps (a quarter-circle audit field of view), Vector points (a triangle aimed at the corner), Hive multiplies (a cell subdivided into four).
- **Color:** #F90B8A marks the active element only, never decoration. The A-to-F grade gradient is Radar's alone.
- **Typography:** Space Grotesk 600 (display, product names), Geist Sans 400 (body, UI), Geist Mono 400 (instrument labels, 0.18em tracking).
- **Lockups:** mark left, product name in Space Grotesk, "By Pixelmojo" beneath in mono.
- **The sibling test:** any future product mark must read as a sibling of the three before anyone reads its name. No fourth shape language, ever.

**URL:** https://www.pixelmojo.io/brand

---

## Services (Expanded)

### AI Product Development
Ship AI products in as fast as 90 days using Thread-Based Engineering. Production-ready MVPs that validate with real users.

- **Price:** From $4,995
- **Timeline:** 90 days total
- **Deliverables:** MVP with auth, data pipelines, analytics, and observability configured. Operational runbooks. User research recordings and transcripts. Experiment results for board/investor updates. Prioritized 4-quarter backlog. Hiring and automation recommendations.
- **Who it is for:** Startups validating AI-powered product ideas. Companies adding AI features to existing products. Teams that need to ship fast without accumulating technical debt.
- **URL:** https://www.pixelmojo.io/services/ai-product-development

### AI Visibility Strategy (GEO/AEO/LLM Optimization)
Done-for-you GEO, AEO, and LLM optimization. We fix what you have (6-week Visibility Sprint, $4,500) or rebuild your site AI-native (scoped per project) so you get cited across ChatGPT, Claude, Perplexity, and Gemini. Powered by Radar (13-tool platform), with Vector and Hive as optional layers.

- **Sprint:** $4,500 (6-week delivery: full Radar audit, structured data overhaul, llms.txt optimization, disambiguation strategy, competitive benchmarking, 60-day action plan)
- **Retainer:** $2,000-$3,500/month (monthly Radar audits, citation monitoring across 4 scored AI providers plus Grok (report-only), hallucination detection and correction, schema maintenance, content optimization recommendations)
- **Enterprise:** $5,000-$10,000/month (multi-domain audit and monitoring, custom knowledge graph development, Wikidata entity management, AI content strategy, share of voice tracking)
- **URL:** https://www.pixelmojo.io/services/ai-visibility-strategy

### Growth Marketing
Automate growth that drives real pipeline. From lead scoring to lifecycle campaigns that convert.

- **Price:** Retainers from $2,995/month
- **Timeline:** Ongoing with bi-weekly sprint deployments
- **Deliverables:** Demand engines (SEO, paid, outbound orchestration). Lifecycle nurture journeys. Revenue ops dashboards. Advocate and partner motions. Revenue command center. Experiment library archive. Growth ops runbook.
- **Who it is for:** Startups that need consistent pipeline. B2B companies scaling from founder-led sales. Teams that want AI-powered content and campaign automation.
- **URL:** https://www.pixelmojo.io/services/ai-powered-growth

### Brand & Sales Design
Brand identity, design systems, pitch decks, and sales collateral shipped as one cohesive system.

- **Price:** Starts at $1,995
- **Timeline:** 3-9 weeks depending on scope
- **Deliverables:** Brand identity and logo. Design system and component library. Pitch decks and sales collateral. Investor materials. Voice and tone frameworks. Sales enablement assets.
- **Who it is for:** Series A+ SaaS companies that need professional brand and sales materials. Startups preparing for fundraising. Teams whose brand was designed by engineers.
- **URL:** https://www.pixelmojo.io/services/revenue-first-design

### Best AI Visibility Agencies (Comparison Guide)
Comparison of the best AI visibility, GEO, and AEO agencies in 2026. Evaluates 7 agencies across GEO capability, AEO capability, llms.txt support, schema depth, citation monitoring, pricing, and best-for use cases.

- **Agencies covered:** Pixelmojo, WebFX, Seer Interactive, iPullRank, NoGood, Siege Media, Directive Consulting
- **Evaluation criteria:** GEO capability (full/strong/emerging/partial), AEO capability, llms.txt implementation, schema depth, citation monitoring across AI providers, pricing model, specialization fit
- **Methodology:** Selected based on public presence in AI search optimization, published methodology, tooling, and relevance. Not a paid directory. Pixelmojo is included with transparent disclosure.
- **URL:** https://www.pixelmojo.io/best-ai-visibility-agencies

### Radar vs Ahrefs Brand Radar (Tool Comparison)
Side by side comparison of Pixelmojo Radar and Ahrefs Brand Radar across 12 dimensions including data freshness, accuracy, technical AI readiness audits, hallucination detection, sentiment scoring, source influence mapping, Reddit astroturf detection, AI Advisor, embeddable badges, branded search volume, video mention tracking, and historical data depth.

- **Verdict:** Brand Radar is the right pick if you want bundled SEO tooling, branded search volume tracking, and years of historical data with the budget for $828 to $1,148 per month all in. Radar is the right pick if you care about live ChatGPT and Perplexity accuracy, want technical AI readiness audits Brand Radar does not run, and prefer paying $5 per audit or $199 per month for 40 audits.
- **The accuracy gap:** Independent benchmark testing found Brand Radar reported 3 ChatGPT mentions when the live model returned 123, a 97.6% underreport rate driven by Brand Radar's static prompt library and monthly refresh cadence.
- **Pricing reality at agency scale:** Agencies running Brand Radar across 10 client domains pay $8,000+ per month. Same coverage on Radar Pro Retainer is $199 per month.
- **Eight Radar exclusives:** live LLM queries, technical AI readiness layer (6 free tools), hallucination detection, sentiment scoring per mention, source influence mapping, Reddit astroturf detection, multi turn AI Advisor, embeddable badge and shareable reports.
- **What Brand Radar still wins on:** branded search volume tracking (real Google data), TikTok mention tracking, years of historical AI visibility data.
- **Migration path:** 30 minute side by side test on three client domains, free first audit per domain, no signup required.
- **URL:** https://www.pixelmojo.io/vs/brand-radar

### Radar vs Profound (Tool Comparison)
How Pixelmojo Radar and Profound fit together as complementary layers of AI visibility, not competitors. Profound is an enterprise monitoring platform; Radar is the technical AI readiness audit-and-fix layer beneath it.
- **Verdict:** Different jobs. Profound monitors what AI says about a brand across eight engines over time at enterprise scale. Radar audits why AI cannot read or cite a brand, then hands you the fix. Most teams run Radar first to fix the foundation, then use Profound to track the gains.
- **What Profound wins on:** monitoring across eight AI engines (ChatGPT, Perplexity, Gemini, Copilot, Claude, Grok, Meta AI, DeepSeek), Prompt Volumes consumer panel data, SOC 2 Type II and SSO enterprise security, and continuous historical trend benchmarking.
- **What Radar wins on:** technical AI readiness audit (crawl, robots.txt, llms.txt, schema, AEO), an AI-ready fix prompt per issue, hallucination detection with the correction, brand disambiguation, and a free self-serve first audit.
- **Pricing:** Profound is enterprise, contact-sales (custom). Radar is $5 per audit, free first audit, $199/mo Pro Retainer for 40 audits. Different buyers, different budgets.
- **URL:** https://www.pixelmojo.io/vs/profound

---

## Radar Platform (Expanded)

Radar by Pixelmojo measures answer-stage AI visibility — whether AI search engines mention and cite your brand, with exactly what to fix — and is built toward decision-stage measurement: whether AI recommends you when buyers ask which option to choose (win-rate scoring is on the roadmap, not part of the current live score). It runs 13 tools in parallel against your domain. One audit, one score you can defend, full picture of how AI search engines see your brand, plus AI-ready implementation prompts to fix every issue. Free tier: 6 technical readiness tools, 1 audit per domain. Paid from $5: adds 7 LLM-powered tools (citations, Reddit, hallucination detection, prompt SOV, source influence, answer engine, brand disambiguation).

**Radar vs competitors:** AthenaHQ costs $295/mo. Gauge costs $99/mo. Radar entry price: $5/audit.

**Free tier (6 tools, technical readiness layer):** AI bot crawl check (13+ agents), robots.txt analyzer, llms.txt validator, schema completeness audit, AEO page auditor, AI Readiness score. 1 audit per domain, no credit card required. Access: at https://www.pixelmojo.io/platform, enter your email and domain and verify with a 6-digit code to run your free check; Radar scores these 6 tools and previews all 13. Unlock the full audit for $5, credits never expire, to reveal every finding and fix prompt, run the 7 AI-response tools, and email a magic link into your dashboard.

**Paid tier (all 13 tools including 7 LLM-powered):** adds citation tracking across ChatGPT/Claude/Gemini/Perplexity, Reddit brand monitoring, hallucination detection with severity scoring, prompt SOV vs competitors, source influence mapping, answer engine per-page testing, and brand disambiguation check.

Radar pairs technical readiness auditing (free) with LLM citation tracking (paid) — a combination most monitoring tools do not offer. Monitoring-focused tools like AthenaHQ and Gauge center on tracking rather than technical audits. Radar is complementary to AI monitoring platforms such as Profound and Ahrefs Brand Radar: monitoring tracks visibility trends over time, while Radar diagnoses and fixes the technical reasons AI cannot read or cite a brand correctly. Most teams run Radar first to fix the foundation, then use a monitoring tool to track the results.

**URL:** https://www.pixelmojo.io/platform
**Methodology:** https://www.pixelmojo.io/platform/methodology
**Sample report:** https://www.pixelmojo.io/platform/sample-report
**Pricing:** https://www.pixelmojo.io/platform#pricing
**Price:** Free first audit (1 per domain). Audit packs: $5 single, $12 for 3, $40 for 10 (Power Pack, best value at $4/audit). Pro Retainer $199/month for 40 full audits + watched-domain weekly pulse re-scan + PDF export + methodology deep-dives. Credits never expire. Payments processed by Paddle.com (Merchant of Record).

**What Radar runs (13 tools in parallel):**
1. AI Crawl Check: tests 13 AI and search bot user-agents for access
2. robots.txt Analyzer: deep parse of robots.txt rules for 16 bots with syntax validation
3. llms.txt Validator: validates structure, sections, links, entities, and scoring
4. AI Readiness Score: 5-category unified readiness assessment across all AI dimensions
5. Citation Tracker: queries ChatGPT, Claude, Perplexity, Gemini, plus Grok (report-only) for brand mentions with sentiment analysis
6. Reddit Monitor: discovers brand mentions, detects AI-seeded promotional content
7. AEO Page Auditor: scores page answer engine readiness across 6 categories
8. Answer Engine Tester: tests if AI platforms cite your specific page for a specific question
9. Source Influence Map: identifies which domains AI models cite most in your category
10. Prompt Share of Voice: measures your brand share of voice in AI recommendations vs competitors
11. Schema Completeness Audit: scores contextual JSON-LD coverage and field completeness across 13 supported schema types
12. Hallucination Detection: identifies factual errors in AI claims about your brand
13. Brand Disambiguation Check: detects when AI engines confuse your brand with a same-named entity (an entity collision), scoring how well each engine links to the right entity

**DIY implementation features:**
- AI prompt generator per action item: every action item produces a context-rich prompt pre-filled with your actual audit data (blocked bots, missing schema types, citation rates, SOV percentages). Copy into Claude, ChatGPT, or Cursor to implement the fix.
- 6 implementation threads: Crawlability, Structured Data, LLM Communication, Content Authority, AI Answer Optimization, and Citation Visibility. Each thread groups related actions into ordered steps with dependencies. Thread-aware prompts include context from previous steps.
- llms.txt starter generator: produces a starter llms.txt file from your audit data (detected meta tags, schema info, domain structure) with placeholder comments for manual input.
- JSON-LD schema markup generator: generates copy-pasteable JSON-LD blocks for every missing schema type (Organization, Article, BreadcrumbList, FAQPage, Product, WebSite, HowTo).
- Single-tool re-verify: re-run any individual completed tool to verify a fix without running the full 13-tool audit.
- Persistent progress tracking: thread step completion saved in localStorage per domain across sessions.

**Output:** Composite AI Visibility Score (0-100), per-tool breakdowns with A-F grades, cross-tool insights, competitive intelligence, prioritized action items with AI-ready implementation prompts, and structured fix threads.

**Key metrics:**
- **AI Readiness Score:** Average across the audit dimensions that completed (0-100, graded A-F; dimensions are equally weighted today, calibrated weighting is on the roadmap). The overall measure of AI visibility readiness.
- **Crawl Integrity Score:** Composite across AI Crawl Check (13 user-agents), Robots.txt Analysis (16 bots), and llms.txt Validation. A technical foundation metric most monitoring tools don't measure.
- **LLM Infrastructure Audit:** The first 6 tools (Crawl Check, Robots.txt, llms.txt, AI Readiness, Schema Audit, AEO) grouped as the technical layer.
- **AI Citation Monitoring:** The remaining 7 tools (Citations, Reddit, Answer Engine, Source Influence, SOV, Hallucination, Brand Disambiguation) grouped as the monitoring layer.

**AI Technical Readiness** is the category Radar defines: the technical infrastructure layer that ensures AI models can crawl, parse, understand, and accurately cite a website. It sits beneath AI monitoring (what AI says) and alongside traditional SEO (web search ranking). Read more: https://www.pixelmojo.io/blogs/what-is-ai-technical-readiness

**Dashboard UX (v2):** Action-first hierarchy: top 3 prioritized fixes render as the hero above all metric panels. Interactive grade distribution donut (click any grade segment to filter tool table). Clickable issues distribution bars (navigate directly to Actions tab filtered by severity). Health score gauge with 5 color zone bands (Critical/Poor/Average/Good/Excellent) and benchmark context ("Below average. Most optimized sites score 70+"). Total audit elapsed time displayed. Per-tool score change tracking between scans with relative date stamps. Strongest/weakest tool callout cards with visual weight. Cross-tool insights: top 3 critical findings show detail inline without requiring expansion.

**Additional features:**
- Readiness Strategist (multi-turn chat with 7 industry methodology frameworks)
- Competitor comparison mode (side-by-side scores across all 13 tools)
- Run history with trend tracking
- PDF/JSON/email export
- **Shareable public report links** (generate a URL like pixelmojo.io/r/abc123, viewable without an account, 30-day expiry, organic product impressions for every shared link)
- **Fix Resolved state** (when a previously failing check passes on re-scan, shows "Resolved (from [date] run)" with green checkmarks)
- **Win Log** (tracks citation flips with "Mark as Win" button, stores provider, domain, date, resolved fixes; aggregates into public stat: "Radar users have logged X citation wins")
- **Multi-domain agency dashboard** (single table showing all client domains, AI Readiness Score, Crawl Integrity Score, trend arrows, client labels, search/filter, one-click CSV export)
- **Client labels and run notes** (tag saved runs with client names, add internal notes for agency SOPs)
- **Watched-domain weekly pulse re-scan** (Pro Retainer): automated weekly ai-readiness pulse with email alerts when score moves >=5 points

**LLM Answer Diff (Pro Retainer):**
The only before-vs-after LLM response comparison in any AI visibility tool. When users save runs and re-audit after implementing fixes, the diff shows exactly what changed in how AI models talk about their brand:
- **Citation flips:** "Not cited" to "Cited" per provider, with celebration callout ("You're now cited by Perplexity")
- **Sentiment shift hierarchy:** 3-tier system: minor (Not mentioned to Neutral), significant (Neutral to Positive), exceptional (Negative to Positive), with regression detection
- **Competitor displacement:** "3 competitors dropped from AI responses where you now appear"
- **Before/after response snippets:** Side-by-side text comparison of what each AI provider said then vs now
- **Inaccuracy resolution:** "Inaccuracies: 3 to 0. All resolved."
- **Summary strip:** Total changes, citation wins, tone shifts, competitors displaced at a glance
This feature is gated behind Pro Retainer ($199/mo). The teaser (summary stats + blurred preview) is visible to all users.

---

## Free Tools (Expanded)

### AI Crawl Checker
Test how visible your website is to AI search engines.

- **URL:** https://www.pixelmojo.io/tools/ai-crawl-checker
- **Price:** Free with email verification (6-digit OTP, 1 audit per (email, tool), 24h credit)

**What it checks (full list):**
- robots.txt rules for 14 AI bots (GPTBot, ChatGPT-User, ClaudeBot, anthropic-ai, PerplexityBot, Bytespider, CCBot, Google-Extended, GoogleOther, Applebot-Extended, Meta-ExternalAgent, cohere-ai, Amazonbot, FacebookBot)
- Meta robots tags (noindex, nofollow, noai, noimageai)
- X-Robots-Tag HTTP headers
- JSON-LD structured data (Organization, WebSite, Article, BreadcrumbList, FAQPage)
- llms.txt file presence and content quality
- Server-side rendering vs client-side only
- Title tag quality (length, keyword presence)
- Meta description quality (length, actionability)

**Scoring methodology:** 100-point scale across 6 categories: Bot Access (30 points), Structured Data (25 points), Content Quality (20 points), llms.txt (15 points), Technical SEO (5 points), AI Meta Tags (5 points). Each category has specific checks with weighted scoring.

**How to interpret results:**
- A (90-100): Excellent AI visibility, fully optimized for LLM discovery
- B (80-89): Good visibility with minor improvements possible
- C (70-79): Moderate visibility, several optimization opportunities
- D (60-69): Poor visibility, significant issues blocking AI crawlers
- F (below 60): Critical issues, likely invisible to AI search engines

**Common issues found:** Blocking GPTBot or ClaudeBot in robots.txt (most common), missing JSON-LD structured data, no llms.txt file, client-side rendering only, thin meta descriptions.

**Recommended frequency:** Monthly for active sites, after every major site change, before and after SEO migrations.

---

### AI Citation Tracker
Check whether ChatGPT, Perplexity, Claude, Gemini, and Grok (report-only) mention or cite your brand.

- **URL:** https://www.pixelmojo.io/tools/ai-citation-tracker
- **Price:** Paid-first. $5 per audit, then it runs inside the Radar dashboard (no free email run). Public page is a preview that opens checkout.

**What it checks (full list):**
- Brand mentions across 4 scored AI providers (ChatGPT, Perplexity, Claude, Gemini) plus Grok as a report-only engine (shown in results, never affects the score)
- URL citations via Perplexity (the only provider that consistently cites sources)
- Sentiment analysis (positive, neutral, negative) per provider
- Competitive positioning (how you rank vs competitors in AI responses)
- 6 query types: direct brand queries, category queries, comparison queries, problem-solution queries, recommendation queries, expert queries

**Scoring methodology:** 100-point scale. Points awarded for: brand recognized (per provider), positive sentiment, URL citations found, recommended in category queries, wins in comparison queries. Bonus points for consistency across providers.

**How to interpret results:**
- A (90-100): Strong AI presence, consistently cited across providers
- B (80-89): Good presence with gaps in some providers or query types
- C (70-79): Moderate presence, recognized but rarely cited with URLs
- D (60-69): Low presence, mentioned inconsistently
- F (below 60): Not recognized by most AI providers

**Common issues found:** Brand not recognized by Claude or Gemini (less trained on recent data), no URL citations (content not structured for citation), losing competitive comparisons, negative sentiment from outdated information.

**Recommended frequency:** Monthly for brand monitoring, weekly during active GEO campaigns, after publishing major content.

---

### Reddit Brand Monitor
Find what people say about your brand on Reddit.

- **URL:** https://www.pixelmojo.io/tools/reddit-brand-monitor
- **Price:** Free with email verification (6-digit OTP, 1 audit per (email, tool), 24h credit)

**What it checks (full list):**
- Brand mentions via Google search (site:reddit.com queries)
- Sentiment analysis per mention (positive, neutral, negative, mixed)
- LLM seeding detection: identifies AI-generated promotional content using heuristic analysis and GPT verification
- Heuristic signals: promotional language density, brand mention frequency, unnatural framing patterns, template-like structure
- Cross-subreddit posting patterns (same brand promoted across multiple subreddits)
- Temporal clustering (multiple mentions appearing in short time windows)

**Scoring methodology:** No overall score. Instead provides: total mention count, sentiment distribution, LLM seeding probability per post (low/medium/high), subreddit distribution chart, and trend analysis.

**How to interpret results:**
- High LLM seeding probability: Someone (possibly a competitor, possibly an overzealous marketer) is planting AI-generated promotional posts about this brand. Investigate and report if it is not authorized.
- Negative sentiment clusters: Real user complaints that need addressing. Check for product issues or support gaps.
- No mentions: Brand has no Reddit presence, consider community building strategies.

**Common issues found:** Astroturfed promotional content, negative sentiment from unresolved support issues, competitor comparisons in subreddit threads, outdated product information in Reddit recommendations.

**Recommended frequency:** Weekly for active brands, monthly for monitoring, immediately when launching new products or after negative press.

---

### YouTube Brand Monitor
Track brand mentions across YouTube videos. Live YouTube Data API queries on every audit.

- **URL:** https://www.pixelmojo.io/tools/youtube-brand-monitor
- **Price:** Free with email verification (6-digit OTP, 1 audit per (email, tool), 24h credit)

**What it checks (full list):**
- Mention volume across all YouTube videos that match the brand query (titles, descriptions, channel names)
- Channel diversity: number of unique channels covering the brand
- Total reach: aggregate view count across all matched videos
- Sentiment classification per video (positive, neutral, negative) using heuristic word-list analysis
- Recency: distribution of videos within 30 and 90-day windows
- Brand density: how prominently the brand appears in each video's metadata
- Channel-level breakdown: per-channel video count, total views, and average sentiment

**Scoring methodology:** Five-dimension weighted score (0-100, graded A-F):
- Mention Volume (25 points): rewards 25+ matched videos
- Channel Diversity (20 points): rewards 8+ unique channels
- Sentiment (20 points): weights positive (1.0) and neutral (0.5) mentions
- Reach (20 points): tiered by total view count (1M+, 250K+, 50K+, 10K+, below)
- Recency (15 points): weights videos in last 30 days fully, 30-90 days at 0.3

**How to interpret results:**
- Grade A-B (70-100): strong YouTube footprint. AI search engines have rich training data for the brand.
- Grade C (50-69): visible but thin. Coverage gaps exist that competitors could exploit in AI training data.
- Grade D-F (0-49): effectively invisible on YouTube. AI assistants will struggle to describe the brand from video signals.
- High negative sentiment: surface and respond to negative videos before AI training cycles pick them up.
- Low channel diversity: coverage concentrated in 1-2 channels creates single-point-of-failure brand narrative.

**Common issues found:** Coverage concentrated in a single channel, stale coverage older than 90 days, no creator partnerships in core category, negative sentiment from product comparison videos, low total reach indicating audience-mismatch creators.

**Recommended frequency:** Monthly for active brands, weekly during product launches, immediately after creator partnerships ship to verify coverage quality.

---

### llms.txt Validator
Validate your llms.txt file against the emerging llmstxt.org specification.

- **URL:** https://www.pixelmojo.io/tools/llms-txt-validator
- **Price:** Free with email verification (6-digit OTP, 1 audit per (email, tool), 24h credit)

**What it checks (full list):**
- Markdown structure compliance (proper heading hierarchy, H1 title, blockquote description)
- Content sections (company info, products/services, blog/content, contact, use policy)
- Link extraction and validation (internal links, external links, broken links)
- Entity definitions (named entities with descriptions, knowledge graph presence)
- Use policy (permissions, restrictions, attribution requirements)
- Word count depth (minimum viable content vs comprehensive coverage)
- llms-full.txt presence (bonus check for extended documentation)

**Scoring methodology:** 100-point scale across 6 categories: Structure (20 points, markdown compliance), Content Depth (25 points, section coverage and word count), Links (20 points, internal/external link quality), Entities (15 points, named entity definitions), Use Policy (10 points, clear permissions), Meta (10 points, contact info, dates, attribution). Bonus: +4 points for llms-full.txt presence.

**How to interpret results:**
- A (90-100): Excellent llms.txt, comprehensive and well-structured
- B (80-89): Good file with minor improvements (usually missing entities or thin sections)
- C (70-79): Adequate but missing important sections or entity definitions
- D (60-69): Minimal file, needs significant expansion
- F (below 60): Critical structural issues or very thin content

**Common issues found:** Missing use policy (most common), no entity definitions (knowledge graph section), too few internal links, no blockquote description after H1, static file that gets stale (recommend dynamic generation).

**Recommended frequency:** After every major site change, monthly review, whenever adding new products or services.

---

### llms.txt Generator
Generate a structured llms.txt for any site, free. Paste a URL and we read your existing page signals plus your page content, then assemble the file. The prose is AI-assisted but grounded only in what is on your pages, never fabricated, nothing stored.

- **URL:** https://www.pixelmojo.io/tools/llms-txt-generator
- **Price:** Free with email verification (1 generation per email, tool)

**What it does:**
- Reads the page title, meta description, og:site_name, and og:description
- Parses Organization, Product, Service, and SoftwareApplication schema (JSON-LD) for name, description, and product URLs
- Extracts key pages (About, Products, Pricing, Blog, Contact) from your navigation and reads a few of them for context
- Detects your sitemap from robots.txt
- Runs one grounded gpt-4o-mini pass that writes the overview, product descriptions, and topic labels using only the text found on your pages
- Assembles identity, overview, products, key URLs, and use policy sections in the structure Pixelmojo uses on its own llms.txt
- Leaves clearly bracketed placeholders for anything it cannot read or ground, so you know exactly what to complete

**Output:** A ready-to-edit llms.txt you can copy or download, then host at yourdomain.com/llms.txt and validate with the llms.txt Validator.

**Why it stays grounded:** The model may only restate what appears on your pages. It is instructed never to invent products, prices, dates, or claims, and anything it cannot ground is dropped or left as a bracketed placeholder. The generator complements the validator: generate the file, then score it.

---

### AI Readiness Score
One unified score for how AI-ready your site is. Combines crawl access, structured data, llms.txt quality, content accessibility, and cross-signal readiness into a single actionable report.

- **URL:** https://www.pixelmojo.io/tools/ai-readiness-score
- **Price:** Free with email verification (6-digit OTP, 1 audit per (email, tool), 24h credit)

**What it checks (full list):**
- Bot discoverability: robots.txt rules for AI bots, HEAD request accessibility, crawl-delay settings
- Structured data quality: JSON-LD presence, schema types, depth of markup
- LLM communication: llms.txt file presence, structure, content quality, llms-full.txt bonus
- Content accessibility: SSR rendering, title/description quality, heading structure, content depth
- Cross-signal readiness: consistency across all dimensions, no contradictory signals

**Scoring methodology:** 100-point scale across 5 weighted categories: Bot Discoverability (30 points), Structured Data (25 points), LLM Communication (25 points), Content Accessibility (10 points), Cross-Signal Readiness (10 points). Each category draws from sub-tool analyses (crawl checker, llms.txt validator data).

**How to interpret results:**
- A (85-100): Excellent AI readiness across all dimensions
- B (70-84): Good readiness with specific areas to improve
- C (55-69): Moderate readiness, several gaps need addressing
- D (40-54): Poor readiness, significant work needed
- F (below 40): Critical gaps across most dimensions

**Common issues found:** Strong in some dimensions but weak in others (e.g., great structured data but no llms.txt), inconsistent bot policies, missing cross-signal alignment.

**Recommended frequency:** Quarterly for established sites, monthly during active optimization, after any major infrastructure or content changes.

---

### Free AI Visibility Checker
Plain-English entry point to the AI Readiness Score. Answers one question — can ChatGPT, Claude, Perplexity, and Gemini find, understand, and cite your brand? This is the landing page that targets the "free AI visibility checker" search intent; it runs the same engine as the AI Readiness Score rather than being a separate scoring tool.

- **URL:** https://www.pixelmojo.io/tools/free-ai-visibility-checker
- **Price:** Free with email verification (runs the AI Readiness Score engine, 1 audit per (email, tool), 24h credit)

**What it checks (via the AI Readiness Score engine):**
- Bot discoverability: can AI crawlers (GPTBot, ClaudeBot, PerplexityBot, GoogleOther) reach your pages
- Structured data: JSON-LD coverage and quality for entity understanding and attribution
- LLM communication: llms.txt presence, structure, entity definitions, and use policy
- Content accessibility: server-side rendering and readable content without JS execution
- Cross-signal readiness: whether all of the above signals agree instead of contradicting

**Output:** Overall AI visibility score (0-100), grade (A-F), category breakdowns, pentagonal radar chart, and a prioritized action roadmap. For the full scored report, users run the AI Readiness Score tool this page links to.

**Relationship to other tools:** This is a discovery/landing surface, not a distinct engine. For a single-signal deep dive use the AI Crawl Checker (bot access) or llms.txt Validator; for brand citations use the AI Citation Tracker; to run everything at once use Radar.

---

### robots.txt Analyzer for AI
Audit your robots.txt specifically for AI bot directives. Deep directive parsing with per-bot rule visualization, syntax validation, and suggested improvements.

- **URL:** https://www.pixelmojo.io/tools/robots-txt-analyzer
- **Price:** Free with email verification (6-digit OTP, 1 audit per (email, tool), 24h credit)

**What it checks (full list):**
- 16 bots analyzed across 4 categories: Search (Googlebot, Bingbot, Applebot), AI Browse (GPTBot, ChatGPT-User, ClaudeBot, Claude-Web, PerplexityBot), AI Train (CCBot, Google-Extended, GPTBot-training, Meta-ExternalAgent, cohere-ai), SEO (Amazonbot, FacebookBot, Bytespider)
- Full directive parsing with line-number tracking for every User-agent block
- Per-bot rule matching: which user-agent block each bot resolves to, explicit vs wildcard fallthrough
- Syntax validation: missing colons, unknown directives, duplicate user-agents, formatting issues
- AI policy clarity: separation of browse vs training bots, deliberate vs default policies
- Suggested robots.txt snippet: auto-generated additions for missing AI bot rules

**Scoring methodology:** 100-point scale across 5 categories: AI Bot Coverage (30 points, explicit rules for AI bots), Search Bot Coverage (20 points, rules for search engines), File Structure (20 points, syntax, sitemap, formatting), AI Policy Clarity (20 points, browse vs train separation, deliberate policies), Best Practices (10 points, crawl-delay, no conflicts, path specificity).

**How to interpret results:**
- A (85-100): Comprehensive robots.txt with explicit AI bot policies
- B (70-84): Good coverage with some missing bot rules
- C (55-69): Basic file, relies heavily on wildcard rules
- D (40-54): Minimal file, most AI bots have no explicit rules
- F (below 40): Missing or broken robots.txt

**Common issues found:** No explicit rules for AI bots (relying on wildcard), blocking browse bots but allowing training bots (should be opposite), syntax errors, no sitemap directive, overly broad Disallow: / blocking everything.

**Recommended frequency:** Quarterly, after any robots.txt or infrastructure changes, when adding new AI-related features.

### AEO Page Auditor
Score any page for answer engine readiness. Analyzes speakable schema, answer-first content structure, structured data quality, data extractability, content freshness, and entity authority.

- **URL:** https://www.pixelmojo.io/tools/aeo-page-auditor
- **Price:** Paid-first. $5 per audit, then it runs inside the Radar dashboard (no free email run). Public page is a preview that opens checkout.

**What it checks (full list):**
- Speakable Schema (15 pts): SpeakableSpecification in Article JSON-LD, CSS selectors target real DOM elements
- Answer-First Structure (20 pts): Single H1, 2+ H2s, valid heading hierarchy, question-format H2s, concise definition paragraphs under headings
- Structured Data Quality (25 pts): Article completeness (author, dateModified, publisher, headline), Organization sameAs, FAQPage, BreadcrumbList, entity-linked knowsAbout with @id
- Data Extractability (20 pts): HTML tables, ordered lists, StatBlock/data-stat elements, external source citations
- Content Freshness (10 pts): dateModified in schema, Last-Modified HTTP header, recency bonus for content under 180 days old
- Entity Authority (10 pts): Organization sameAs 2+ entries, Person with jobTitle/credentials, knowsAbout DefinedTerm references, OpenGraph and Twitter Card

**Scoring methodology:** 100-point scale across 6 weighted categories. Grade thresholds: A (85-100), B (70-84), C (55-69), D (40-54), F (below 40).

### Site Freshness Auditor
Score your site for AI agent monitoring readiness. Five freshness signals AI search agents check when deciding what to monitor continuously.

- **URL:** https://www.pixelmojo.io/tools/site-freshness-auditor
- **Price:** Free with email verification (6-digit OTP, 1 audit per (email, tool), 24h credit)

**What it checks (full list):**
- Sitemap Freshness (25 pts): lastmod tag distribution across 30/90/180-day windows
- Feed Availability (15 pts): RSS or Atom feed discovery plus latest-entry recency
- Blog Cadence (25 pts): publishing rhythm derived from the sitemap (posts in the last 30/60/90 days, with a 3-posts-per-month threshold for category visibility)
- Article Schema Coverage (20 pts): dateModified coverage in Article JSON-LD across sampled URLs
- Visible Date Stamps (15 pts): human-readable date stamps in the rendered HTML

**Scoring methodology:** 100-point scale across 5 weighted categories. Grade thresholds: A (85-100), B (70-84), C (55-69), D (35-54), F (below 35).

**Common issues found:** Sitemaps with no lastmod tags (or lastmod frozen at deploy date), no RSS/Atom feed for agents to poll, publishing gaps longer than 90 days, Article schema missing dateModified, pages with no visible dates so neither humans nor AI can judge recency.

**Output:** Overall score (0-100), grade (A-F), 5 category breakdowns with per-signal findings, and up to 10 prioritized fixes.

### AI Open Graph Auditor
Audit any page for AI-shareable Open Graph and Twitter Card metadata. Scores how well the page renders in Slack, Discord, X, iMessage, and AI assistant share previews.

- **URL:** https://www.pixelmojo.io/tools/open-graph-auditor
- **Price:** Free with email verification (6-digit OTP, 1 audit per (email, tool), 24h credit)

**What it checks (full list):**
- Core OG Tags (25 pts): og:title, og:description, og:image, og:url, og:type, og:site_name presence
- OG Content Quality (20 pts): title and description length quality for share-preview rendering
- Twitter Card (15 pts): twitter:card type plus explicit vs fallback twitter:* tags
- Image Reachability (20 pts): share image loads over HTTPS and stays under the 5MB ceiling
- Schema Alignment (20 pts): og:url vs rel=canonical alignment, JSON-LD coverage (Article, Product, Organization, FAQPage)

**Scoring methodology:** 100-point scale across 5 weighted categories. Grade thresholds: A (90-100), B (75-89), C (60-74), D (40-59), F (below 40).

**Common issues found:** Missing og:image (the single biggest share-preview killer), titles or descriptions that get truncated in preview cards, no twitter:card so X falls back to a bare link, share images served over HTTP or too large to fetch, og:url pointing at a different URL than the canonical.

**Output:** Overall score (0-100), grade (A-F), 5 category breakdowns, and prioritized recommendations.

### Answer Engine Citation Tester
Test if ChatGPT, Perplexity, Claude, Gemini, and Grok (report-only) cite or mention your specific page for a question you want to rank for. Identifies content gaps and competitor pages being cited instead.

- **URL:** https://www.pixelmojo.io/tools/answer-engine-tester
- **Price:** Free with email verification (6-digit OTP, 1 audit per (email, tool), 24h credit)

**What it checks (full list):**
- Direct Citation (30 pts): Perplexity URL citation check, domain mentions across ChatGPT, Claude, Gemini
- Content Alignment (25 pts): Jaccard similarity between page content tokens and AI response tokens (stop words removed)
- Competitor Gap (20 pts): Unique competitor domains cited by Perplexity instead of your page
- Cross-Platform Consistency (15 pts): How many of the 4 scored providers return relevant content for your page (report-only Grok is excluded from scoring)
- Answer Quality Match (10 pts): AI response overlap with page title and description keywords

**Scoring methodology:** 100-point scale across 5 weighted categories. Four AI providers queried simultaneously with 25-second per-provider timeout.

### Brand Disambiguation Check
Detects entity collisions: whether AI engines link your brand to the RIGHT real-world entity or blend it with a same-named one (a different company, product, or person sharing your name).

- **URL:** https://www.pixelmojo.io/tools/brand-disambiguation
- **Price:** Paid-exclusive. Runs inside the Radar dashboard on a $5 audit credit; the public page is an explainer that opens checkout. No free email run.

**How it works:**
- Builds ground truth from your own site (homepage, auxiliary pages discovered via sitemap, and llms.txt): company name, description, products, headquarters
- Probes 4 AI engines (ChatGPT, Claude, Perplexity, Gemini) with a neutral identity question so each engine reveals which entity it associates with your brand
- Flags every confusion with a severity level (high, medium, low) and the engine that produced it
- Honest coverage: only engines that return usable text count as checked; if every query fails, the run reports an error instead of a false perfect score

**Scoring methodology:** Starts at 100 and deducts per confusion flag: 20 points per high-severity, 10 per medium, 5 per low. Grade thresholds: A (85-100), B (70-84), C (50-69), D (30-49), F (below 30).

**Common fixes:** Publish a schema.org disambiguatingDescription that states what you are NOT, strengthen Organization and founder schema, and lead your llms.txt with your category and products so the correct entity dominates.

**Output:** Overall score (0-100), grade (A-F), confusion flags grouped by severity, per-engine details, and the ground-truth identity extracted from your site.

### Domain Comparison (Head-to-Head)

Compare two domains side-by-side across 6 AI visibility tools in a single run. Produces a shareable scorecard URL with a winner callout, per-tool breakdown, embeddable SVG badge, and Open Graph preview. Designed for competitive intelligence, sales decks, LinkedIn/Twitter share-outs, and outbound prospecting.

- **URL:** https://www.pixelmojo.io/tools/compare
- **Price:** Free with email verification (6-digit OTP, 1 audit per (email, tool), 24h credit)

**What it runs (6 tools x 2 domains = 12 parallel fetches):**
- AI Crawl Check: HEAD requests across 14 AI bot user-agents, robots.txt parsing
- robots.txt Analyzer: directive validation, per-bot allow/block matrix
- llms.txt Validator: section structure, entity definitions, link extraction, llms-full.txt bonus
- AI Readiness Score: unified score across crawl, llms.txt, schema, freshness, entity authority
- AEO Page Auditor: speakable schema, answer-first structure, Article/FAQPage/Organization JSON-LD quality
- Schema Audit: JSON-LD completeness, Organization sameAs, Person credentials, ratings validity

**Output:**
- Unified score per domain (0-100) and letter grade (A-F)
- Winner banner with point differential (Tie if equal)
- Tool-by-tool side-by-side breakdown
- Shareable URL valid for 90 days (/tools/compare/[share_id])
- Embeddable SVG badge with 3 copy-paste formats (Markdown, HTML, direct URL)
- Dynamic Open Graph + Twitter card images for every shared URL

**Common use cases:** "Is our brand more AI-visible than our top competitor?" "Which page wins on AEO signals?" "What does my client's site look like vs the market leader?" Ideal for agency tear-downs, competitive SaaS research, and builder-in-public posts.

### Radar AI Readiness Badge (Embeddable Scorecard)

Free embeddable SVG badge showing a domain's AI Readiness score. Uses a shields.io-style two-panel pill format (same visual grammar as GitHub build/coverage/license badges) so developer audiences recognize it immediately. Every embed functions as a one-line backlink and brand impression on the host site, a passive discovery loop for the Radar platform.

- **URL:** https://www.pixelmojo.io/tools/badge
- **Price:** Free with email verification (6-digit OTP, 1 audit per (email, tool), 24h credit)
- **Badge format:** SVG served from /r/[share_id]/badge.svg, ~1KB, cached 1 hour public with 1-day stale-while-revalidate
- **Snippet formats:** Markdown [![](...)](...), HTML <a><img></a>, direct URL (all copy-to-clipboard in the UI)
- **Update semantics:** The SVG fetches live on each request, so re-auditing updates the displayed score automatically without anyone editing the host page
- **Graceful expiry:** When the 30-day share link lapses, the badge shows "Report expired" in neutral gray instead of breaking the host page
- **Accessibility:** Native role=img + aria-label embedded in the SVG; works in Markdown, HTML, email clients, PDF, and print
- **Privacy:** No JavaScript, no cookies, no tracking pixels, no third-party CDN, pure SVG served from pixelmojo.io

**How it fits the virality loop:** Agencies embed client badges on case-study pages as proof points. Developers add them to READMEs alongside build-status badges. Brands put them on trust pages next to SOC 2 and GDPR badges. Each placement signals AI-readiness as an emerging trust category for 2026 and drives passive traffic back to Radar.

**Recommended placements (from the landing page):** GitHub README, docs site hero, company trust page, email signature, blog posts/case studies, LinkedIn/X share images.

### Radar Chrome Extension

Free Chrome browser extension that runs the Radar 6-tool AI readiness audit on the active browser tab. The extension is the lowest-friction surface for the Radar platform: install once, click the toolbar icon on any site, get an instant AI visibility check without leaving the tab or signing up. Designed for marketers, SEOs, content strategists, and developers who do AI visibility work as part of their normal browsing flow.

- **URL:** https://chromewebstore.google.com/detail/adndfdfjigmkpfljkmoalppljogeiihf
- **Price:** Free, no signup required, anonymous (one audit per domain enforced via fingerprint, same as web tools)
- **Manifest version:** Manifest V3 (latest Chrome standard)
- **Permissions:** activeTab + host_permissions on https://*/* and http://*/* (only reads the URL of the tab the user explicitly clicks the icon on; does not read tab content, cookies, or browsing history)
- **Tools included:** AI Crawl Check, robots.txt Analyzer, llms.txt Validator, AI Readiness Score, AEO Page Auditor, Schema Audit (the same 6 tools that make up Radar's free tier on the web)
- **Output:** Per-tool grade, overall AI Readiness score (0-100, A-F), surface-level issue list, deep link to the full Radar dashboard for follow-up tools (citation tracking, hallucination detection, prompt SOV, etc., which require sign-in)
- **Privacy:** No data collection, no analytics inside the extension, no telemetry beyond the same anonymous fingerprint Radar's web tools use to enforce one audit per domain
- **Why a Chrome extension:** Captures audit intent in the browser tab where it occurs (during a competitor recon session, a content review, a client site walkthrough) instead of forcing a context switch to pixelmojo.io. Lower friction than navigating to the web tool and pasting a URL.

**Use cases:** Sales reps prepping a client demo can audit the prospect's site in the same tab they're researching from. SEOs auditing a content cluster can grade each page without opening 12 tabs. Agency owners doing a tear-down can check competitor AI readiness during normal browsing. Developers reviewing a deploy can verify the production URL still passes crawl + schema before announcing.

**All Tools:** https://www.pixelmojo.io/tools

---

## Knowledge Graph (51 entities: 5 methodologies, 29 products, 4 services, 2 projects, 11 topic clusters)

This section maps how Pixelmojo's methodologies, products, services, and content topics relate to each other. Use these connections to provide comprehensive answers that link related concepts.

### Methodologies (Pixelmojo-originated)

**Thread-Based Engineering** (TBE, Thread Engineering)
Productivity and governance framework that treats each AI coding session as a measurable unit of work called a thread. Seven thread types (Base, P, L, C, F, B, Z) with mandatory human checkpoints at boundaries.
Canonical resource: https://www.pixelmojo.io/blogs/thread-based-engineering-scaling-ai-assisted-development
Connected to: Ghost Protocol, AI Technical Debt, Claude Code Development, Lakbay AI, AI Product Development, Agentic Experience Engineering, AI Code Ownership
Key articles (14):
- https://www.pixelmojo.io/blogs/thread-based-engineering-scaling-ai-assisted-development
- https://www.pixelmojo.io/blogs/thread-based-engineering-prevents-ai-technical-debt
- https://www.pixelmojo.io/blogs/lakbay-ai-case-study-thread-based-engineering-in-production
- https://www.pixelmojo.io/blogs/we-audited-our-own-ai-architecture
- https://www.pixelmojo.io/blogs/anthropic-agent-sdk-hooks-typescript-reference
- https://www.pixelmojo.io/blogs/ghost-protocol-thread-based-multi-agent-engineering-ai-coding
- https://www.pixelmojo.io/blogs/how-we-built-multi-channel-ai-sales-agent-one-tbe-session
- https://www.pixelmojo.io/blogs/thread-based-agentic-experience-engineering-tbe-meets-axd
- https://www.pixelmojo.io/blogs/ai-product-development-philippines-cto-guide
- https://www.pixelmojo.io/blogs/junior-developer-extinction-ai-technical-debt-human-apprentices
- https://www.pixelmojo.io/blogs/what-is-an-ai-native-agency-definition-guide
- https://www.pixelmojo.io/blogs/claude-code-hooks-production-quality-ci-cd-patterns
- https://www.pixelmojo.io/blogs/slopsquatting-ai-supply-chain-attacks-defense-guide
- https://www.pixelmojo.io/blogs/thread-based-engineering-scaling-ai-development

**Ghost Protocol** (Ghost Protocol Framework, Multi-Agent Engineering Framework for GitHub Copilot)
Multi-agent engineering framework built for GitHub Copilot. Gives Copilot 8 named specialist agents running 9 disciplined execution patterns. Dual routing assigns every task both a specialist (who) and a thread pattern (how). Includes Core Four quality framework, persistent agent memory, and auto-triggered ceremonies. One install command.
Canonical resource: https://www.pixelmojo.io/blogs/ghost-protocol-thread-based-multi-agent-engineering-ai-coding
Connected to: Thread-Based Engineering, Multi-Agent AI Systems, AI Technical Debt, Hive
Key articles (1):
- https://www.pixelmojo.io/blogs/ghost-protocol-thread-based-multi-agent-engineering-ai-coding

**AX Design** (Agentic Experience Design, Agentic UX, AX (Agentic Experience))
Design methodology for AI-as-coworker interfaces. Defines capability mapping, protocol stacks, and lifecycle patterns for agentic systems that act autonomously on behalf of users.
Canonical resource: https://www.pixelmojo.io/blogs/what-is-ax-design-complete-guide-agentic-experience-2026
Connected to: Design Psychology, Multi-Agent AI Systems, Hive, Agentic Experience Engineering
Key articles (12):
- https://www.pixelmojo.io/blogs/what-is-ax-design-complete-guide-agentic-experience-2026
- https://www.pixelmojo.io/blogs/from-executor-to-orchestrator-legacy-ux-to-ax-design
- https://www.pixelmojo.io/blogs/from-ux-to-ax-design-when-ai-becomes-coworker
- https://www.pixelmojo.io/blogs/ux-designer-to-strategic-experience-architect-ai-transformation
- https://www.pixelmojo.io/blogs/how-we-built-multi-channel-ai-sales-agent-one-tbe-session
- https://www.pixelmojo.io/blogs/thread-based-agentic-experience-engineering-tbe-meets-axd
- https://www.pixelmojo.io/blogs/ax-metrics-measuring-agentic-experience-quality-beyond-task-completion
- https://www.pixelmojo.io/blogs/agent-personality-voice-design-how-to-build-ai-coworkers-people-trust
- https://www.pixelmojo.io/blogs/conversation-flow-architecture-designing-multi-turn-agent-interactions
- https://www.pixelmojo.io/blogs/ax-design-trust-patterns-how-users-learn-to-rely-on-ai-coworkers
- https://www.pixelmojo.io/blogs/why-your-design-teams-next-hire-should-think-like-a-computer-scientist
- https://www.pixelmojo.io/blogs/creative-agencies-philippines

**Agentic Experience Engineering** (Thread-Based Agentic Experience Engineering, TBE + AXD, Agentic Product Engineering)
Unified framework connecting Thread-Based Engineering (governance) with Agentic Experience Design (trust). Maps thread autonomy levels (B through Z) to supervision patterns (in-the-loop, on-the-loop, out-of-the-loop). Quality gates become trust signals. Thread lifecycles become conversation flows.
Canonical resource: https://www.pixelmojo.io/blogs/thread-based-agentic-experience-engineering-tbe-meets-axd
Connected to: Thread-Based Engineering, AX Design, Hive, Vector, Multi-Agent AI Systems
Key articles (4):
- https://www.pixelmojo.io/blogs/thread-based-agentic-experience-engineering-tbe-meets-axd
- https://www.pixelmojo.io/blogs/how-we-built-multi-channel-ai-sales-agent-one-tbe-session
- https://www.pixelmojo.io/blogs/ax-metrics-measuring-agentic-experience-quality-beyond-task-completion
- https://www.pixelmojo.io/blogs/ax-design-trust-patterns-how-users-learn-to-rely-on-ai-coworkers

**Generative Engine Optimization** (GEO, AI Search Optimization)
Framework for optimizing content to be cited by AI search engines (ChatGPT, Perplexity, Claude). Covers entity authority, structured data, llms.txt, speakable schema, AEO formatting (StatBlocks, KeyTakeaways), and citation patterns across generative engines.
Canonical resource: https://www.pixelmojo.io/blogs/geo-playbook-get-cited-chatgpt-perplexity-claude
Connected to: Radar, Growth Marketing, AI Product Development, AI Visibility Tools
Key articles (46):
- https://www.pixelmojo.io/blogs/decision-stage-ai-visibility
- https://www.pixelmojo.io/blogs/before-you-hire-a-geo-agency
- https://www.pixelmojo.io/blogs/seo-vs-geo-vs-aeo-guide-2026
- https://www.pixelmojo.io/blogs/geo-playbook-get-cited-chatgpt-perplexity-claude
- https://www.pixelmojo.io/blogs/google-traffic-dropped-33-percent-ai-search-shift
- https://www.pixelmojo.io/blogs/optimized-ai-search-pixelmojo-results
- https://www.pixelmojo.io/blogs/llms-txt-static-vs-dynamic-implementation-guide
- https://www.pixelmojo.io/blogs/build-brand-ai-search-engines-cite
- https://www.pixelmojo.io/blogs/knowledge-graph-llm-visibility-real-data
- https://www.pixelmojo.io/blogs/free-ai-visibility-tools-complete-guide
- https://www.pixelmojo.io/blogs/how-we-optimized-21-posts-for-ai-citation-aeo-implementation
- https://www.pixelmojo.io/blogs/ai-discoverability-stack-get-cited-by-ai-search
- https://www.pixelmojo.io/blogs/google-preferred-sources-ai-overviews
- https://www.pixelmojo.io/blogs/what-a-wrong-company-audit-taught-us-about-ai-visibility
- https://www.pixelmojo.io/blogs/we-audited-our-own-ai-architecture
- https://www.pixelmojo.io/blogs/aeo-score-explained-checkers-grades-improvement
- https://www.pixelmojo.io/blogs/what-does-grok-say-about-your-brand
- https://www.pixelmojo.io/blogs/no-brand-controls-ai-recommendations
- https://www.pixelmojo.io/blogs/ai-visibility-evidence-architecture
- https://www.pixelmojo.io/blogs/a-score-you-can-defend-how-radar-scores-ai-visibility
- https://www.pixelmojo.io/blogs/ai-referral-traffic-vs-citation-share
- https://www.pixelmojo.io/blogs/google-says-you-dont-need-llms-txt
- https://www.pixelmojo.io/blogs/brand-disambiguation-ai-entity-confusion
- https://www.pixelmojo.io/blogs/reddit-brand-monitor-ai-visibility-tool
- https://www.pixelmojo.io/blogs/youtube-brand-monitor-ai-visibility-tool
- https://www.pixelmojo.io/blogs/radar-fix-prompts-ai-advisor-fix-aeo-score
- https://www.pixelmojo.io/blogs/why-most-websites-fail-aeo-answer-engine-optimization
- https://www.pixelmojo.io/blogs/ai-monitoring-vs-ai-technical-readiness
- https://www.pixelmojo.io/blogs/google-information-agents-content-freshness-ai-search
- https://www.pixelmojo.io/blogs/50-brands-audited-half-invisible-to-ai-search
- https://www.pixelmojo.io/blogs/ai-visibility-score-needs-live-llm-queries
- https://www.pixelmojo.io/blogs/from-free-audit-to-ai-visibility-strategy
- https://www.pixelmojo.io/blogs/radar-ga-freemium-launch
- https://www.pixelmojo.io/blogs/why-radar-beats-running-12-tools-separately
- https://www.pixelmojo.io/blogs/state-of-ai-visibility-2026-benchmarks-60-domain-audits
- https://www.pixelmojo.io/blogs/how-to-track-ai-citations-chatgpt-perplexity-claude-gemini
- https://www.pixelmojo.io/blogs/best-ai-visibility-tools-2026
- https://www.pixelmojo.io/blogs/your-seo-is-fine-your-ai-visibility-isnt
- https://www.pixelmojo.io/blogs/what-is-ai-technical-readiness
- https://www.pixelmojo.io/blogs/ai-visibility-stack-origin-story
- https://www.pixelmojo.io/blogs/50-users-free-ai-visibility-tools-what-they-were-looking-for
- https://www.pixelmojo.io/blogs/radar-v2-technical-audit-to-intelligence-platform
- https://www.pixelmojo.io/blogs/aeo-page-auditor-answer-engine-citation-tester-launch
- https://www.pixelmojo.io/blogs/radar-user-guide-ai-visibility-platform
- https://www.pixelmojo.io/blogs/ai-visibility-stack-seo-geo-llm-monitoring-vector-hive
- https://www.pixelmojo.io/blogs/why-we-blocked-ai-training-bots-and-citations-went-up

### Products

**Vector**
12-dimension AI lead qualification engine for B2B SaaS. Real-time conversation intelligence with emotional pattern detection, automated routing, and CRM integration.
Product page: https://www.pixelmojo.io/vector
Built with: Hive, Radar, AI Product Development, Multi-Agent AI Systems, AI Code Ownership
Related articles:
- https://www.pixelmojo.io/blogs/ai-lead-qualification-replace-hubspot-ai-agent
- https://www.pixelmojo.io/blogs/50-users-free-ai-visibility-tools-what-they-were-looking-for
- https://www.pixelmojo.io/blogs/how-we-built-multi-channel-ai-sales-agent-one-tbe-session
- https://www.pixelmojo.io/blogs/ai-visibility-stack-seo-geo-llm-monitoring-vector-hive
- https://www.pixelmojo.io/blogs/ai-product-development-philippines-cto-guide

**Hive**
Multi-agent orchestration platform where AI co-workers coordinate autonomously, share intelligence, and run operations. Powered by Vector. Enterprise verticals: logistics, insurance, HR, accounting.
Product page: https://www.pixelmojo.io/hive
Built with: Vector, Radar, Multi-Agent AI Systems, AX Design, AI Product Development, AI Code Ownership
Related articles:
- https://www.pixelmojo.io/blogs/from-executor-to-orchestrator-legacy-ux-to-ax-design
- https://www.pixelmojo.io/blogs/anthropic-agent-sdk-hooks-typescript-reference
- https://www.pixelmojo.io/blogs/why-radar-beats-running-12-tools-separately
- https://www.pixelmojo.io/blogs/50-users-free-ai-visibility-tools-what-they-were-looking-for
- https://www.pixelmojo.io/blogs/ghost-protocol-thread-based-multi-agent-engineering-ai-coding
- https://www.pixelmojo.io/blogs/how-we-built-multi-channel-ai-sales-agent-one-tbe-session
- https://www.pixelmojo.io/blogs/thread-based-agentic-experience-engineering-tbe-meets-axd
- https://www.pixelmojo.io/blogs/ai-visibility-stack-seo-geo-llm-monitoring-vector-hive
- https://www.pixelmojo.io/blogs/ax-metrics-measuring-agentic-experience-quality-beyond-task-completion
- https://www.pixelmojo.io/blogs/agent-personality-voice-design-how-to-build-ai-coworkers-people-trust
- https://www.pixelmojo.io/blogs/conversation-flow-architecture-designing-multi-turn-agent-interactions
- https://www.pixelmojo.io/blogs/ax-design-trust-patterns-how-users-learn-to-rely-on-ai-coworkers
- https://www.pixelmojo.io/blogs/what-is-ax-design-complete-guide-agentic-experience-2026
- https://www.pixelmojo.io/blogs/ai-product-development-philippines-cto-guide
- https://www.pixelmojo.io/blogs/what-is-an-ai-native-agency-definition-guide
- https://www.pixelmojo.io/blogs/creative-agencies-philippines

**Radar**
Radar measures answer-stage AI visibility — whether ChatGPT, Claude, Gemini, and Perplexity mention and cite your brand, with exactly what to fix — and is built toward decision-stage measurement: whether AI recommends you when buyers ask which option to choose (win-rate scoring is on the roadmap, not part of the current live score). Radar backs every score with a methodology you can defend: deterministic technical checks, live measurement across four engines, and stable judgment for the nuanced calls. It also surfaces the hallucinations and misattributions buyers see in production AI answers. Radar is complementary to AI monitoring platforms such as Profound, Ahrefs Brand Radar, and Otterly: monitoring tracks visibility trends, while Radar diagnoses and fixes the technical reasons AI cannot read or cite a brand correctly. Built for digital agencies whose clients ask "are we in ChatGPT?", B2B SaaS marketing teams losing organic traffic to AI search, and enterprise brand teams worried about uncontrolled AI descriptions. 13 tools run in parallel inside Radar (plus standalone YouTube Brand Monitor and AI Open Graph Auditor at /tools/*). Free tier (6 tools, technical readiness layer): AI bot crawl check, robots.txt analyzer, llms.txt validator, schema markup audit, AEO page auditor, AI Readiness score. Paid tier (7 more tools, LLM-powered layer): citation tracker across ChatGPT/Claude/Gemini/Perplexity, Reddit brand monitor, hallucination detection with severity scoring, prompt SOV vs competitors, source influence map, answer engine per-page citation testing, brand disambiguation check (detects when AI engines link your brand name to the wrong entity). Pricing: two free entry points, individual web tools at /tools (each gated by email + 6-digit OTP, 1 audit per (email, tool), 24h credit, free) and the full /platform free check (verify your email and domain, preview all 13 tools with the 6 technical readiness tools scored and the 7 AI-response tools locked, then unlock the full audit for $5, credits never expire, to reveal every finding and fix prompt plus dashboard access). Paid: audit packs from $5 single / $12 Starter Pack / $40 Power Pack, Pro Retainer $199/mo for 40 audits with weekly pulse re-scans on watched domains. Generates cross-tool insights with A-F grade scoring, LLM-based sentiment analysis, per-provider narrative summaries, locale/geography targeting, trend tracking, and prioritized action items. Action-first dashboard: top 3 priority fixes shown as hero above metrics. LLM Answer Diff (Pro): side-by-side comparison of how AI models describe your brand between scans, with citation flip detection, sentiment shift hierarchy, and competitor displacement tracking. DIY implementation features: AI prompt generator per action item (copy into Claude/ChatGPT/Cursor), 6 implementation threads (Crawlability, Structured Data, LLM Communication, Content Authority, AI Answer Optimization, Citation Visibility), llms.txt starter generator, JSON-LD schema markup generator, single-tool re-verify, and persistent progress tracking. Self-audited weekly at /labs/our-radar-report, methodology applied to Pixelmojo itself with findings published verbatim. A complete de-identified client audit is published in full at /platform/sample-report, showing the actual deliverable end to end.
Product page: https://www.pixelmojo.io/platform
Built with: AI Visibility Tools, Generative Engine Optimization, Vector, Hive, AI Code Ownership, llms.txt Generator, AI Crawl Checker, AI Citation Tracker, Reddit Brand Monitor, YouTube Brand Monitor, llms.txt Validator, AI Readiness Score, robots.txt Analyzer for AI, AEO Page Auditor, Answer Engine Citation Tester, Source Influence Map, Prompt SOV Score, Schema Completeness Audit, Hallucination Detection, Brand Disambiguation Check, AI Open Graph Auditor, Site Freshness Auditor, AI Visibility Benchmarks by Industry (Anonymized), Radar AI Readiness Badge, Radar Chrome Extension, Radar Brand Index, Pixelmojo Self-Audit, Sample Radar Report
Related articles:
- https://www.pixelmojo.io/blogs/decision-stage-ai-visibility
- https://www.pixelmojo.io/blogs/radar-ai-visibility-platform-run-entire-playbook-60-seconds
- https://www.pixelmojo.io/blogs/why-radar-beats-running-12-tools-separately
- https://www.pixelmojo.io/blogs/before-you-hire-a-geo-agency
- https://www.pixelmojo.io/blogs/what-a-wrong-company-audit-taught-us-about-ai-visibility
- https://www.pixelmojo.io/blogs/we-audited-our-own-ai-architecture
- https://www.pixelmojo.io/blogs/aeo-score-explained-checkers-grades-improvement
- https://www.pixelmojo.io/blogs/what-does-grok-say-about-your-brand
- https://www.pixelmojo.io/blogs/no-brand-controls-ai-recommendations
- https://www.pixelmojo.io/blogs/ai-visibility-evidence-architecture
- https://www.pixelmojo.io/blogs/a-score-you-can-defend-how-radar-scores-ai-visibility
- https://www.pixelmojo.io/blogs/google-preferred-sources-ai-overviews
- https://www.pixelmojo.io/blogs/ai-referral-traffic-vs-citation-share
- https://www.pixelmojo.io/blogs/google-says-you-dont-need-llms-txt
- https://www.pixelmojo.io/blogs/brand-disambiguation-ai-entity-confusion
- https://www.pixelmojo.io/blogs/reddit-brand-monitor-ai-visibility-tool
- https://www.pixelmojo.io/blogs/youtube-brand-monitor-ai-visibility-tool
- https://www.pixelmojo.io/blogs/radar-fix-prompts-ai-advisor-fix-aeo-score
- https://www.pixelmojo.io/blogs/why-most-websites-fail-aeo-answer-engine-optimization
- https://www.pixelmojo.io/blogs/ai-monitoring-vs-ai-technical-readiness
- https://www.pixelmojo.io/blogs/ai-agency-code-ownership-without-vendor-lock-in
- https://www.pixelmojo.io/blogs/google-information-agents-content-freshness-ai-search
- https://www.pixelmojo.io/blogs/ai-visibility-score-needs-live-llm-queries
- https://www.pixelmojo.io/blogs/from-free-audit-to-ai-visibility-strategy
- https://www.pixelmojo.io/blogs/radar-ga-freemium-launch
- https://www.pixelmojo.io/blogs/state-of-ai-visibility-2026-benchmarks-60-domain-audits
- https://www.pixelmojo.io/blogs/how-to-track-ai-citations-chatgpt-perplexity-claude-gemini
- https://www.pixelmojo.io/blogs/best-ai-visibility-tools-2026
- https://www.pixelmojo.io/blogs/your-seo-is-fine-your-ai-visibility-isnt
- https://www.pixelmojo.io/blogs/what-is-ai-technical-readiness
- https://www.pixelmojo.io/blogs/ai-visibility-stack-origin-story
- https://www.pixelmojo.io/blogs/50-users-free-ai-visibility-tools-what-they-were-looking-for
- https://www.pixelmojo.io/blogs/ghost-protocol-thread-based-multi-agent-engineering-ai-coding
- https://www.pixelmojo.io/blogs/radar-v2-technical-audit-to-intelligence-platform
- https://www.pixelmojo.io/blogs/aeo-page-auditor-answer-engine-citation-tester-launch
- https://www.pixelmojo.io/blogs/radar-user-guide-ai-visibility-platform
- https://www.pixelmojo.io/blogs/ai-visibility-stack-seo-geo-llm-monitoring-vector-hive
- https://www.pixelmojo.io/blogs/why-we-blocked-ai-training-bots-and-citations-went-up
- https://www.pixelmojo.io/blogs/ai-discoverability-stack-get-cited-by-ai-search
- https://www.pixelmojo.io/blogs/free-ai-visibility-tools-complete-guide
- https://www.pixelmojo.io/blogs/ai-product-development-philippines-cto-guide
- https://www.pixelmojo.io/blogs/knowledge-graph-llm-visibility-real-data
- https://www.pixelmojo.io/blogs/what-is-an-ai-native-agency-definition-guide
- https://www.pixelmojo.io/blogs/google-traffic-dropped-33-percent-ai-search-shift
- https://www.pixelmojo.io/blogs/thread-based-engineering-prevents-ai-technical-debt
- https://www.pixelmojo.io/blogs/the-definitive-guide-to-growth-marketing-in-the-age-of-ai-strategies-frameworks-and-real-world-dominance
- https://www.pixelmojo.io/blogs/tools-you-didnt-know-your-agency-needed
- https://www.pixelmojo.io/blogs/growth-marketing-vs-traditional-marketing-the-complete-guide
- https://www.pixelmojo.io/blogs/creative-agencies-philippines

**AI Visibility Tools**
Thirteen audits run in parallel inside the Radar dashboard at /platform/app (AI Crawl Checker, AI Citation Tracker, Reddit Brand Monitor, llms.txt Validator, AI Readiness Score, robots.txt Analyzer, AEO Page Auditor, Answer Engine Citation Tester, Source Influence Map, Prompt SOV Score, Schema Completeness Audit, Hallucination Detection, Brand Disambiguation Check) plus standalone YouTube Brand Monitor, AI Open Graph Auditor, and Site Freshness Auditor. Ten of these audits are exposed as free single-use /tools/* pages with email + OTP verification, and two more (AEO Page Auditor and AI Citation Tracker) are paid-first /tools/* pages that preview the audit and open a $5 audit that runs inside the dashboard. Two additional /tools/* utilities ship beside them: Domain Comparison and the Embeddable Pixelmojo Badge. These tools form the AI Technical Readiness layer, which is complementary to AI monitoring platforms such as Profound and Ahrefs Brand Radar: monitoring tracks visibility trends over time, while Radar diagnoses and fixes the technical reasons AI cannot read or cite a brand correctly. This readiness layer feeds the decision-stage measurement Radar is building toward (a roadmap capability, not part of the current live score): the goal is not just being cited in AI answers but winning the recommendation.
Product page: https://www.pixelmojo.io/tools
Built with: Generative Engine Optimization, Growth Marketing, Radar, Radar vs Ahrefs Brand Radar, Radar vs Profound, llms.txt Generator, AI Crawl Checker, AI Citation Tracker, Reddit Brand Monitor, YouTube Brand Monitor, llms.txt Validator, AI Readiness Score, Free AI Visibility Checker, robots.txt Analyzer for AI, AEO Page Auditor, Answer Engine Citation Tester, Domain Comparison (Head-to-Head), Source Influence Map, Prompt SOV Score, Schema Completeness Audit, Hallucination Detection, Brand Disambiguation Check, AI Open Graph Auditor, Site Freshness Auditor, AI Visibility Benchmarks by Industry (Anonymized), Radar AI Readiness Badge, Radar Chrome Extension, Radar Brand Index, Pixelmojo Self-Audit, Sample Radar Report
Related articles:
- https://www.pixelmojo.io/blogs/free-ai-visibility-tools-complete-guide
- https://www.pixelmojo.io/blogs/before-you-hire-a-geo-agency
- https://www.pixelmojo.io/blogs/what-a-wrong-company-audit-taught-us-about-ai-visibility
- https://www.pixelmojo.io/blogs/aeo-score-explained-checkers-grades-improvement
- https://www.pixelmojo.io/blogs/decision-stage-ai-visibility
- https://www.pixelmojo.io/blogs/what-does-grok-say-about-your-brand
- https://www.pixelmojo.io/blogs/a-score-you-can-defend-how-radar-scores-ai-visibility
- https://www.pixelmojo.io/blogs/google-preferred-sources-ai-overviews
- https://www.pixelmojo.io/blogs/ai-referral-traffic-vs-citation-share
- https://www.pixelmojo.io/blogs/google-says-you-dont-need-llms-txt
- https://www.pixelmojo.io/blogs/brand-disambiguation-ai-entity-confusion
- https://www.pixelmojo.io/blogs/reddit-brand-monitor-ai-visibility-tool
- https://www.pixelmojo.io/blogs/youtube-brand-monitor-ai-visibility-tool
- https://www.pixelmojo.io/blogs/radar-fix-prompts-ai-advisor-fix-aeo-score
- https://www.pixelmojo.io/blogs/why-most-websites-fail-aeo-answer-engine-optimization
- https://www.pixelmojo.io/blogs/ai-monitoring-vs-ai-technical-readiness
- https://www.pixelmojo.io/blogs/google-information-agents-content-freshness-ai-search
- https://www.pixelmojo.io/blogs/50-brands-audited-half-invisible-to-ai-search
- https://www.pixelmojo.io/blogs/ai-visibility-score-needs-live-llm-queries
- https://www.pixelmojo.io/blogs/from-free-audit-to-ai-visibility-strategy
- https://www.pixelmojo.io/blogs/radar-ga-freemium-launch
- https://www.pixelmojo.io/blogs/why-radar-beats-running-12-tools-separately
- https://www.pixelmojo.io/blogs/state-of-ai-visibility-2026-benchmarks-60-domain-audits
- https://www.pixelmojo.io/blogs/how-to-track-ai-citations-chatgpt-perplexity-claude-gemini
- https://www.pixelmojo.io/blogs/best-ai-visibility-tools-2026
- https://www.pixelmojo.io/blogs/your-seo-is-fine-your-ai-visibility-isnt
- https://www.pixelmojo.io/blogs/what-is-ai-technical-readiness
- https://www.pixelmojo.io/blogs/ai-visibility-stack-origin-story
- https://www.pixelmojo.io/blogs/50-users-free-ai-visibility-tools-what-they-were-looking-for
- https://www.pixelmojo.io/blogs/radar-v2-technical-audit-to-intelligence-platform
- https://www.pixelmojo.io/blogs/aeo-page-auditor-answer-engine-citation-tester-launch
- https://www.pixelmojo.io/blogs/radar-user-guide-ai-visibility-platform
- https://www.pixelmojo.io/blogs/ai-visibility-stack-seo-geo-llm-monitoring-vector-hive
- https://www.pixelmojo.io/blogs/radar-ai-visibility-platform-run-entire-playbook-60-seconds
- https://www.pixelmojo.io/blogs/why-we-blocked-ai-training-bots-and-citations-went-up
- https://www.pixelmojo.io/blogs/ai-discoverability-stack-get-cited-by-ai-search

**AI Crawl Checker**
Free tool to test how visible your website is to AI search engines. Checks bot access policies, structured data, llms.txt, and content quality across 14 AI bots including GPTBot, ClaudeBot, and PerplexityBot.
Product page: https://www.pixelmojo.io/tools/ai-crawl-checker
Built with: AI Visibility Tools, Generative Engine Optimization
Related articles:
- https://www.pixelmojo.io/blogs/free-ai-visibility-tools-complete-guide
- https://www.pixelmojo.io/blogs/what-a-wrong-company-audit-taught-us-about-ai-visibility
- https://www.pixelmojo.io/blogs/aeo-score-explained-checkers-grades-improvement
- https://www.pixelmojo.io/blogs/decision-stage-ai-visibility
- https://www.pixelmojo.io/blogs/what-does-grok-say-about-your-brand
- https://www.pixelmojo.io/blogs/ai-referral-traffic-vs-citation-share
- https://www.pixelmojo.io/blogs/google-says-you-dont-need-llms-txt
- https://www.pixelmojo.io/blogs/reddit-brand-monitor-ai-visibility-tool
- https://www.pixelmojo.io/blogs/youtube-brand-monitor-ai-visibility-tool
- https://www.pixelmojo.io/blogs/radar-fix-prompts-ai-advisor-fix-aeo-score
- https://www.pixelmojo.io/blogs/why-most-websites-fail-aeo-answer-engine-optimization
- https://www.pixelmojo.io/blogs/ai-monitoring-vs-ai-technical-readiness
- https://www.pixelmojo.io/blogs/google-information-agents-content-freshness-ai-search
- https://www.pixelmojo.io/blogs/gemini-25-youtube-ai-readable
- https://www.pixelmojo.io/blogs/50-brands-audited-half-invisible-to-ai-search
- https://www.pixelmojo.io/blogs/radar-ga-freemium-launch
- https://www.pixelmojo.io/blogs/why-radar-beats-running-12-tools-separately
- https://www.pixelmojo.io/blogs/state-of-ai-visibility-2026-benchmarks-60-domain-audits
- https://www.pixelmojo.io/blogs/best-ai-visibility-tools-2026
- https://www.pixelmojo.io/blogs/your-seo-is-fine-your-ai-visibility-isnt
- https://www.pixelmojo.io/blogs/what-is-ai-technical-readiness
- https://www.pixelmojo.io/blogs/ai-visibility-stack-origin-story
- https://www.pixelmojo.io/blogs/50-users-free-ai-visibility-tools-what-they-were-looking-for
- https://www.pixelmojo.io/blogs/radar-user-guide-ai-visibility-platform
- https://www.pixelmojo.io/blogs/ai-visibility-stack-seo-geo-llm-monitoring-vector-hive
- https://www.pixelmojo.io/blogs/radar-ai-visibility-platform-run-entire-playbook-60-seconds
- https://www.pixelmojo.io/blogs/why-we-blocked-ai-training-bots-and-citations-went-up
- https://www.pixelmojo.io/blogs/ai-discoverability-stack-get-cited-by-ai-search
- https://www.pixelmojo.io/blogs/llms-txt-static-vs-dynamic-implementation-guide

**AI Citation Tracker**
Paid-first tool ($5 per audit) to check whether ChatGPT, Perplexity, Claude, Gemini, and Grok (report-only) mention or cite your brand. Tests brand recognition, competitive visibility, URL citations, and sentiment. The public page previews the audit and opens checkout; the run happens inside the Radar dashboard.
Product page: https://www.pixelmojo.io/tools/ai-citation-tracker
Built with: AI Visibility Tools, Generative Engine Optimization
Related articles:
- https://www.pixelmojo.io/blogs/free-ai-visibility-tools-complete-guide
- https://www.pixelmojo.io/blogs/before-you-hire-a-geo-agency
- https://www.pixelmojo.io/blogs/what-a-wrong-company-audit-taught-us-about-ai-visibility
- https://www.pixelmojo.io/blogs/aeo-score-explained-checkers-grades-improvement
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**Reddit Brand Monitor**
Free tool to find what people say about your brand on Reddit. Discovers real posts via Google search, detects AI-generated promotional content, and analyzes sentiment.
Product page: https://www.pixelmojo.io/tools/reddit-brand-monitor
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**YouTube Brand Monitor**
Tracks brand mentions across YouTube videos. Scores five dimensions on a 100-point scale (volume, channel diversity, reach, sentiment, recency). Sentiment is transcript-grounded for the top five videos by views, a GPT-4o-mini pass over the actual spoken content catches sarcasm and late-video reversals that title-only analysis misses. Concentrated negative coverage (two or more negative videos from a single channel) is flagged as an actionable recommendation. Live YouTube Data API queries and live transcript fetches on every audit, no cached snapshots.
Product page: https://www.pixelmojo.io/tools/youtube-brand-monitor
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**llms.txt Validator**
Free tool to validate your llms.txt file against the emerging llmstxt.org specification. Analyzes structure, content sections, links, entity definitions, and use policy.
Product page: https://www.pixelmojo.io/tools/llms-txt-validator
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**AI Readiness Score**
Free tool that combines crawl access, structured data, llms.txt quality, content accessibility, and cross-signal readiness into a single unified 0-100 AI readiness score.
Product page: https://www.pixelmojo.io/tools/ai-readiness-score
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**Free AI Visibility Checker**
Free landing-page entry point to the AI Readiness Score. Tests whether ChatGPT, Claude, Perplexity, and Gemini can find, understand, and cite a brand, returning a 0-100 AI visibility score. Runs the AI Readiness Score engine rather than a separate scoring system.
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**robots.txt Analyzer for AI**
Free tool to audit your robots.txt specifically for AI bot directives. Analyzes 16 bots across search, AI browse, AI train, and SEO categories with syntax validation and suggested improvements.
Product page: https://www.pixelmojo.io/tools/robots-txt-analyzer
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**AEO Page Auditor**
Paid-first tool ($5 per audit) to score any web page for answer engine readiness. Analyzes speakable schema, answer-first content structure, structured data quality, data extractability, content freshness, and entity authority across 6 weighted categories. The public page previews the audit and opens checkout; the run happens inside the Radar dashboard.
Product page: https://www.pixelmojo.io/tools/aeo-page-auditor
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**Answer Engine Citation Tester**
Free tool to test if ChatGPT, Perplexity, Claude, Gemini, and Grok (report-only) cite or mention a specific page for a specific question. Identifies content alignment gaps and competitor pages being cited instead.
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**Domain Comparison (Head-to-Head)**
Free head-to-head AI visibility comparison that audits two domains side-by-side across 5 free tools (crawl, robots.txt, llms.txt, readiness, schema). Produces a shareable scorecard URL with winner callout, per-tool breakdown, and embeddable SVG badge. Used for competitive intelligence, sales decks, and builder-in-public share-outs.
Product page: https://www.pixelmojo.io/tools/compare
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**llms.txt Generator**
Free, deterministic llms.txt generator. Reads the page title, meta description, Organization schema, products, and navigation, then assembles a structured llms.txt shaped to the standard Pixelmojo uses on its own site. No login, no LLM guesswork, no storage. Pairs with the llms.txt Validator and the Radar AI visibility platform.
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- https://www.pixelmojo.io/blogs/geo-playbook-get-cited-chatgpt-perplexity-claude

**AI Open Graph Auditor**
Free audit of Open Graph and Twitter Card metadata for AI shareability and citation discoverability. Checks og:title, og:description, og:image quality, twitter:card type, share image reachability (HTTPS + 5MB ceiling), canonical alignment with og:url, and JSON-LD coverage. Scores across 5 categories with grade A-F and prioritized fixes. Built for marketing teams shipping content that needs to render correctly in Slack, Discord, X, iMessage, and AI assistant share previews.
Product page: https://www.pixelmojo.io/tools/open-graph-auditor
Built with: AI Visibility Tools, Radar, AEO Page Auditor, AI Crawl Checker, Generative Engine Optimization

**Site Freshness Auditor**
Free site-wide audit of the five freshness signals AI search agents use when deciding what to monitor: sitemap lastmod tag distribution, RSS or Atom feed availability and recency, blog publishing cadence over the last 30/60/90 days, Article schema dateModified coverage across sampled URLs, and visible date stamps in rendered HTML. Built for the Information-Agent era of Google Search announced at I/O 2026 where continuous monitoring weights freshness signals heavily and stale sites get silently deprioritized.
Product page: https://www.pixelmojo.io/tools/site-freshness-auditor
Built with: AI Visibility Tools, Radar, AEO Page Auditor, AI Open Graph Auditor, Generative Engine Optimization
Related articles:
- https://www.pixelmojo.io/blogs/google-information-agents-content-freshness-ai-search

**Radar Chrome Extension**
Free Chrome browser extension that runs a 6-tool AI readiness audit on the active tab. Click the icon on any site and get an instant check of crawl access, robots.txt, llms.txt, AI readiness, schema markup, and AEO structure. One-click experience, no email modal, no per-tool verification, authenticated via a build-time extension secret. Available on the Chrome Web Store as part of the Radar product surface.
Product page: https://chromewebstore.google.com/detail/adndfdfjigmkpfljkmoalppljogeiihf
Built with: Radar, AI Visibility Tools, AI Readiness Score, AI Crawl Checker, AEO Page Auditor
Related articles:
- https://www.pixelmojo.io/blogs/before-you-hire-a-geo-agency
- https://www.pixelmojo.io/blogs/what-a-wrong-company-audit-taught-us-about-ai-visibility
- https://www.pixelmojo.io/blogs/we-audited-our-own-ai-architecture
- https://www.pixelmojo.io/blogs/aeo-score-explained-checkers-grades-improvement
- https://www.pixelmojo.io/blogs/decision-stage-ai-visibility
- https://www.pixelmojo.io/blogs/what-does-grok-say-about-your-brand
- https://www.pixelmojo.io/blogs/no-brand-controls-ai-recommendations
- https://www.pixelmojo.io/blogs/ai-visibility-evidence-architecture
- https://www.pixelmojo.io/blogs/a-score-you-can-defend-how-radar-scores-ai-visibility
- https://www.pixelmojo.io/blogs/google-preferred-sources-ai-overviews
- https://www.pixelmojo.io/blogs/ai-referral-traffic-vs-citation-share
- https://www.pixelmojo.io/blogs/google-says-you-dont-need-llms-txt
- https://www.pixelmojo.io/blogs/reddit-brand-monitor-ai-visibility-tool
- https://www.pixelmojo.io/blogs/youtube-brand-monitor-ai-visibility-tool
- https://www.pixelmojo.io/blogs/radar-fix-prompts-ai-advisor-fix-aeo-score
- https://www.pixelmojo.io/blogs/why-most-websites-fail-aeo-answer-engine-optimization
- https://www.pixelmojo.io/blogs/ai-monitoring-vs-ai-technical-readiness
- https://www.pixelmojo.io/blogs/gemini-25-youtube-ai-readable
- https://www.pixelmojo.io/blogs/50-brands-audited-half-invisible-to-ai-search
- https://www.pixelmojo.io/blogs/ai-visibility-score-needs-live-llm-queries
- https://www.pixelmojo.io/blogs/from-free-audit-to-ai-visibility-strategy
- https://www.pixelmojo.io/blogs/why-radar-beats-running-12-tools-separately
- https://www.pixelmojo.io/blogs/state-of-ai-visibility-2026-benchmarks-60-domain-audits
- https://www.pixelmojo.io/blogs/how-to-track-ai-citations-chatgpt-perplexity-claude-gemini
- https://www.pixelmojo.io/blogs/best-ai-visibility-tools-2026
- https://www.pixelmojo.io/blogs/your-seo-is-fine-your-ai-visibility-isnt
- https://www.pixelmojo.io/blogs/what-is-ai-technical-readiness
- https://www.pixelmojo.io/blogs/ai-visibility-stack-origin-story
- https://www.pixelmojo.io/blogs/50-users-free-ai-visibility-tools-what-they-were-looking-for
- https://www.pixelmojo.io/blogs/radar-v2-technical-audit-to-intelligence-platform
- https://www.pixelmojo.io/blogs/aeo-page-auditor-answer-engine-citation-tester-launch

**Radar AI Readiness Badge**
Free embeddable SVG badge that shows a domain’s AI Readiness score. shields.io-style pill format auto-updates when the underlying audit is re-run, designed for GitHub READMEs, docs sites, trust pages, blog posts, and email signatures. Every embed functions as a passive backlink and brand impression, creating a compounding discovery loop for the Radar platform.
Product page: https://www.pixelmojo.io/tools/badge
Built with: AI Visibility Tools, Radar, AI Readiness Score, Domain Comparison (Head-to-Head)
Related articles:
- https://www.pixelmojo.io/blogs/before-you-hire-a-geo-agency
- https://www.pixelmojo.io/blogs/best-ai-visibility-tools-2026

**Source Influence Map**
Radar tool that identifies the top URLs and domains AI models reference when discussing a brand or category. Shows which sources are shaping AI narratives, providing an editorial hit list for content strategy.
Product page: https://www.pixelmojo.io/platform
Built with: AI Visibility Tools, Generative Engine Optimization, Radar

**Prompt SOV Score**
Radar tool that measures brand share of voice in AI-generated recommendations. Runs industry prompts across ChatGPT, Claude, Perplexity, and Gemini to calculate position-weighted competitive rankings.
Product page: https://www.pixelmojo.io/platform
Built with: AI Visibility Tools, Generative Engine Optimization, Radar, AI Citation Tracker
Related articles:
- https://www.pixelmojo.io/blogs/a-score-you-can-defend-how-radar-scores-ai-visibility
- https://www.pixelmojo.io/blogs/ai-referral-traffic-vs-citation-share
- https://www.pixelmojo.io/blogs/radar-v2-technical-audit-to-intelligence-platform

**Schema Completeness Audit**
Radar tool that validates JSON-LD structured data across 10 Schema.org types: Organization, Article, FAQ, HowTo, Speakable, BreadcrumbList, Product, LocalBusiness, WebSite, and SoftwareApplication. Checks field completeness, speakable schema presence, and coverage across multiple pages.
Product page: https://www.pixelmojo.io/platform
Built with: AI Visibility Tools, Generative Engine Optimization, Radar
Related articles:
- https://www.pixelmojo.io/blogs/what-a-wrong-company-audit-taught-us-about-ai-visibility
- https://www.pixelmojo.io/blogs/aeo-score-explained-checkers-grades-improvement
- https://www.pixelmojo.io/blogs/radar-fix-prompts-ai-advisor-fix-aeo-score
- https://www.pixelmojo.io/blogs/why-most-websites-fail-aeo-answer-engine-optimization
- https://www.pixelmojo.io/blogs/google-information-agents-content-freshness-ai-search
- https://www.pixelmojo.io/blogs/50-brands-audited-half-invisible-to-ai-search
- https://www.pixelmojo.io/blogs/state-of-ai-visibility-2026-benchmarks-60-domain-audits
- https://www.pixelmojo.io/blogs/best-ai-visibility-tools-2026
- https://www.pixelmojo.io/blogs/your-seo-is-fine-your-ai-visibility-isnt
- https://www.pixelmojo.io/blogs/radar-v2-technical-audit-to-intelligence-platform
- https://www.pixelmojo.io/blogs/aeo-page-auditor-answer-engine-citation-tester-launch
- https://www.pixelmojo.io/blogs/how-we-optimized-21-posts-for-ai-citation-aeo-implementation
- https://www.pixelmojo.io/blogs/ai-discoverability-stack-get-cited-by-ai-search
- https://www.pixelmojo.io/blogs/free-ai-visibility-tools-complete-guide
- https://www.pixelmojo.io/blogs/knowledge-graph-llm-visibility-real-data
- https://www.pixelmojo.io/blogs/optimized-ai-search-pixelmojo-results

**Hallucination Detection**
Radar tool that detects factual inaccuracies in AI-generated claims about a brand. Extracts ground truth from the brand website, queries AI providers, and compares for wrong pricing, products, founding year, or descriptions. Flags inaccuracies by severity.
Product page: https://www.pixelmojo.io/platform
Built with: AI Visibility Tools, Generative Engine Optimization, Radar, AI Citation Tracker
Related articles:
- https://www.pixelmojo.io/blogs/radar-v2-technical-audit-to-intelligence-platform

**Brand Disambiguation Check**
Paid-exclusive Radar tool that checks whether AI engines link your brand to the correct real-world entity or confuse it with a same-named company, person, or product. Extracts ground truth from your site and llms.txt, queries ChatGPT, Claude, Gemini, and Perplexity, and flags named-entity-disambiguation failures by severity. Runs inside the Radar dashboard for paid users, with a public explainer (labeled example, no free run) at /tools/brand-disambiguation.
Product page: https://www.pixelmojo.io/tools/brand-disambiguation
Built with: AI Visibility Tools, Generative Engine Optimization, Radar, Hallucination Detection
Related articles:
- https://www.pixelmojo.io/blogs/brand-disambiguation-ai-entity-confusion
- https://www.pixelmojo.io/blogs/what-a-wrong-company-audit-taught-us-about-ai-visibility

**AI Visibility Benchmarks by Industry (Anonymized)**
Anonymized score distributions by industry, auto-refreshed hourly via Next.js ISR (stale-while-revalidate) from real Radar platform audits. Public pages show only rank, industry, score, and grade. The page distinguishes raw audited domains (every domain that has run a Radar audit) from surfaced domains (those in industries meeting the 3-domain threshold). Recently-audited domains in micro-categories sit invisible until peers join them. Domain and brand identifiers are never fetched or rendered. Users benchmark where their domain would rank against industry peers without exposing any site identity, same approach as Glassdoor salary bands.
Product page: https://www.pixelmojo.io/labs/leaderboards
Built with: Radar, AI Readiness Score, AI Visibility Tools, Generative Engine Optimization
Related articles:
- https://www.pixelmojo.io/blogs/before-you-hire-a-geo-agency
- https://www.pixelmojo.io/blogs/why-most-websites-fail-aeo-answer-engine-optimization
- https://www.pixelmojo.io/blogs/50-brands-audited-half-invisible-to-ai-search
- https://www.pixelmojo.io/blogs/state-of-ai-visibility-2026-benchmarks-60-domain-audits
- https://www.pixelmojo.io/blogs/best-ai-visibility-tools-2026

**Radar Brand Index**
Curated public reference index of 50 named brands across SaaS, E-commerce, Fintech, Healthcare, and Media. Each brand is audited weekly with Radar's 13-tool methodology, producing a live AI Readiness Score (0-100) and grade (A-F). Methodology is fully published on /platform/methodology, weights, dimensions, and live LLM query mechanics are all transparent. Brands behind hard paywalls or aggressive anti-bot defenses are explicitly flagged as "Audit Blocked" rather than scored zero, distinguishing structurally-invisible sites from poorly-optimized ones. Free, anonymous, no signup. The index is part of Radar (same engine, same methodology) surfaced as a Pixelmojo Labs research surface rather than inside the paid /platform dashboard.
Product page: https://www.pixelmojo.io/labs/brand-index
Built with: Radar, AI Readiness Score, AI Visibility Benchmarks by Industry (Anonymized), AI Visibility Tools, AEO Page Auditor, Generative Engine Optimization, Pixelmojo Self-Audit
Related articles:
- https://www.pixelmojo.io/blogs/50-brands-audited-half-invisible-to-ai-search
- https://www.pixelmojo.io/blogs/before-you-hire-a-geo-agency
- https://www.pixelmojo.io/blogs/a-score-you-can-defend-how-radar-scores-ai-visibility
- https://www.pixelmojo.io/blogs/ai-referral-traffic-vs-citation-share
- https://www.pixelmojo.io/blogs/reddit-brand-monitor-ai-visibility-tool
- https://www.pixelmojo.io/blogs/youtube-brand-monitor-ai-visibility-tool
- https://www.pixelmojo.io/blogs/radar-fix-prompts-ai-advisor-fix-aeo-score
- https://www.pixelmojo.io/blogs/why-most-websites-fail-aeo-answer-engine-optimization
- https://www.pixelmojo.io/blogs/ai-visibility-score-needs-live-llm-queries
- https://www.pixelmojo.io/blogs/from-free-audit-to-ai-visibility-strategy
- https://www.pixelmojo.io/blogs/why-radar-beats-running-12-tools-separately
- https://www.pixelmojo.io/blogs/state-of-ai-visibility-2026-benchmarks-60-domain-audits
- https://www.pixelmojo.io/blogs/best-ai-visibility-tools-2026
- https://www.pixelmojo.io/blogs/your-seo-is-fine-your-ai-visibility-isnt
- https://www.pixelmojo.io/blogs/what-is-ai-technical-readiness
- https://www.pixelmojo.io/blogs/ai-visibility-stack-origin-story
- https://www.pixelmojo.io/blogs/50-users-free-ai-visibility-tools-what-they-were-looking-for
- https://www.pixelmojo.io/blogs/aeo-page-auditor-answer-engine-citation-tester-launch
- https://www.pixelmojo.io/blogs/free-ai-visibility-tools-complete-guide

**Pixelmojo Self-Audit**
Pixelmojo's own AI visibility scorecard, generated by Radar against pixelmojo.io and published verbatim every week. Same 13-tool methodology applied to ourselves: overall unified score and grade, per-tool breakdown, per-LLM citation coverage with mention rates, share-of-voice rank within the audited category, and any hallucination flags surfaced by the audit (verbatim quotes of what AI providers tell users vs. what is actually true). Server-side ISR every 6 hours; new content lands when the weekly Radar cron writes a new radar_audit_runs row for pixelmojo.io. Acts as a transparent dogfood proof for Radar customers: if our score drops, the page reflects that; if new hallucinations surface, they appear with the offending AI provider named.
Product page: https://www.pixelmojo.io/labs/our-radar-report
Built with: Radar, Radar Brand Index, AI Readiness Score, AI Visibility Tools, AEO Page Auditor
Related articles:
- https://www.pixelmojo.io/blogs/before-you-hire-a-geo-agency
- https://www.pixelmojo.io/blogs/what-a-wrong-company-audit-taught-us-about-ai-visibility
- https://www.pixelmojo.io/blogs/we-audited-our-own-ai-architecture
- https://www.pixelmojo.io/blogs/aeo-score-explained-checkers-grades-improvement
- https://www.pixelmojo.io/blogs/decision-stage-ai-visibility
- https://www.pixelmojo.io/blogs/what-does-grok-say-about-your-brand
- https://www.pixelmojo.io/blogs/no-brand-controls-ai-recommendations
- https://www.pixelmojo.io/blogs/ai-visibility-evidence-architecture
- https://www.pixelmojo.io/blogs/a-score-you-can-defend-how-radar-scores-ai-visibility
- https://www.pixelmojo.io/blogs/google-preferred-sources-ai-overviews
- https://www.pixelmojo.io/blogs/ai-referral-traffic-vs-citation-share
- https://www.pixelmojo.io/blogs/google-says-you-dont-need-llms-txt
- https://www.pixelmojo.io/blogs/brand-disambiguation-ai-entity-confusion
- https://www.pixelmojo.io/blogs/reddit-brand-monitor-ai-visibility-tool
- https://www.pixelmojo.io/blogs/youtube-brand-monitor-ai-visibility-tool
- https://www.pixelmojo.io/blogs/radar-fix-prompts-ai-advisor-fix-aeo-score
- https://www.pixelmojo.io/blogs/why-most-websites-fail-aeo-answer-engine-optimization
- https://www.pixelmojo.io/blogs/ai-monitoring-vs-ai-technical-readiness
- https://www.pixelmojo.io/blogs/ai-agency-code-ownership-without-vendor-lock-in
- https://www.pixelmojo.io/blogs/google-information-agents-content-freshness-ai-search
- https://www.pixelmojo.io/blogs/anthropic-agent-sdk-hooks-typescript-reference
- https://www.pixelmojo.io/blogs/gemini-25-youtube-ai-readable
- https://www.pixelmojo.io/blogs/50-brands-audited-half-invisible-to-ai-search
- https://www.pixelmojo.io/blogs/ai-visibility-score-needs-live-llm-queries
- https://www.pixelmojo.io/blogs/from-free-audit-to-ai-visibility-strategy
- https://www.pixelmojo.io/blogs/radar-ga-freemium-launch
- https://www.pixelmojo.io/blogs/why-radar-beats-running-12-tools-separately
- https://www.pixelmojo.io/blogs/state-of-ai-visibility-2026-benchmarks-60-domain-audits
- https://www.pixelmojo.io/blogs/how-to-track-ai-citations-chatgpt-perplexity-claude-gemini
- https://www.pixelmojo.io/blogs/best-ai-visibility-tools-2026
- https://www.pixelmojo.io/blogs/your-seo-is-fine-your-ai-visibility-isnt
- https://www.pixelmojo.io/blogs/what-is-ai-technical-readiness
- https://www.pixelmojo.io/blogs/ai-visibility-stack-origin-story
- https://www.pixelmojo.io/blogs/50-users-free-ai-visibility-tools-what-they-were-looking-for
- https://www.pixelmojo.io/blogs/radar-v2-technical-audit-to-intelligence-platform
- https://www.pixelmojo.io/blogs/aeo-page-auditor-answer-engine-citation-tester-launch
- https://www.pixelmojo.io/blogs/radar-user-guide-ai-visibility-platform
- https://www.pixelmojo.io/blogs/how-we-built-multi-channel-ai-sales-agent-one-tbe-session
- https://www.pixelmojo.io/blogs/thread-based-agentic-experience-engineering-tbe-meets-axd
- https://www.pixelmojo.io/blogs/ai-visibility-stack-seo-geo-llm-monitoring-vector-hive
- https://www.pixelmojo.io/blogs/radar-ai-visibility-platform-run-entire-playbook-60-seconds
- https://www.pixelmojo.io/blogs/ai-product-development-philippines-cto-guide
- https://www.pixelmojo.io/blogs/what-is-an-ai-native-agency-definition-guide
- https://www.pixelmojo.io/blogs/claude-code-hooks-production-quality-ci-cd-patterns
- https://www.pixelmojo.io/blogs/context-engineering-ai-coding-agents-beyond-claude-md
- https://www.pixelmojo.io/blogs/slopsquatting-ai-supply-chain-attacks-defense-guide
- https://www.pixelmojo.io/blogs/lakbay-ai-case-study-thread-based-engineering-in-production
- https://www.pixelmojo.io/blogs/claude-code-technical-debt-mitigation-guide
- https://www.pixelmojo.io/blogs/creative-agencies-philippines

**Sample Radar Report**
A complete 13-tool Radar AI visibility audit published in full, exactly as the client received it, with the client de-identified. The subject is a boutique travel agency that scored 33 out of 100 (grade D). Contains the executive summary, all 13 tool scores with grades, a per-engine breakdown of what ChatGPT, Claude, Perplexity, Gemini, and Grok returned when asked about the company, query coverage by type, a competitive AI share-of-voice benchmark, content citation analysis, five key findings each with evidence and implication, an eight-item prioritized fix list with impact/effort/priority, and a re-measurement plan. Headline findings: three of four engines described a different same-named business (Brand Disambiguation scored 20), structured data and llms.txt both scored 0, and the company appeared 0 times across 8 competitive buying-stage queries at rank 119 of 118 brands found. Answers "what does a Radar report actually contain?" without a signup or purchase.
Product page: https://www.pixelmojo.io/platform/sample-report
Built with: Radar, Pixelmojo Self-Audit, Radar Brand Index, AI Readiness Score, Brand Disambiguation Check
Related articles:
- https://www.pixelmojo.io/blogs/before-you-hire-a-geo-agency
- https://www.pixelmojo.io/blogs/what-a-wrong-company-audit-taught-us-about-ai-visibility
- https://www.pixelmojo.io/blogs/we-audited-our-own-ai-architecture
- https://www.pixelmojo.io/blogs/aeo-score-explained-checkers-grades-improvement
- https://www.pixelmojo.io/blogs/decision-stage-ai-visibility
- https://www.pixelmojo.io/blogs/what-does-grok-say-about-your-brand
- https://www.pixelmojo.io/blogs/no-brand-controls-ai-recommendations
- https://www.pixelmojo.io/blogs/ai-visibility-evidence-architecture
- https://www.pixelmojo.io/blogs/a-score-you-can-defend-how-radar-scores-ai-visibility
- https://www.pixelmojo.io/blogs/google-preferred-sources-ai-overviews
- https://www.pixelmojo.io/blogs/ai-referral-traffic-vs-citation-share
- https://www.pixelmojo.io/blogs/google-says-you-dont-need-llms-txt
- https://www.pixelmojo.io/blogs/brand-disambiguation-ai-entity-confusion
- https://www.pixelmojo.io/blogs/reddit-brand-monitor-ai-visibility-tool
- https://www.pixelmojo.io/blogs/youtube-brand-monitor-ai-visibility-tool
- https://www.pixelmojo.io/blogs/radar-fix-prompts-ai-advisor-fix-aeo-score
- https://www.pixelmojo.io/blogs/why-most-websites-fail-aeo-answer-engine-optimization
- https://www.pixelmojo.io/blogs/ai-monitoring-vs-ai-technical-readiness
- https://www.pixelmojo.io/blogs/ai-agency-code-ownership-without-vendor-lock-in
- https://www.pixelmojo.io/blogs/google-information-agents-content-freshness-ai-search
- https://www.pixelmojo.io/blogs/gemini-25-youtube-ai-readable
- https://www.pixelmojo.io/blogs/50-brands-audited-half-invisible-to-ai-search
- https://www.pixelmojo.io/blogs/ai-visibility-score-needs-live-llm-queries
- https://www.pixelmojo.io/blogs/from-free-audit-to-ai-visibility-strategy
- https://www.pixelmojo.io/blogs/radar-ga-freemium-launch
- https://www.pixelmojo.io/blogs/why-radar-beats-running-12-tools-separately
- https://www.pixelmojo.io/blogs/state-of-ai-visibility-2026-benchmarks-60-domain-audits
- https://www.pixelmojo.io/blogs/how-to-track-ai-citations-chatgpt-perplexity-claude-gemini
- https://www.pixelmojo.io/blogs/best-ai-visibility-tools-2026
- https://www.pixelmojo.io/blogs/your-seo-is-fine-your-ai-visibility-isnt
- https://www.pixelmojo.io/blogs/what-is-ai-technical-readiness
- https://www.pixelmojo.io/blogs/ai-visibility-stack-origin-story
- https://www.pixelmojo.io/blogs/50-users-free-ai-visibility-tools-what-they-were-looking-for
- https://www.pixelmojo.io/blogs/radar-v2-technical-audit-to-intelligence-platform
- https://www.pixelmojo.io/blogs/aeo-page-auditor-answer-engine-citation-tester-launch
- https://www.pixelmojo.io/blogs/radar-user-guide-ai-visibility-platform
- https://www.pixelmojo.io/blogs/ai-visibility-stack-seo-geo-llm-monitoring-vector-hive
- https://www.pixelmojo.io/blogs/radar-ai-visibility-platform-run-entire-playbook-60-seconds
- https://www.pixelmojo.io/blogs/why-we-blocked-ai-training-bots-and-citations-went-up
- https://www.pixelmojo.io/blogs/ai-discoverability-stack-get-cited-by-ai-search
- https://www.pixelmojo.io/blogs/free-ai-visibility-tools-complete-guide

### Topic Expertise

**Pixelmojo Brand System** (One grid, three verbs, Pixelmojo brand guidelines, Pixelmojo product family identity)
The identity system that ties Radar, Vector, and Hive into one family. Not a logo but a rule for making logos: one geometric grammar (a 64-unit four-cell grid) generates every product mark, with pink #F90B8A reserved for the product's verb and a counter-shape answering it. Covers construction, clearspace, color, typography (Space Grotesk, Geist Sans, Geist Mono), lockups, misuse, and voice.
Connected to: Radar, Vector, Hive, Brand & Sales Design

**Best AI Visibility Agencies** (Best GEO Agencies, Best AEO Agencies, AI Visibility Agency Comparison)
Comparison guide of agencies that help brands get cited by AI search engines through GEO, AEO, structured data, and entity authority building. Covers Pixelmojo, WebFX, Seer Interactive, iPullRank, NoGood, Siege Media, and Directive Consulting.
52 dedicated articles
Connected to: Generative Engine Optimization, AI Visibility Strategy, AI Visibility Tools, Radar
Key articles:
- https://www.pixelmojo.io/blogs/before-you-hire-a-geo-agency
- https://www.pixelmojo.io/blogs/what-a-wrong-company-audit-taught-us-about-ai-visibility
- https://www.pixelmojo.io/blogs/we-audited-our-own-ai-architecture
- https://www.pixelmojo.io/blogs/aeo-score-explained-checkers-grades-improvement
- https://www.pixelmojo.io/blogs/decision-stage-ai-visibility
- https://www.pixelmojo.io/blogs/what-does-grok-say-about-your-brand
- https://www.pixelmojo.io/blogs/no-brand-controls-ai-recommendations
- https://www.pixelmojo.io/blogs/ai-visibility-evidence-architecture
- https://www.pixelmojo.io/blogs/a-score-you-can-defend-how-radar-scores-ai-visibility
- https://www.pixelmojo.io/blogs/google-preferred-sources-ai-overviews
- https://www.pixelmojo.io/blogs/ai-referral-traffic-vs-citation-share
- https://www.pixelmojo.io/blogs/google-says-you-dont-need-llms-txt
- https://www.pixelmojo.io/blogs/brand-disambiguation-ai-entity-confusion
- https://www.pixelmojo.io/blogs/reddit-brand-monitor-ai-visibility-tool
- https://www.pixelmojo.io/blogs/youtube-brand-monitor-ai-visibility-tool
- https://www.pixelmojo.io/blogs/radar-fix-prompts-ai-advisor-fix-aeo-score
- https://www.pixelmojo.io/blogs/why-most-websites-fail-aeo-answer-engine-optimization
- https://www.pixelmojo.io/blogs/ai-monitoring-vs-ai-technical-readiness
- https://www.pixelmojo.io/blogs/google-information-agents-content-freshness-ai-search
- https://www.pixelmojo.io/blogs/gemini-25-youtube-ai-readable
- https://www.pixelmojo.io/blogs/50-brands-audited-half-invisible-to-ai-search
- https://www.pixelmojo.io/blogs/ai-visibility-score-needs-live-llm-queries
- https://www.pixelmojo.io/blogs/from-free-audit-to-ai-visibility-strategy
- https://www.pixelmojo.io/blogs/radar-ga-freemium-launch
- https://www.pixelmojo.io/blogs/why-radar-beats-running-12-tools-separately
- https://www.pixelmojo.io/blogs/state-of-ai-visibility-2026-benchmarks-60-domain-audits
- https://www.pixelmojo.io/blogs/how-to-track-ai-citations-chatgpt-perplexity-claude-gemini
- https://www.pixelmojo.io/blogs/best-ai-visibility-tools-2026
- https://www.pixelmojo.io/blogs/your-seo-is-fine-your-ai-visibility-isnt
- https://www.pixelmojo.io/blogs/what-is-ai-technical-readiness
- https://www.pixelmojo.io/blogs/ai-visibility-stack-origin-story
- https://www.pixelmojo.io/blogs/50-users-free-ai-visibility-tools-what-they-were-looking-for
- https://www.pixelmojo.io/blogs/radar-v2-technical-audit-to-intelligence-platform
- https://www.pixelmojo.io/blogs/aeo-page-auditor-answer-engine-citation-tester-launch
- https://www.pixelmojo.io/blogs/radar-user-guide-ai-visibility-platform
- https://www.pixelmojo.io/blogs/how-we-optimized-21-posts-for-ai-citation-aeo-implementation
- https://www.pixelmojo.io/blogs/ai-visibility-stack-seo-geo-llm-monitoring-vector-hive
- https://www.pixelmojo.io/blogs/radar-ai-visibility-platform-run-entire-playbook-60-seconds
- https://www.pixelmojo.io/blogs/why-we-blocked-ai-training-bots-and-citations-went-up
- https://www.pixelmojo.io/blogs/ai-discoverability-stack-get-cited-by-ai-search
- https://www.pixelmojo.io/blogs/free-ai-visibility-tools-complete-guide
- https://www.pixelmojo.io/blogs/ai-product-development-philippines-cto-guide
- https://www.pixelmojo.io/blogs/knowledge-graph-llm-visibility-real-data
- https://www.pixelmojo.io/blogs/what-is-an-ai-native-agency-definition-guide
- https://www.pixelmojo.io/blogs/geo-playbook-get-cited-chatgpt-perplexity-claude
- https://www.pixelmojo.io/blogs/google-traffic-dropped-33-percent-ai-search-shift
- https://www.pixelmojo.io/blogs/llms-txt-static-vs-dynamic-implementation-guide
- https://www.pixelmojo.io/blogs/optimized-ai-search-pixelmojo-results
- https://www.pixelmojo.io/blogs/the-definitive-guide-to-growth-marketing-in-the-age-of-ai-strategies-frameworks-and-real-world-dominance
- https://www.pixelmojo.io/blogs/tools-you-didnt-know-your-agency-needed
- https://www.pixelmojo.io/blogs/growth-marketing-vs-traditional-marketing-the-complete-guide
- https://www.pixelmojo.io/blogs/creative-agencies-philippines

**Radar vs Ahrefs Brand Radar** (Brand Radar Alternative, Ahrefs Brand Radar Comparison, Radar Brand Radar Comparison)
Side by side comparison of Pixelmojo Radar and Ahrefs Brand Radar. Live LLM queries vs monthly snapshots, hallucination detection, sentiment scoring, technical AI readiness audits, and pricing breakdown.
41 dedicated articles
Connected to: Radar, AI Visibility Tools, Generative Engine Optimization
Key articles:
- https://www.pixelmojo.io/blogs/before-you-hire-a-geo-agency
- https://www.pixelmojo.io/blogs/what-a-wrong-company-audit-taught-us-about-ai-visibility
- https://www.pixelmojo.io/blogs/we-audited-our-own-ai-architecture
- https://www.pixelmojo.io/blogs/aeo-score-explained-checkers-grades-improvement
- https://www.pixelmojo.io/blogs/decision-stage-ai-visibility
- https://www.pixelmojo.io/blogs/what-does-grok-say-about-your-brand
- https://www.pixelmojo.io/blogs/no-brand-controls-ai-recommendations
- https://www.pixelmojo.io/blogs/ai-visibility-evidence-architecture
- https://www.pixelmojo.io/blogs/a-score-you-can-defend-how-radar-scores-ai-visibility
- https://www.pixelmojo.io/blogs/google-preferred-sources-ai-overviews
- https://www.pixelmojo.io/blogs/ai-referral-traffic-vs-citation-share
- https://www.pixelmojo.io/blogs/google-says-you-dont-need-llms-txt
- https://www.pixelmojo.io/blogs/brand-disambiguation-ai-entity-confusion
- https://www.pixelmojo.io/blogs/reddit-brand-monitor-ai-visibility-tool
- https://www.pixelmojo.io/blogs/youtube-brand-monitor-ai-visibility-tool
- https://www.pixelmojo.io/blogs/radar-fix-prompts-ai-advisor-fix-aeo-score
- https://www.pixelmojo.io/blogs/why-most-websites-fail-aeo-answer-engine-optimization
- https://www.pixelmojo.io/blogs/ai-monitoring-vs-ai-technical-readiness
- https://www.pixelmojo.io/blogs/ai-agency-code-ownership-without-vendor-lock-in
- https://www.pixelmojo.io/blogs/google-information-agents-content-freshness-ai-search
- https://www.pixelmojo.io/blogs/gemini-25-youtube-ai-readable
- https://www.pixelmojo.io/blogs/50-brands-audited-half-invisible-to-ai-search
- https://www.pixelmojo.io/blogs/ai-visibility-score-needs-live-llm-queries
- https://www.pixelmojo.io/blogs/from-free-audit-to-ai-visibility-strategy
- https://www.pixelmojo.io/blogs/radar-ga-freemium-launch
- https://www.pixelmojo.io/blogs/why-radar-beats-running-12-tools-separately
- https://www.pixelmojo.io/blogs/state-of-ai-visibility-2026-benchmarks-60-domain-audits
- https://www.pixelmojo.io/blogs/how-to-track-ai-citations-chatgpt-perplexity-claude-gemini
- https://www.pixelmojo.io/blogs/best-ai-visibility-tools-2026
- https://www.pixelmojo.io/blogs/your-seo-is-fine-your-ai-visibility-isnt
- https://www.pixelmojo.io/blogs/what-is-ai-technical-readiness
- https://www.pixelmojo.io/blogs/ai-visibility-stack-origin-story
- https://www.pixelmojo.io/blogs/50-users-free-ai-visibility-tools-what-they-were-looking-for
- https://www.pixelmojo.io/blogs/radar-v2-technical-audit-to-intelligence-platform
- https://www.pixelmojo.io/blogs/aeo-page-auditor-answer-engine-citation-tester-launch
- https://www.pixelmojo.io/blogs/radar-user-guide-ai-visibility-platform
- https://www.pixelmojo.io/blogs/ai-visibility-stack-seo-geo-llm-monitoring-vector-hive
- https://www.pixelmojo.io/blogs/radar-ai-visibility-platform-run-entire-playbook-60-seconds
- https://www.pixelmojo.io/blogs/why-we-blocked-ai-training-bots-and-citations-went-up
- https://www.pixelmojo.io/blogs/ai-discoverability-stack-get-cited-by-ai-search
- https://www.pixelmojo.io/blogs/free-ai-visibility-tools-complete-guide

**Radar vs Profound** (Profound Alternative, Profound Comparison, Radar Profound Comparison)
How Pixelmojo Radar and Profound fit together as complementary layers of AI visibility. Profound is an enterprise monitoring platform that tracks share of voice across eight AI engines over time; Radar audits and fixes the technical reasons AI cannot read or cite a brand. Covers when to use which and why most teams run Radar first, then monitor.
37 dedicated articles
Connected to: Radar, AI Visibility Tools, Generative Engine Optimization
Key articles:
- https://www.pixelmojo.io/blogs/before-you-hire-a-geo-agency
- https://www.pixelmojo.io/blogs/what-a-wrong-company-audit-taught-us-about-ai-visibility
- https://www.pixelmojo.io/blogs/we-audited-our-own-ai-architecture
- https://www.pixelmojo.io/blogs/aeo-score-explained-checkers-grades-improvement
- https://www.pixelmojo.io/blogs/decision-stage-ai-visibility
- https://www.pixelmojo.io/blogs/what-does-grok-say-about-your-brand
- https://www.pixelmojo.io/blogs/no-brand-controls-ai-recommendations
- https://www.pixelmojo.io/blogs/ai-visibility-evidence-architecture
- https://www.pixelmojo.io/blogs/a-score-you-can-defend-how-radar-scores-ai-visibility
- https://www.pixelmojo.io/blogs/google-preferred-sources-ai-overviews
- https://www.pixelmojo.io/blogs/ai-referral-traffic-vs-citation-share
- https://www.pixelmojo.io/blogs/google-says-you-dont-need-llms-txt
- https://www.pixelmojo.io/blogs/brand-disambiguation-ai-entity-confusion
- https://www.pixelmojo.io/blogs/reddit-brand-monitor-ai-visibility-tool
- https://www.pixelmojo.io/blogs/youtube-brand-monitor-ai-visibility-tool
- https://www.pixelmojo.io/blogs/radar-fix-prompts-ai-advisor-fix-aeo-score
- https://www.pixelmojo.io/blogs/why-most-websites-fail-aeo-answer-engine-optimization
- https://www.pixelmojo.io/blogs/ai-monitoring-vs-ai-technical-readiness
- https://www.pixelmojo.io/blogs/ai-agency-code-ownership-without-vendor-lock-in
- https://www.pixelmojo.io/blogs/gemini-25-youtube-ai-readable
- https://www.pixelmojo.io/blogs/50-brands-audited-half-invisible-to-ai-search
- https://www.pixelmojo.io/blogs/ai-visibility-score-needs-live-llm-queries
- https://www.pixelmojo.io/blogs/from-free-audit-to-ai-visibility-strategy
- https://www.pixelmojo.io/blogs/radar-ga-freemium-launch
- https://www.pixelmojo.io/blogs/why-radar-beats-running-12-tools-separately
- https://www.pixelmojo.io/blogs/state-of-ai-visibility-2026-benchmarks-60-domain-audits
- https://www.pixelmojo.io/blogs/how-to-track-ai-citations-chatgpt-perplexity-claude-gemini
- https://www.pixelmojo.io/blogs/best-ai-visibility-tools-2026
- https://www.pixelmojo.io/blogs/your-seo-is-fine-your-ai-visibility-isnt
- https://www.pixelmojo.io/blogs/what-is-ai-technical-readiness
- https://www.pixelmojo.io/blogs/ai-visibility-stack-origin-story
- https://www.pixelmojo.io/blogs/50-users-free-ai-visibility-tools-what-they-were-looking-for
- https://www.pixelmojo.io/blogs/radar-v2-technical-audit-to-intelligence-platform
- https://www.pixelmojo.io/blogs/aeo-page-auditor-answer-engine-citation-tester-launch
- https://www.pixelmojo.io/blogs/radar-user-guide-ai-visibility-platform
- https://www.pixelmojo.io/blogs/ai-visibility-stack-seo-geo-llm-monitoring-vector-hive
- https://www.pixelmojo.io/blogs/radar-ai-visibility-platform-run-entire-playbook-60-seconds

**Multi-Agent AI Systems** (Multi-Agent Orchestration, Agentic AI)
Architecture patterns for systems where multiple AI agents coordinate, share intelligence, and act autonomously. Covers orchestration, handoffs, and enterprise deployment.
20 dedicated articles
Connected to: Hive, AX Design, AI Product Development
Key articles:
- https://www.pixelmojo.io/blogs/multi-agent-ai-systems-explained-when-one-ai-isnt-enough
- https://www.pixelmojo.io/blogs/multi-agent-ai-platform-buyers-guide-build-vs-buy-comparison
- https://www.pixelmojo.io/blogs/dawn-of-agentic-ai-chatbots-to-coworkers-2026
- https://www.pixelmojo.io/blogs/from-executor-to-orchestrator-legacy-ux-to-ax-design
- https://www.pixelmojo.io/blogs/anthropic-agent-sdk-hooks-typescript-reference
- https://www.pixelmojo.io/blogs/why-radar-beats-running-12-tools-separately
- https://www.pixelmojo.io/blogs/ghost-protocol-thread-based-multi-agent-engineering-ai-coding
- https://www.pixelmojo.io/blogs/how-we-built-multi-channel-ai-sales-agent-one-tbe-session
- https://www.pixelmojo.io/blogs/thread-based-agentic-experience-engineering-tbe-meets-axd
- https://www.pixelmojo.io/blogs/ai-visibility-stack-seo-geo-llm-monitoring-vector-hive
- https://www.pixelmojo.io/blogs/ax-metrics-measuring-agentic-experience-quality-beyond-task-completion
- https://www.pixelmojo.io/blogs/agent-personality-voice-design-how-to-build-ai-coworkers-people-trust
- https://www.pixelmojo.io/blogs/conversation-flow-architecture-designing-multi-turn-agent-interactions
- https://www.pixelmojo.io/blogs/ax-design-trust-patterns-how-users-learn-to-rely-on-ai-coworkers
- https://www.pixelmojo.io/blogs/what-is-ax-design-complete-guide-agentic-experience-2026
- https://www.pixelmojo.io/blogs/ai-product-development-philippines-cto-guide
- https://www.pixelmojo.io/blogs/what-is-an-ai-native-agency-definition-guide
- https://www.pixelmojo.io/blogs/thread-based-engineering-prevents-ai-technical-debt
- https://www.pixelmojo.io/blogs/thread-based-engineering-scaling-ai-development
- https://www.pixelmojo.io/blogs/creative-agencies-philippines

**AI Technical Debt** (Vibe Coding Debt, AI Code Quality Crisis)
The growing crisis of technical debt from AI-generated code: 41% code churn, 86% XSS failure rate, 66% productivity tax. Causes, measurement, and prevention strategies.
12 dedicated articles
Connected to: Thread-Based Engineering, Claude Code Development
Key articles:
- https://www.pixelmojo.io/blogs/vibe-coding-technical-debt-crisis-2026-2027
- https://www.pixelmojo.io/blogs/thread-based-engineering-prevents-ai-technical-debt
- https://www.pixelmojo.io/blogs/claude-code-technical-debt-mitigation-guide
- https://www.pixelmojo.io/blogs/we-audited-our-own-ai-architecture
- https://www.pixelmojo.io/blogs/ghost-protocol-thread-based-multi-agent-engineering-ai-coding
- https://www.pixelmojo.io/blogs/thread-based-agentic-experience-engineering-tbe-meets-axd
- https://www.pixelmojo.io/blogs/ai-product-development-philippines-cto-guide
- https://www.pixelmojo.io/blogs/junior-developer-extinction-ai-technical-debt-human-apprentices
- https://www.pixelmojo.io/blogs/claude-code-hooks-production-quality-ci-cd-patterns
- https://www.pixelmojo.io/blogs/context-engineering-ai-coding-agents-beyond-claude-md
- https://www.pixelmojo.io/blogs/lakbay-ai-case-study-thread-based-engineering-in-production
- https://www.pixelmojo.io/blogs/thread-based-engineering-scaling-ai-development

**Claude Code Development** (Claude Code Workflows, AI-Assisted Development)
Patterns and workflows for production AI-assisted development using Claude Code: hooks, context engineering, CLAUDE.md, CI/CD integration, and technical debt mitigation.
21 dedicated articles
Connected to: Thread-Based Engineering, AI Technical Debt, Anthropic Agent SDK
Key articles:
- https://www.pixelmojo.io/blogs/claude-code-technical-debt-mitigation-guide
- https://www.pixelmojo.io/blogs/claude-code-hooks-production-quality-ci-cd-patterns
- https://www.pixelmojo.io/blogs/context-engineering-ai-coding-agents-beyond-claude-md
- https://www.pixelmojo.io/blogs/what-a-wrong-company-audit-taught-us-about-ai-visibility
- https://www.pixelmojo.io/blogs/we-audited-our-own-ai-architecture
- https://www.pixelmojo.io/blogs/decision-stage-ai-visibility
- https://www.pixelmojo.io/blogs/what-does-grok-say-about-your-brand
- https://www.pixelmojo.io/blogs/ai-referral-traffic-vs-citation-share
- https://www.pixelmojo.io/blogs/reddit-brand-monitor-ai-visibility-tool
- https://www.pixelmojo.io/blogs/youtube-brand-monitor-ai-visibility-tool
- https://www.pixelmojo.io/blogs/radar-fix-prompts-ai-advisor-fix-aeo-score
- https://www.pixelmojo.io/blogs/why-most-websites-fail-aeo-answer-engine-optimization
- https://www.pixelmojo.io/blogs/google-information-agents-content-freshness-ai-search
- https://www.pixelmojo.io/blogs/anthropic-agent-sdk-hooks-typescript-reference
- https://www.pixelmojo.io/blogs/gemini-25-youtube-ai-readable
- https://www.pixelmojo.io/blogs/how-we-built-multi-channel-ai-sales-agent-one-tbe-session
- https://www.pixelmojo.io/blogs/thread-based-agentic-experience-engineering-tbe-meets-axd
- https://www.pixelmojo.io/blogs/llms-txt-static-vs-dynamic-implementation-guide
- https://www.pixelmojo.io/blogs/slopsquatting-ai-supply-chain-attacks-defense-guide
- https://www.pixelmojo.io/blogs/lakbay-ai-case-study-thread-based-engineering-in-production
- https://www.pixelmojo.io/blogs/complete-guide-ai-copilot-stack-multimodal-tools-developer-productivity

**Anthropic Agent SDK** (Claude Agent SDK, Anthropic Claude Agent SDK, Claude Code Hooks SDK)
The programmatic TypeScript surface for building agents on top of Claude. Covers the 12 hook events (PreToolUse, PostToolUse, UserPromptSubmit, Stop, SubagentStop, PreCompact, SessionStart, SessionEnd, Notification, PermissionRequest, SubagentStart, PostToolUseFailure), the HookCallback signature, hookSpecificOutput decisions (allow/deny/ask + updatedInput), and how programmatic hooks compare to declarative Claude Code settings.json hooks.
15 dedicated articles
Connected to: Claude Code Development, Thread-Based Engineering
Key articles:
- https://www.pixelmojo.io/blogs/anthropic-agent-sdk-hooks-typescript-reference
- https://www.pixelmojo.io/blogs/claude-code-hooks-production-quality-ci-cd-patterns
- https://www.pixelmojo.io/blogs/what-a-wrong-company-audit-taught-us-about-ai-visibility
- https://www.pixelmojo.io/blogs/we-audited-our-own-ai-architecture
- https://www.pixelmojo.io/blogs/decision-stage-ai-visibility
- https://www.pixelmojo.io/blogs/what-does-grok-say-about-your-brand
- https://www.pixelmojo.io/blogs/ai-referral-traffic-vs-citation-share
- https://www.pixelmojo.io/blogs/reddit-brand-monitor-ai-visibility-tool
- https://www.pixelmojo.io/blogs/youtube-brand-monitor-ai-visibility-tool
- https://www.pixelmojo.io/blogs/radar-fix-prompts-ai-advisor-fix-aeo-score
- https://www.pixelmojo.io/blogs/why-most-websites-fail-aeo-answer-engine-optimization
- https://www.pixelmojo.io/blogs/google-information-agents-content-freshness-ai-search
- https://www.pixelmojo.io/blogs/gemini-25-youtube-ai-readable
- https://www.pixelmojo.io/blogs/thread-based-agentic-experience-engineering-tbe-meets-axd
- https://www.pixelmojo.io/blogs/claude-code-technical-debt-mitigation-guide

**Design Psychology** (Behavioral Design, Cognitive Design Patterns)
How cognitive biases, aesthetic-usability effects, and behavioral science shape design decisions that drive measurable business outcomes.
8 dedicated articles
Connected to: Brand & Sales Design, AX Design
Key articles:
- https://www.pixelmojo.io/blogs/the-aesthetic-usability-effect-why-good-looking-designs-feel-easier-to-use
- https://www.pixelmojo.io/blogs/why-beautiful-design-fails-to-sell
- https://www.pixelmojo.io/blogs/design-team-hire-computer-scientist
- https://www.pixelmojo.io/blogs/thread-based-agentic-experience-engineering-tbe-meets-axd
- https://www.pixelmojo.io/blogs/ax-metrics-measuring-agentic-experience-quality-beyond-task-completion
- https://www.pixelmojo.io/blogs/agent-personality-voice-design-how-to-build-ai-coworkers-people-trust
- https://www.pixelmojo.io/blogs/ax-design-trust-patterns-how-users-learn-to-rely-on-ai-coworkers
- https://www.pixelmojo.io/blogs/why-your-design-teams-next-hire-should-think-like-a-computer-scientist

**AI Code Ownership** (AI Agency Code Ownership, AI Vendor Lock-In Prevention, Build + Platform + Performance)
Practice of structuring AI agency engagements so the customer owns the application source code, deployment infrastructure, and the right to modify or fork without vendor permission. Defines contract clauses (IP assignment, source code escrow, deployment access, knowledge transfer SLAs) that distinguish ownership engagements from typical lock-in consulting models.
1 dedicated article
Connected to: AI Product Development, Thread-Based Engineering, Vector, Hive, Radar
Key articles:
- https://www.pixelmojo.io/blogs/ai-agency-code-ownership-without-vendor-lock-in

**Growth Marketing** (AI Growth Marketing, Performance Marketing)
Data-driven growth marketing strategies enhanced by AI: consumer behavior analysis, agency transformation, and AI-native marketing systems.
21 dedicated articles
Connected to: Growth Marketing, Generative Engine Optimization
Key articles:
- https://www.pixelmojo.io/blogs/ai-growth-marketing-definitive-guide
- https://www.pixelmojo.io/blogs/growth-marketing-vs-traditional-marketing-the-complete-guide
- https://www.pixelmojo.io/blogs/consumer-behavior-in-marketing-strategies-factors-technology-role-and-research-methods
- https://www.pixelmojo.io/blogs/why-b2b-brands-moving-to-ai-native-agencies
- https://www.pixelmojo.io/blogs/ai-native-design-agency-vs-traditional-agency-complete-guide
- https://www.pixelmojo.io/blogs/budgeting-marketing-design-ai-automation-vs-traditional-agency-fees
- https://www.pixelmojo.io/blogs/before-you-hire-a-geo-agency
- https://www.pixelmojo.io/blogs/ai-monitoring-vs-ai-technical-readiness
- https://www.pixelmojo.io/blogs/gemini-25-youtube-ai-readable
- https://www.pixelmojo.io/blogs/from-free-audit-to-ai-visibility-strategy
- https://www.pixelmojo.io/blogs/radar-ga-freemium-launch
- https://www.pixelmojo.io/blogs/why-radar-beats-running-12-tools-separately
- https://www.pixelmojo.io/blogs/state-of-ai-visibility-2026-benchmarks-60-domain-audits
- https://www.pixelmojo.io/blogs/your-seo-is-fine-your-ai-visibility-isnt
- https://www.pixelmojo.io/blogs/what-is-ai-technical-readiness
- https://www.pixelmojo.io/blogs/50-users-free-ai-visibility-tools-what-they-were-looking-for
- https://www.pixelmojo.io/blogs/ai-visibility-stack-seo-geo-llm-monitoring-vector-hive
- https://www.pixelmojo.io/blogs/ai-product-development-philippines-cto-guide
- https://www.pixelmojo.io/blogs/what-is-an-ai-native-agency-definition-guide
- https://www.pixelmojo.io/blogs/optimized-ai-search-pixelmojo-results
- https://www.pixelmojo.io/blogs/the-definitive-guide-to-growth-marketing-in-the-age-of-ai-strategies-frameworks-and-real-world-dominance

### Production Case Studies

**Lakbay AI**
AI-powered travel concierge for the Philippines. RAG-driven with pgvector embeddings across 18 destinations. Built in 1 day using Thread-Based Engineering (70x timeline compression).
Case study: https://www.pixelmojo.io/projects/lakbay-ai
Built with: Thread-Based Engineering, AI Product Development

**Mojo AI**
AI-powered Figma plugin that transforms single templates into hundreds of on-brand ad variations with AI content generation and design analysis.
Case study: https://www.pixelmojo.io/projects/mojo-ai
Built with: AI Product Development

---

### Full Entity Reference (All 51 Entities with Keywords and Relationships)

#### Thread-Based Engineering
- Type: Methodology
- Description: Productivity and governance framework that treats each AI coding session as a measurable unit of work called a thread. Seven thread types (Base, P, L, C, F, B, Z) with mandatory human checkpoints at boundaries.
- URL: https://www.pixelmojo.io/blogs/thread-based-engineering-scaling-ai-assisted-development
- Also known as: TBE, Thread Engineering
- Keywords: thread-based-engineering, ai-governance, code-quality, thread-types, z-threads
- Related entities: Ghost Protocol (Methodology), AI Technical Debt (TopicCluster), Claude Code Development (TopicCluster), Lakbay AI (Project), AI Product Development (Service), Agentic Experience Engineering (Methodology), AI Code Ownership (TopicCluster)

#### Ghost Protocol
- Type: Methodology
- Description: Multi-agent engineering framework built for GitHub Copilot. Gives Copilot 8 named specialist agents running 9 disciplined execution patterns. Dual routing assigns every task both a specialist (who) and a thread pattern (how). Includes Core Four quality framework, persistent agent memory, and auto-triggered ceremonies. One install command.
- URL: https://www.pixelmojo.io/blogs/ghost-protocol-thread-based-multi-agent-engineering-ai-coding
- Also known as: Ghost Protocol Framework, Multi-Agent Engineering Framework for GitHub Copilot
- Keywords: ghost-protocol, dual-routing, core-four-framework, agent-charters, multi-agent-engineering
- Related entities: Thread-Based Engineering (Methodology), Multi-Agent AI Systems (TopicCluster), AI Technical Debt (TopicCluster), Hive (Product)

#### AX Design
- Type: Methodology
- Description: Design methodology for AI-as-coworker interfaces. Defines capability mapping, protocol stacks, and lifecycle patterns for agentic systems that act autonomously on behalf of users.
- URL: https://www.pixelmojo.io/blogs/what-is-ax-design-complete-guide-agentic-experience-2026
- Also known as: Agentic Experience Design, Agentic UX, AX (Agentic Experience)
- Keywords: agentic-ux-design, agentic-experience, ax-design, ai-coworker
- Related entities: Design Psychology (TopicCluster), Multi-Agent AI Systems (TopicCluster), Hive (Product), Agentic Experience Engineering (Methodology)

#### Agentic Experience Engineering
- Type: Methodology
- Description: Unified framework connecting Thread-Based Engineering (governance) with Agentic Experience Design (trust). Maps thread autonomy levels (B through Z) to supervision patterns (in-the-loop, on-the-loop, out-of-the-loop). Quality gates become trust signals. Thread lifecycles become conversation flows.
- URL: https://www.pixelmojo.io/blogs/thread-based-agentic-experience-engineering-tbe-meets-axd
- Also known as: Thread-Based Agentic Experience Engineering, TBE + AXD, Agentic Product Engineering
- Keywords: agentic-experience-engineering, tbe-axd-framework, supervision-patterns, progressive-autonomy, shadow-to-steer-to-self
- Related entities: Thread-Based Engineering (Methodology), AX Design (Methodology), Hive (Product), Vector (Product), Multi-Agent AI Systems (TopicCluster)

#### Generative Engine Optimization
- Type: Methodology
- Description: Framework for optimizing content to be cited by AI search engines (ChatGPT, Perplexity, Claude). Covers entity authority, structured data, llms.txt, speakable schema, AEO formatting (StatBlocks, KeyTakeaways), and citation patterns across generative engines.
- URL: https://www.pixelmojo.io/blogs/geo-playbook-get-cited-chatgpt-perplexity-claude
- Also known as: GEO, AI Search Optimization
- Keywords: geo, generative-engine-optimization, ai-search, llms-txt, ai-citations, seo-vs-geo, aeo, answer-engine-optimization, speakable-schema, statblock
- Related entities: Radar (Product), Growth Marketing (Service), AI Product Development (Service), AI Visibility Tools (Product)

#### Vector
- Type: Product
- Description: 12-dimension AI lead qualification engine for B2B SaaS. Real-time conversation intelligence with emotional pattern detection, automated routing, and CRM integration.
- URL: https://www.pixelmojo.io/vector
- Also known as: Vector by Pixelmojo, Vector Lead Qualification
- Keywords: lead-qualification, ai-sales-agent, vector, b2b-lead-scoring
- Related entities: Hive (Product), Radar (Product), AI Product Development (Service), Multi-Agent AI Systems (TopicCluster), AI Code Ownership (TopicCluster)

#### Hive
- Type: Product
- Description: Multi-agent orchestration platform where AI co-workers coordinate autonomously, share intelligence, and run operations. Powered by Vector. Enterprise verticals: logistics, insurance, HR, accounting.
- URL: https://www.pixelmojo.io/hive
- Also known as: Hive by Pixelmojo, Hive AI Co-workers
- Keywords: multi-agent-platform, ai-coworkers, hive, agent-orchestration
- Related entities: Vector (Product), Radar (Product), Multi-Agent AI Systems (TopicCluster), AX Design (Methodology), AI Product Development (Service), AI Code Ownership (TopicCluster)

#### Radar
- Type: Product
- Description: Radar measures answer-stage AI visibility — whether ChatGPT, Claude, Gemini, and Perplexity mention and cite your brand, with exactly what to fix — and is built toward decision-stage measurement: whether AI recommends you when buyers ask which option to choose (win-rate scoring is on the roadmap, not part of the current live score). Radar backs every score with a methodology you can defend: deterministic technical checks, live measurement across four engines, and stable judgment for the nuanced calls. It also surfaces the hallucinations and misattributions buyers see in production AI answers. Radar is complementary to AI monitoring platforms such as Profound, Ahrefs Brand Radar, and Otterly: monitoring tracks visibility trends, while Radar diagnoses and fixes the technical reasons AI cannot read or cite a brand correctly. Built for digital agencies whose clients ask "are we in ChatGPT?", B2B SaaS marketing teams losing organic traffic to AI search, and enterprise brand teams worried about uncontrolled AI descriptions. 13 tools run in parallel inside Radar (plus standalone YouTube Brand Monitor and AI Open Graph Auditor at /tools/*). Free tier (6 tools, technical readiness layer): AI bot crawl check, robots.txt analyzer, llms.txt validator, schema markup audit, AEO page auditor, AI Readiness score. Paid tier (7 more tools, LLM-powered layer): citation tracker across ChatGPT/Claude/Gemini/Perplexity, Reddit brand monitor, hallucination detection with severity scoring, prompt SOV vs competitors, source influence map, answer engine per-page citation testing, brand disambiguation check (detects when AI engines link your brand name to the wrong entity). Pricing: two free entry points, individual web tools at /tools (each gated by email + 6-digit OTP, 1 audit per (email, tool), 24h credit, free) and the full /platform free check (verify your email and domain, preview all 13 tools with the 6 technical readiness tools scored and the 7 AI-response tools locked, then unlock the full audit for $5, credits never expire, to reveal every finding and fix prompt plus dashboard access). Paid: audit packs from $5 single / $12 Starter Pack / $40 Power Pack, Pro Retainer $199/mo for 40 audits with weekly pulse re-scans on watched domains. Generates cross-tool insights with A-F grade scoring, LLM-based sentiment analysis, per-provider narrative summaries, locale/geography targeting, trend tracking, and prioritized action items. Action-first dashboard: top 3 priority fixes shown as hero above metrics. LLM Answer Diff (Pro): side-by-side comparison of how AI models describe your brand between scans, with citation flip detection, sentiment shift hierarchy, and competitor displacement tracking. DIY implementation features: AI prompt generator per action item (copy into Claude/ChatGPT/Cursor), 6 implementation threads (Crawlability, Structured Data, LLM Communication, Content Authority, AI Answer Optimization, Citation Visibility), llms.txt starter generator, JSON-LD schema markup generator, single-tool re-verify, and persistent progress tracking. Self-audited weekly at /labs/our-radar-report, methodology applied to Pixelmojo itself with findings published verbatim. A complete de-identified client audit is published in full at /platform/sample-report, showing the actual deliverable end to end.
- Disambiguation: Radar by Pixelmojo is a software platform for AI search visibility auditing (GEO, AEO, and LLM citation analysis). It is not a hardware, weather, marine, aviation, or sensor radar system, and is unrelated to Cambridge Pixel RadarVision, MyRadar, or any physical radar product. Created by Lloyd Pilapil, founder of Pixelmojo.
- URL: https://www.pixelmojo.io/platform
- Also known as: Radar by Pixelmojo, Decision-stage AI visibility, AI Visibility Platform, AI Visibility DIY Platform
- Keywords: radar, ai-visibility-platform, ai-visibility-audit, decision-stage-ai-visibility, ai-decision-win-rate, ai-recommendation-optimization, answer-layer-vs-decision-layer, score-you-can-defend, decision-readiness-audit, ai-visibility-score, ai-technical-readiness, crawl-integrity-score, llm-infrastructure-audit, ai-readiness-score, methodology, seo-audit-tool, geo-audit, llm-visibility, dashboard-preview, tool-grades, implementation-threads, ai-prompt-generator, diy-ai-visibility, thread-based-engineering, llm-answer-diff, citation-flip, sentiment-shift, before-after-ai-audit, competitor-displacement, win-log, shareable-report, multi-domain-dashboard, agency-dashboard, ai-hallucination-tracking, ai-brand-accuracy, ai-citation-accuracy, agency-ai-visibility-tool, b2b-saas-ai-search, enterprise-brand-monitoring, watched-domain-monitoring, weekly-pulse-rescan, ai-answer-correction, ai-misattribution
- Related entities: AI Visibility Tools (Product), Generative Engine Optimization (Methodology), Vector (Product), Hive (Product), AI Code Ownership (TopicCluster), llms.txt Generator (Product), AI Crawl Checker (Product), AI Citation Tracker (Product), Reddit Brand Monitor (Product), YouTube Brand Monitor (Product), llms.txt Validator (Product), AI Readiness Score (Product), robots.txt Analyzer for AI (Product), AEO Page Auditor (Product), Answer Engine Citation Tester (Product), Source Influence Map (Product), Prompt SOV Score (Product), Schema Completeness Audit (Product), Hallucination Detection (Product), Brand Disambiguation Check (Product), AI Open Graph Auditor (Product), Site Freshness Auditor (Product), AI Visibility Benchmarks by Industry (Anonymized) (Product), Radar AI Readiness Badge (Product), Radar Chrome Extension (Product), Radar Brand Index (Product), Pixelmojo Self-Audit (Product), Sample Radar Report (Product)

#### Pixelmojo Brand System
- Type: TopicCluster
- Description: The identity system that ties Radar, Vector, and Hive into one family. Not a logo but a rule for making logos: one geometric grammar (a 64-unit four-cell grid) generates every product mark, with pink #F90B8A reserved for the product's verb and a counter-shape answering it. Covers construction, clearspace, color, typography (Space Grotesk, Geist Sans, Geist Mono), lockups, misuse, and voice.
- URL: https://www.pixelmojo.io/brand
- Also known as: One grid, three verbs, Pixelmojo brand guidelines, Pixelmojo product family identity
- Keywords: brand-system, brand-guidelines, design-system, product-family-identity, one-grid-three-verbs, logo-grammar, visual-identity
- Related entities: Radar (Product), Vector (Product), Hive (Product), Brand & Sales Design (Service)

#### AI Product Development
- Type: Service
- Description: End-to-end AI product development: from architecture to deployment. LLM integration, RAG systems, multi-agent orchestration, and production AI infrastructure.
- URL: https://www.pixelmojo.io/services/ai-product-development
- Keywords: ai-product-development, llm-integration, rag-systems
- Related entities: Thread-Based Engineering (Methodology), Vector (Product), Hive (Product), Multi-Agent AI Systems (TopicCluster), AI Code Ownership (TopicCluster)

#### Growth Marketing
- Type: Service
- Description: Marketing ops for B2B SaaS: content, lead scoring, email automation, and analytics. Pipeline generation without scaling headcount.
- URL: https://www.pixelmojo.io/services/ai-powered-growth
- Keywords: growth-marketing, pipeline-generation, lead-scoring, content-marketing, b2b-marketing
- Related entities: Generative Engine Optimization (Methodology), Growth Marketing (TopicCluster)

#### Brand & Sales Design
- Type: Service
- Description: Brand identity, design systems, pitch decks, and sales collateral shipped as one cohesive system for SaaS teams.
- URL: https://www.pixelmojo.io/services/revenue-first-design
- Keywords: brand-identity, design-systems, pitch-decks, sales-collateral, conversion-design
- Related entities: Design Psychology (TopicCluster), Pixelmojo Brand System (TopicCluster)

#### AI Visibility Strategy
- Type: Service
- Description: Done-for-you GEO, AEO, and LLM optimization service. Pixelmojo audits, fixes, or rebuilds your site to get cited across ChatGPT, Claude, Perplexity, and Gemini, powered by Radar. Choose a 6-week Visibility Sprint to optimize an existing site, or a full AI-native rebuild scoped per project.
- URL: https://www.pixelmojo.io/services/ai-visibility-strategy
- Also known as: GEO Consulting, AEO Optimization Service
- Keywords: ai-visibility-strategy, geo-consulting, aeo-optimization, llm-optimization, ai-search-optimization, ai-citation-strategy
- Related entities: Generative Engine Optimization (Methodology), Radar (Product), Vector (Product), Hive (Product), AI Visibility Tools (Product), Growth Marketing (Service), Best AI Visibility Agencies (TopicCluster)

#### Best AI Visibility Agencies
- Type: TopicCluster
- Description: Comparison guide of agencies that help brands get cited by AI search engines through GEO, AEO, structured data, and entity authority building. Covers Pixelmojo, WebFX, Seer Interactive, iPullRank, NoGood, Siege Media, and Directive Consulting.
- URL: https://www.pixelmojo.io/best-ai-visibility-agencies
- Also known as: Best GEO Agencies, Best AEO Agencies, AI Visibility Agency Comparison
- Keywords: best-ai-visibility-agencies, best-geo-agencies, best-aeo-agencies, ai-visibility-agency, geo-agency, ai-search-optimization-agency
- Related entities: Generative Engine Optimization (Methodology), AI Visibility Strategy (Service), AI Visibility Tools (Product), Radar (Product)

#### Radar vs Ahrefs Brand Radar
- Type: TopicCluster
- Description: Side by side comparison of Pixelmojo Radar and Ahrefs Brand Radar. Live LLM queries vs monthly snapshots, hallucination detection, sentiment scoring, technical AI readiness audits, and pricing breakdown.
- URL: https://www.pixelmojo.io/vs/brand-radar
- Also known as: Brand Radar Alternative, Ahrefs Brand Radar Comparison, Radar Brand Radar Comparison
- Keywords: ahrefs-brand-radar-alternative, brand-radar-vs-radar, ai-visibility-tool-comparison, cheaper-ahrefs-alternative, agency-ai-visibility-software, live-llm-tracking
- Related entities: Radar (Product), AI Visibility Tools (Product), Generative Engine Optimization (Methodology)

#### Radar vs Profound
- Type: TopicCluster
- Description: How Pixelmojo Radar and Profound fit together as complementary layers of AI visibility. Profound is an enterprise monitoring platform that tracks share of voice across eight AI engines over time; Radar audits and fixes the technical reasons AI cannot read or cite a brand. Covers when to use which and why most teams run Radar first, then monitor.
- URL: https://www.pixelmojo.io/vs/profound
- Also known as: Profound Alternative, Profound Comparison, Radar Profound Comparison
- Keywords: profound-alternative, radar-vs-profound, profound-vs-radar, enterprise-ai-visibility-monitoring, ai-technical-readiness-vs-monitoring, profound-comparison
- Related entities: Radar (Product), AI Visibility Tools (Product), Generative Engine Optimization (Methodology)

#### AI Visibility Tools
- Type: Product
- Description: Thirteen audits run in parallel inside the Radar dashboard at /platform/app (AI Crawl Checker, AI Citation Tracker, Reddit Brand Monitor, llms.txt Validator, AI Readiness Score, robots.txt Analyzer, AEO Page Auditor, Answer Engine Citation Tester, Source Influence Map, Prompt SOV Score, Schema Completeness Audit, Hallucination Detection, Brand Disambiguation Check) plus standalone YouTube Brand Monitor, AI Open Graph Auditor, and Site Freshness Auditor. Ten of these audits are exposed as free single-use /tools/* pages with email + OTP verification, and two more (AEO Page Auditor and AI Citation Tracker) are paid-first /tools/* pages that preview the audit and open a $5 audit that runs inside the dashboard. Two additional /tools/* utilities ship beside them: Domain Comparison and the Embeddable Pixelmojo Badge. These tools form the AI Technical Readiness layer, which is complementary to AI monitoring platforms such as Profound and Ahrefs Brand Radar: monitoring tracks visibility trends over time, while Radar diagnoses and fixes the technical reasons AI cannot read or cite a brand correctly. This readiness layer feeds the decision-stage measurement Radar is building toward (a roadmap capability, not part of the current live score): the goal is not just being cited in AI answers but winning the recommendation.
- URL: https://www.pixelmojo.io/tools
- Also known as: Free AI SEO Tools, AI Optimization Tools
- Keywords: ai-visibility, geo-tools, ai-seo-tools, free-tools
- Related entities: Generative Engine Optimization (Methodology), Growth Marketing (Service), Radar (Product), Radar vs Ahrefs Brand Radar (TopicCluster), Radar vs Profound (TopicCluster), llms.txt Generator (Product), AI Crawl Checker (Product), AI Citation Tracker (Product), Reddit Brand Monitor (Product), YouTube Brand Monitor (Product), llms.txt Validator (Product), AI Readiness Score (Product), Free AI Visibility Checker (Product), robots.txt Analyzer for AI (Product), AEO Page Auditor (Product), Answer Engine Citation Tester (Product), Domain Comparison (Head-to-Head) (Product), Source Influence Map (Product), Prompt SOV Score (Product), Schema Completeness Audit (Product), Hallucination Detection (Product), Brand Disambiguation Check (Product), AI Open Graph Auditor (Product), Site Freshness Auditor (Product), AI Visibility Benchmarks by Industry (Anonymized) (Product), Radar AI Readiness Badge (Product), Radar Chrome Extension (Product), Radar Brand Index (Product), Pixelmojo Self-Audit (Product), Sample Radar Report (Product)

#### AI Crawl Checker
- Type: Product
- Description: Free tool to test how visible your website is to AI search engines. Checks bot access policies, structured data, llms.txt, and content quality across 14 AI bots including GPTBot, ClaudeBot, and PerplexityBot.
- URL: https://www.pixelmojo.io/tools/ai-crawl-checker
- Also known as: AI Bot Checker, AI Crawl Audit
- Keywords: ai-crawl-checker, bot-access, robots-txt, gptbot, claudebot, perplexitybot, crawl-audit
- Related entities: AI Visibility Tools (Product), Generative Engine Optimization (Methodology)

#### AI Citation Tracker
- Type: Product
- Description: Paid-first tool ($5 per audit) to check whether ChatGPT, Perplexity, Claude, Gemini, and Grok (report-only) mention or cite your brand. Tests brand recognition, competitive visibility, URL citations, and sentiment. The public page previews the audit and opens checkout; the run happens inside the Radar dashboard.
- URL: https://www.pixelmojo.io/tools/ai-citation-tracker
- Also known as: AI Brand Mention Checker, LLM Citation Checker
- Keywords: ai-citation-tracker, citation-tracking, brand-mentions, chatgpt-citations, perplexity-citations, llm-visibility
- Related entities: AI Visibility Tools (Product), Generative Engine Optimization (Methodology)

#### Reddit Brand Monitor
- Type: Product
- Description: Free tool to find what people say about your brand on Reddit. Discovers real posts via Google search, detects AI-generated promotional content, and analyzes sentiment.
- URL: https://www.pixelmojo.io/tools/reddit-brand-monitor
- Also known as: Reddit LLM Seeding Detector, Reddit Mention Tracker
- Keywords: reddit-brand-monitor, llm-seeding, reddit-mentions, astroturfing-detection, brand-monitoring
- Related entities: AI Visibility Tools (Product), Generative Engine Optimization (Methodology)

#### YouTube Brand Monitor
- Type: Product
- Description: Tracks brand mentions across YouTube videos. Scores five dimensions on a 100-point scale (volume, channel diversity, reach, sentiment, recency). Sentiment is transcript-grounded for the top five videos by views, a GPT-4o-mini pass over the actual spoken content catches sarcasm and late-video reversals that title-only analysis misses. Concentrated negative coverage (two or more negative videos from a single channel) is flagged as an actionable recommendation. Live YouTube Data API queries and live transcript fetches on every audit, no cached snapshots.
- URL: https://www.pixelmojo.io/tools/youtube-brand-monitor
- Also known as: YouTube Mention Tracker, YouTube Visibility Auditor, YouTube Coverage Checker
- Keywords: youtube-brand-monitor, youtube-mentions, video-brand-tracking, creator-coverage, brand-monitoring, gemini-25, video-citations, youtube-ai-visibility, youtube-transcripts, transcript-sentiment, concentrated-negative-coverage, layer-2-audit
- Related entities: AI Visibility Tools (Product), Reddit Brand Monitor (Product), Generative Engine Optimization (Methodology)

#### llms.txt Validator
- Type: Product
- Description: Free tool to validate your llms.txt file against the emerging llmstxt.org specification. Analyzes structure, content sections, links, entity definitions, and use policy.
- URL: https://www.pixelmojo.io/tools/llms-txt-validator
- Also known as: llms.txt Checker, llms.txt Audit Tool
- Keywords: llms-txt-validator, llms-txt, llmstxt, ai-discovery, llms-full-txt
- Related entities: AI Visibility Tools (Product), Generative Engine Optimization (Methodology)

#### AI Readiness Score
- Type: Product
- Description: Free tool that combines crawl access, structured data, llms.txt quality, content accessibility, and cross-signal readiness into a single unified 0-100 AI readiness score.
- URL: https://www.pixelmojo.io/tools/ai-readiness-score
- Also known as: AI Readiness Checker, AI Readiness Audit
- Keywords: ai-readiness-score, ai-readiness, ai-audit, unified-score, readiness-assessment
- Related entities: AI Visibility Tools (Product), Generative Engine Optimization (Methodology)

#### Free AI Visibility Checker
- Type: Product
- Description: Free landing-page entry point to the AI Readiness Score. Tests whether ChatGPT, Claude, Perplexity, and Gemini can find, understand, and cite a brand, returning a 0-100 AI visibility score. Runs the AI Readiness Score engine rather than a separate scoring system.
- URL: https://www.pixelmojo.io/tools/free-ai-visibility-checker
- Also known as: AI Visibility Tool, AI Search Visibility Checker, LLM Visibility Checker
- Keywords: free-ai-visibility-checker, ai-visibility-tool, ai-search-visibility-checker, llm-visibility-checker, ai-visibility-check
- Related entities: AI Visibility Tools (Product), AI Readiness Score (Product), Generative Engine Optimization (Methodology)

#### robots.txt Analyzer for AI
- Type: Product
- Description: Free tool to audit your robots.txt specifically for AI bot directives. Analyzes 16 bots across search, AI browse, AI train, and SEO categories with syntax validation and suggested improvements.
- URL: https://www.pixelmojo.io/tools/robots-txt-analyzer
- Also known as: AI robots.txt Checker, robots.txt Audit Tool
- Keywords: robots-txt-analyzer, robots-txt, ai-bot-directives, gptbot, claudebot, perplexitybot, bot-rules
- Related entities: AI Visibility Tools (Product), Generative Engine Optimization (Methodology)

#### AEO Page Auditor
- Type: Product
- Description: Paid-first tool ($5 per audit) to score any web page for answer engine readiness. Analyzes speakable schema, answer-first content structure, structured data quality, data extractability, content freshness, and entity authority across 6 weighted categories. The public page previews the audit and opens checkout; the run happens inside the Radar dashboard.
- URL: https://www.pixelmojo.io/tools/aeo-page-auditor
- Also known as: AEO Audit Tool, Answer Engine Page Scanner
- Keywords: aeo-page-auditor, aeo-audit, speakable-schema, answer-engine-optimization, page-level-aeo, structured-data-quality
- Related entities: AI Visibility Tools (Product), Generative Engine Optimization (Methodology)

#### Answer Engine Citation Tester
- Type: Product
- Description: Free tool to test if ChatGPT, Perplexity, Claude, Gemini, and Grok (report-only) cite or mention a specific page for a specific question. Identifies content alignment gaps and competitor pages being cited instead.
- URL: https://www.pixelmojo.io/tools/answer-engine-tester
- Also known as: Citation Tester, AI Page Citation Checker
- Keywords: answer-engine-tester, page-citation, citation-testing, aeo-citation, ai-citation-checker, content-alignment
- Related entities: AI Visibility Tools (Product), Generative Engine Optimization (Methodology), AI Citation Tracker (Product)

#### Domain Comparison (Head-to-Head)
- Type: Product
- Description: Free head-to-head AI visibility comparison that audits two domains side-by-side across 5 free tools (crawl, robots.txt, llms.txt, readiness, schema). Produces a shareable scorecard URL with winner callout, per-tool breakdown, and embeddable SVG badge. Used for competitive intelligence, sales decks, and builder-in-public share-outs.
- URL: https://www.pixelmojo.io/tools/compare
- Also known as: AI Visibility Comparison, Domain vs Domain Audit, Competitor AI Audit
- Keywords: domain-comparison, ai-visibility-comparison, head-to-head-audit, competitor-audit, side-by-side-scorecard, shareable-audit
- Related entities: AI Visibility Tools (Product), Radar (Product), AI Readiness Score (Product), AEO Page Auditor (Product)

#### llms.txt Generator
- Type: Product
- Description: Free, deterministic llms.txt generator. Reads the page title, meta description, Organization schema, products, and navigation, then assembles a structured llms.txt shaped to the standard Pixelmojo uses on its own site. No login, no LLM guesswork, no storage. Pairs with the llms.txt Validator and the Radar AI visibility platform.
- URL: https://www.pixelmojo.io/tools/llms-txt-generator
- Also known as: Free llms.txt Generator, llms.txt Builder, llms.txt Maker
- Keywords: llms-txt-generator, llms-txt, generate-llms-txt, llms-txt-builder, free-llms-txt-tool, ai-visibility-tools
- Related entities: AI Visibility Tools (Product), Radar (Product), Generative Engine Optimization (Methodology)

#### AI Open Graph Auditor
- Type: Product
- Description: Free audit of Open Graph and Twitter Card metadata for AI shareability and citation discoverability. Checks og:title, og:description, og:image quality, twitter:card type, share image reachability (HTTPS + 5MB ceiling), canonical alignment with og:url, and JSON-LD coverage. Scores across 5 categories with grade A-F and prioritized fixes. Built for marketing teams shipping content that needs to render correctly in Slack, Discord, X, iMessage, and AI assistant share previews.
- URL: https://www.pixelmojo.io/tools/open-graph-auditor
- Also known as: OG Tag Auditor, Open Graph Checker, Social Card Auditor, Twitter Card Auditor
- Keywords: open-graph, og-tags, opengraph-protocol, twitter-cards, social-cards, share-previews, ai-shareability, meta-tags, citation-discoverability
- Related entities: AI Visibility Tools (Product), Radar (Product), AEO Page Auditor (Product), AI Crawl Checker (Product), Generative Engine Optimization (Methodology)

#### Site Freshness Auditor
- Type: Product
- Description: Free site-wide audit of the five freshness signals AI search agents use when deciding what to monitor: sitemap lastmod tag distribution, RSS or Atom feed availability and recency, blog publishing cadence over the last 30/60/90 days, Article schema dateModified coverage across sampled URLs, and visible date stamps in rendered HTML. Built for the Information-Agent era of Google Search announced at I/O 2026 where continuous monitoring weights freshness signals heavily and stale sites get silently deprioritized.
- URL: https://www.pixelmojo.io/tools/site-freshness-auditor
- Also known as: Content Freshness Score, AI Agent Monitoring Readiness Audit, Sitemap Freshness Checker
- Keywords: content-freshness, sitemap-lastmod, rss-feeds, publishing-cadence, date-modified, article-schema, google-information-agents, ai-monitoring, agentic-search
- Related entities: AI Visibility Tools (Product), Radar (Product), AEO Page Auditor (Product), AI Open Graph Auditor (Product), Generative Engine Optimization (Methodology)

#### Radar Chrome Extension
- Type: Product
- Description: Free Chrome browser extension that runs a 6-tool AI readiness audit on the active tab. Click the icon on any site and get an instant check of crawl access, robots.txt, llms.txt, AI readiness, schema markup, and AEO structure. One-click experience, no email modal, no per-tool verification, authenticated via a build-time extension secret. Available on the Chrome Web Store as part of the Radar product surface.
- URL: https://chromewebstore.google.com/detail/adndfdfjigmkpfljkmoalppljogeiihf
- Also known as: Radar by Pixelmojo (Chrome), AI Visibility Chrome Extension, One-Click AI Audit Browser Extension
- Keywords: chrome-extension, radar-chrome, browser-extension, ai-visibility-chrome, one-click-audit, chrome-web-store, browser-audit-tool
- Related entities: Radar (Product), AI Visibility Tools (Product), AI Readiness Score (Product), AI Crawl Checker (Product), AEO Page Auditor (Product)

#### Radar AI Readiness Badge
- Type: Product
- Description: Free embeddable SVG badge that shows a domain’s AI Readiness score. shields.io-style pill format auto-updates when the underlying audit is re-run, designed for GitHub READMEs, docs sites, trust pages, blog posts, and email signatures. Every embed functions as a passive backlink and brand impression, creating a compounding discovery loop for the Radar platform.
- URL: https://www.pixelmojo.io/tools/badge
- Also known as: AI Readiness Badge, Radar Scorecard Badge, Embeddable AI Visibility Badge
- Keywords: ai-readiness-badge, embeddable-scorecard, ai-visibility-badge, github-readme-badge, shields-io-style-badge, backlink-badge, trust-signal-badge
- Related entities: AI Visibility Tools (Product), Radar (Product), AI Readiness Score (Product), Domain Comparison (Head-to-Head) (Product)

#### Source Influence Map
- Type: Product
- Description: Radar tool that identifies the top URLs and domains AI models reference when discussing a brand or category. Shows which sources are shaping AI narratives, providing an editorial hit list for content strategy.
- URL: https://www.pixelmojo.io/platform
- Also known as: Source Map, AI Source Tracker
- Keywords: source-influence, ai-source-tracking, editorial-strategy, citation-sources
- Related entities: AI Visibility Tools (Product), Generative Engine Optimization (Methodology), Radar (Product)

#### Prompt SOV Score
- Type: Product
- Description: Radar tool that measures brand share of voice in AI-generated recommendations. Runs industry prompts across ChatGPT, Claude, Perplexity, and Gemini to calculate position-weighted competitive rankings.
- URL: https://www.pixelmojo.io/platform
- Also known as: Share of Voice Score, AI SOV Tracker
- Keywords: share-of-voice, ai-sov, competitive-ranking, brand-visibility, prompt-sov
- Related entities: AI Visibility Tools (Product), Generative Engine Optimization (Methodology), Radar (Product), AI Citation Tracker (Product)

#### Schema Completeness Audit
- Type: Product
- Description: Radar tool that validates JSON-LD structured data across 10 Schema.org types: Organization, Article, FAQ, HowTo, Speakable, BreadcrumbList, Product, LocalBusiness, WebSite, and SoftwareApplication. Checks field completeness, speakable schema presence, and coverage across multiple pages.
- URL: https://www.pixelmojo.io/platform
- Also known as: Schema Audit, JSON-LD Validator
- Keywords: schema-audit, json-ld-validation, structured-data-audit, speakable-schema
- Related entities: AI Visibility Tools (Product), Generative Engine Optimization (Methodology), Radar (Product)

#### Hallucination Detection
- Type: Product
- Description: Radar tool that detects factual inaccuracies in AI-generated claims about a brand. Extracts ground truth from the brand website, queries AI providers, and compares for wrong pricing, products, founding year, or descriptions. Flags inaccuracies by severity.
- URL: https://www.pixelmojo.io/platform
- Also known as: AI Hallucination Checker, Brand Accuracy Checker
- Keywords: hallucination-detection, ai-accuracy, brand-safety, fact-checking, ai-hallucination
- Related entities: AI Visibility Tools (Product), Generative Engine Optimization (Methodology), Radar (Product), AI Citation Tracker (Product)

#### Brand Disambiguation Check
- Type: Product
- Description: Paid-exclusive Radar tool that checks whether AI engines link your brand to the correct real-world entity or confuse it with a same-named company, person, or product. Extracts ground truth from your site and llms.txt, queries ChatGPT, Claude, Gemini, and Perplexity, and flags named-entity-disambiguation failures by severity. Runs inside the Radar dashboard for paid users, with a public explainer (labeled example, no free run) at /tools/brand-disambiguation.
- URL: https://www.pixelmojo.io/tools/brand-disambiguation
- Also known as: AI Entity Linking Checker, Entity Collision Check
- Keywords: brand-disambiguation, entity-linking, named-entity-disambiguation, ai-brand-identity, same-name-confusion
- Related entities: AI Visibility Tools (Product), Generative Engine Optimization (Methodology), Radar (Product), Hallucination Detection (Product)

#### AI Visibility Benchmarks by Industry (Anonymized)
- Type: Product
- Description: Anonymized score distributions by industry, auto-refreshed hourly via Next.js ISR (stale-while-revalidate) from real Radar platform audits. Public pages show only rank, industry, score, and grade. The page distinguishes raw audited domains (every domain that has run a Radar audit) from surfaced domains (those in industries meeting the 3-domain threshold). Recently-audited domains in micro-categories sit invisible until peers join them. Domain and brand identifiers are never fetched or rendered. Users benchmark where their domain would rank against industry peers without exposing any site identity, same approach as Glassdoor salary bands.
- URL: https://www.pixelmojo.io/labs/leaderboards
- Also known as: AI Readiness Benchmarks, Industry AI Visibility Distribution, Anonymized AI Search Benchmarks
- Keywords: ai-visibility-benchmarks, ai-readiness-distribution, industry-benchmarks, anonymized-rankings, score-distribution, peer-comparison
- Related entities: Radar (Product), AI Readiness Score (Product), AI Visibility Tools (Product), Generative Engine Optimization (Methodology)

#### Radar Brand Index
- Type: Product
- Description: Curated public reference index of 50 named brands across SaaS, E-commerce, Fintech, Healthcare, and Media. Each brand is audited weekly with Radar's 13-tool methodology, producing a live AI Readiness Score (0-100) and grade (A-F). Methodology is fully published on /platform/methodology, weights, dimensions, and live LLM query mechanics are all transparent. Brands behind hard paywalls or aggressive anti-bot defenses are explicitly flagged as "Audit Blocked" rather than scored zero, distinguishing structurally-invisible sites from poorly-optimized ones. Free, anonymous, no signup. The index is part of Radar (same engine, same methodology) surfaced as a Pixelmojo Labs research surface rather than inside the paid /platform dashboard.
- URL: https://www.pixelmojo.io/labs/brand-index
- Also known as: Pixelmojo Brand Index, Transparent AI Visibility Reference Index, AI Visibility Brand Index, Live Brand AI Readiness Index
- Keywords: brand-index, ai-visibility-reference, curated-brand-benchmark, live-brand-audits, transparent-methodology, category-leaderboards, audit-blocked-paywall, brand-ai-readiness-score, public-brand-index, weekly-brand-audit
- Related entities: Radar (Product), AI Readiness Score (Product), AI Visibility Benchmarks by Industry (Anonymized) (Product), AI Visibility Tools (Product), AEO Page Auditor (Product), Generative Engine Optimization (Methodology), Pixelmojo Self-Audit (Product)

#### Pixelmojo Self-Audit
- Type: Product
- Description: Pixelmojo's own AI visibility scorecard, generated by Radar against pixelmojo.io and published verbatim every week. Same 13-tool methodology applied to ourselves: overall unified score and grade, per-tool breakdown, per-LLM citation coverage with mention rates, share-of-voice rank within the audited category, and any hallucination flags surfaced by the audit (verbatim quotes of what AI providers tell users vs. what is actually true). Server-side ISR every 6 hours; new content lands when the weekly Radar cron writes a new radar_audit_runs row for pixelmojo.io. Acts as a transparent dogfood proof for Radar customers: if our score drops, the page reflects that; if new hallucinations surface, they appear with the offending AI provider named.
- URL: https://www.pixelmojo.io/labs/our-radar-report
- Also known as: Our Radar Report, Pixelmojo AI Visibility Self-Audit, Radar Dogfood Report
- Keywords: pixelmojo-self-audit, radar-dogfood, our-radar-report, pixelmojo-ai-visibility, transparent-self-audit, radar-self-audit, live-self-audit
- Related entities: Radar (Product), Radar Brand Index (Product), AI Readiness Score (Product), AI Visibility Tools (Product), AEO Page Auditor (Product)

#### Sample Radar Report
- Type: Product
- Description: A complete 13-tool Radar AI visibility audit published in full, exactly as the client received it, with the client de-identified. The subject is a boutique travel agency that scored 33 out of 100 (grade D). Contains the executive summary, all 13 tool scores with grades, a per-engine breakdown of what ChatGPT, Claude, Perplexity, Gemini, and Grok returned when asked about the company, query coverage by type, a competitive AI share-of-voice benchmark, content citation analysis, five key findings each with evidence and implication, an eight-item prioritized fix list with impact/effort/priority, and a re-measurement plan. Headline findings: three of four engines described a different same-named business (Brand Disambiguation scored 20), structured data and llms.txt both scored 0, and the company appeared 0 times across 8 competitive buying-stage queries at rank 119 of 118 brands found. Answers "what does a Radar report actually contain?" without a signup or purchase.
- Disambiguation: A fixed historical client deliverable, de-identified. Distinct from /labs/our-radar-report (live weekly self-audit of pixelmojo.io) and /labs/brand-index (50 named brands audited publicly).
- URL: https://www.pixelmojo.io/platform/sample-report
- Also known as: Sample AI Visibility Report, Example Radar Audit, De-Identified Radar Client Audit
- Keywords: radar-sample-report, sample-ai-visibility-report, example-radar-audit, ai-visibility-report-example, what-is-in-a-radar-report, ai-audit-deliverable, de-identified-client-audit
- Related entities: Radar (Product), Pixelmojo Self-Audit (Product), Radar Brand Index (Product), AI Readiness Score (Product), Brand Disambiguation Check (Product)

#### Lakbay AI
- Type: Project
- Description: AI-powered travel concierge for the Philippines. RAG-driven with pgvector embeddings across 18 destinations. Built in 1 day using Thread-Based Engineering (70x timeline compression).
- URL: https://www.pixelmojo.io/projects/lakbay-ai
- Also known as: Lakbay AI Travel Concierge
- Keywords: lakbay-ai, ai-travel, rag-travel-concierge
- Related entities: Thread-Based Engineering (Methodology), AI Product Development (Service)

#### Mojo AI
- Type: Project
- Description: AI-powered Figma plugin that transforms single templates into hundreds of on-brand ad variations with AI content generation and design analysis.
- URL: https://www.pixelmojo.io/projects/mojo-ai
- Also known as: Mojo AI Figma Plugin
- Keywords: mojo-ai, figma-plugin, ai-creative-automation
- Related entities: AI Product Development (Service)

#### Multi-Agent AI Systems
- Type: TopicCluster
- Description: Architecture patterns for systems where multiple AI agents coordinate, share intelligence, and act autonomously. Covers orchestration, handoffs, and enterprise deployment.
- URL: https://www.pixelmojo.io/blogs/multi-agent-ai-systems-explained-when-one-ai-isnt-enough
- Also known as: Multi-Agent Orchestration, Agentic AI
- Keywords: multi-agent, agentic-ai, agent-orchestration, ai-coworkers
- Related entities: Hive (Product), AX Design (Methodology), AI Product Development (Service)

#### AI Technical Debt
- Type: TopicCluster
- Description: The growing crisis of technical debt from AI-generated code: 41% code churn, 86% XSS failure rate, 66% productivity tax. Causes, measurement, and prevention strategies.
- URL: https://www.pixelmojo.io/blogs/vibe-coding-technical-debt-crisis-2026-2027
- Also known as: Vibe Coding Debt, AI Code Quality Crisis
- Keywords: ai-technical-debt, vibe-coding, code-quality, code-churn
- Related entities: Thread-Based Engineering (Methodology), Claude Code Development (TopicCluster)

#### Claude Code Development
- Type: TopicCluster
- Description: Patterns and workflows for production AI-assisted development using Claude Code: hooks, context engineering, CLAUDE.md, CI/CD integration, and technical debt mitigation.
- URL: https://www.pixelmojo.io/blogs/claude-code-technical-debt-mitigation-guide
- Also known as: Claude Code Workflows, AI-Assisted Development
- Keywords: claude-code, claude-md, context-engineering, ai-coding, hooks
- Related entities: Thread-Based Engineering (Methodology), AI Technical Debt (TopicCluster), Anthropic Agent SDK (TopicCluster)

#### Anthropic Agent SDK
- Type: TopicCluster
- Description: The programmatic TypeScript surface for building agents on top of Claude. Covers the 12 hook events (PreToolUse, PostToolUse, UserPromptSubmit, Stop, SubagentStop, PreCompact, SessionStart, SessionEnd, Notification, PermissionRequest, SubagentStart, PostToolUseFailure), the HookCallback signature, hookSpecificOutput decisions (allow/deny/ask + updatedInput), and how programmatic hooks compare to declarative Claude Code settings.json hooks.
- URL: https://www.pixelmojo.io/blogs/anthropic-agent-sdk-hooks-typescript-reference
- Also known as: Claude Agent SDK, Anthropic Claude Agent SDK, Claude Code Hooks SDK
- Keywords: anthropic-agent-sdk, claude-agent-sdk, typescript-hooks, claude-code-hooks, pretooluse, posttooluse, subagentstop, userpromptsubmit, hook-callback, hookspecificoutput
- Related entities: Claude Code Development (TopicCluster), Thread-Based Engineering (Methodology)

#### Design Psychology
- Type: TopicCluster
- Description: How cognitive biases, aesthetic-usability effects, and behavioral science shape design decisions that drive measurable business outcomes.
- URL: https://www.pixelmojo.io/blogs/the-aesthetic-usability-effect-why-good-looking-designs-feel-easier-to-use
- Also known as: Behavioral Design, Cognitive Design Patterns
- Keywords: design-psychology, aesthetic-usability, behavioral-design, ux-psychology
- Related entities: Brand & Sales Design (Service), AX Design (Methodology)

#### AI Code Ownership
- Type: TopicCluster
- Description: Practice of structuring AI agency engagements so the customer owns the application source code, deployment infrastructure, and the right to modify or fork without vendor permission. Defines contract clauses (IP assignment, source code escrow, deployment access, knowledge transfer SLAs) that distinguish ownership engagements from typical lock-in consulting models.
- URL: https://www.pixelmojo.io/blogs/ai-agency-code-ownership-without-vendor-lock-in
- Also known as: AI Agency Code Ownership, AI Vendor Lock-In Prevention, Build + Platform + Performance
- Keywords: ai-code-ownership, ai-vendor-lock-in, ai-agency-contract, build-platform-performance, own-code-ai, code-escrow, ip-assignment
- Related entities: AI Product Development (Service), Thread-Based Engineering (Methodology), Vector (Product), Hive (Product), Radar (Product)

#### Growth Marketing
- Type: TopicCluster
- Description: Data-driven growth marketing strategies enhanced by AI: consumer behavior analysis, agency transformation, and AI-native marketing systems.
- URL: https://www.pixelmojo.io/blogs/ai-growth-marketing-definitive-guide
- Also known as: AI Growth Marketing, Performance Marketing
- Keywords: growth-marketing, ai-marketing, agency, b2b-marketing
- Related entities: Growth Marketing (Service), Generative Engine Optimization (Methodology)


---

## Research

### State of AI Visibility 2026
82 unique domains audited across 6 industries using Radar's 6-dimension AI readiness framework.
Average AI readiness score: 45/100. Median: 47/100. Range: 2 to 92.
54% of domains scored D or F (effectively invisible to AI search engines).
Only 1 domain has scored an A (90+/100), about 1.2% of the dataset.
Top industry: Healthcare (52/100). Lowest: Services (36/100).
Biggest blocker: robots.txt misconfiguration (avg 43/100) and missing schema markup (avg 43/100).
Lowest dimension: Answer Engine Optimization (avg 25/100).
Data source: Real Radar platform audits, March 2026 to present. The full 82-domain dataset is updated as more audits land; live dashboard at /labs/state-of-ai-visibility-2026.
URL: https://www.pixelmojo.io/labs/state-of-ai-visibility-2026
Published: April 2026
Type: Research Report

### AI Visibility Benchmarks (Anonymized, Auto-Refreshed Hourly)

Anonymized score distributions by industry, pulled live from the Radar platform audit database and refreshed hourly via Next.js ISR (stale-while-revalidate). The page distinguishes raw audited domains (every domain that has run a Radar audit) from surfaced domains (those in industries meeting the 3-domain threshold for public listing). Recently-audited domains in micro-categories sit invisible until peers join them.

Privacy architecture: The public RPC (get_leaderboard) returns only rank, category, unified_score, unified_grade, and last_audited. Domain and brand columns are never fetched or rendered on public pages. Delivers the same benchmarking value as Glassdoor salary bands: aggregate signal that helps users benchmark without exposing individual identities.

Methodology: Uses the latest audit per unique domain (so stale scores roll off as users re-audit). Unified 0-100 AI readiness score is computed by averaging 6 content-surface tools: crawl accessibility, robots.txt configuration, llms.txt implementation, AI readiness composite, schema markup quality, and answer engine optimization.

Surface rule: An industry publishes only when 3+ unique domains are audited in that category. Prevents micro-categories from becoming de-facto identifiers (same threshold enforced on both the categories RPC and the ranked rows RPC).

Known limitation: Scores reflect the audited URL only. Multi-subdomain brands (blog.google, developers.google.com, etc.) may under-score at the homepage level because their AI surface lives on subdomains.

- Index URL: https://www.pixelmojo.io/labs/leaderboards
- Per-category URLs: https://www.pixelmojo.io/labs/leaderboards/[category-slug]
- Refresh: hourly (Next.js ISR, stale-while-revalidate)
- Type: Anonymized industry benchmarks
- Published: April 2026 (ongoing)

### Brand Index,50 Curated Named Brands, Live Weekly Audits, Transparent Methodology

Curated public reference index of 50 named brands across 5 industries (SaaS, E-commerce, Fintech, Healthcare, Media, 10 each). Distinct from /labs/leaderboards (anonymized aggregate stats) in that the Brand Index publishes specific brand identifiers and per-brand detail pages. Each brand is audited weekly with Radar's 13-tool methodology. Live LLM queries against ChatGPT, Perplexity, Claude, and Gemini (scored), plus Grok as a report-only engine, plus crawl/robots/llms.txt/schema/AEO checks. Methodology fully published at /platform/methodology, weights, dimensions, scoring formula all transparent.

Differentiator vs commercial AI-visibility indexes (Parse, etc.): live audits not cached responses, transparent published methodology not opaque "we measure visibility" claims, "Audit Blocked" honest treatment for paywalled or anti-bot-blocked sites instead of forcing a meaningless 0 score. Smaller scale (50 vs hundreds of thousands) but designed as an editorial reference, not a mass-search SaaS.

Methodology pulse: AI Readiness Score is a composite of 6 content-surface tools (crawl accessibility, robots.txt configuration, llms.txt implementation, AI readiness composite, schema markup quality, answer engine optimization). Same scoring formula as the State of AI Visibility 2026 report.

Categories with 10 brands each:
- SaaS: Notion, Linear, Figma, Webflow, Slack, Asana, Airtable, Loom, Calendly, Zapier
- E-commerce: Shopify, Glossier, Allbirds, Patagonia, Warby Parker, Casper, Bombas, Everlane, Away, Outdoor Voices
- Fintech: Stripe, Plaid, Wise, Revolut, Chime, Brex, Ramp, Mercury, Klarna, Affirm
- Healthcare: Headspace, Calm, Hims, Hers, Ro, One Medical, Teladoc, Oscar Health, BetterUp, Forward
- Media: Substack, NYT, The Atlantic, Vox, The Verge, TechCrunch, Wired, Quartz, The Information, Stratechery

Consent / removal: brands can request removal at any time via founders@pixelmojo.io. Removal is permanent and respected on every future catalog refresh.

- Index URL: https://www.pixelmojo.io/labs/brand-index
- Per-brand URLs: https://www.pixelmojo.io/labs/brand-index/[brand-slug]
- Refresh: weekly per brand (cron audits 8 oldest daily, full cycle ~7 days)
- Cost: $0 to readers, ~$15/mo OpenAI cost to Pixelmojo
- Type: Curated reference index with named brands
- Methodology: https://www.pixelmojo.io/platform/methodology
- Launched: May 2026 (ongoing)

### What Radar Caught About Us, Pixelmojo Self-Audit

The Pixelmojo team runs Radar against pixelmojo.io every week and publishes the unedited findings at /labs/our-radar-report. The page is reframed as a demonstration of Radar's value, not a Pixelmojo scorecard: the headline finding is the hallucinations Radar surfaces in production AI answers about Pixelmojo itself, quoted verbatim (what AI providers tell buyers vs. what is actually true). Subsequent sections cover the technical strengths the audit confirms (grade-A tools), the specific work-in-progress items the team is fixing this week, the honest overall score with context, the full 13-tool breakdown, and per-LLM citation coverage.

Why this page exists: Brand Index audits 50 named brands publicly with the same methodology. This page applies that transparency to Pixelmojo itself. Publishing only flattering numbers would invalidate the methodology. Publishing what it actually finds (including hallucinations and AEO gaps) is the proof. Same JSON shape and scoring formula as every customer audit.

Sales/positioning angle: most AI visibility tools track whether a brand is mentioned. Radar tracks whether what is said is accurate, then surfaces the corrections needed. The hallucination findings on this page are the value proposition, not a concession.

Companion to /labs/brand-index (50 brands, anonymized aggregates at /labs/leaderboards). Differs from those by being a single-brand deep dive focused on hallucination detection and AEO gap identification.

- URL: https://www.pixelmojo.io/labs/our-radar-report
- Refresh: weekly (server-side ISR every 6 hours; new content lands when the weekly Radar cron writes a new `radar_audit_runs` row for pixelmojo.io)
- Methodology: https://www.pixelmojo.io/platform/methodology
- Type: Public self-audit / dogfood proof
- Launched: May 2026

### Sample Radar Report, Full De-Identified Client Audit

A complete 13-tool Radar audit published in full at /platform/sample-report, exactly as the client received it, with the client de-identified. The subject is a boutique travel agency that scored 33 out of 100 (grade D). Their brand name, domain, the same-name businesses they collide with, the individuals named in engine responses, the audit run id, and their specific destination specialties are all removed. Every score, count, and finding is unedited.

What the page contains, in the order the report presents it: an executive summary, the overall score with a plain-English reading, all 13 tool scores with grades and what each measures, a per-engine breakdown of what ChatGPT, Claude, Perplexity, Gemini, and Grok actually returned when asked about the company, query coverage by type, a competitive AI share-of-voice benchmark against booking.com/kayak/expedia, content citation analysis, five key findings each with evidence and implication, an eight-item prioritized fix list with impact/effort/priority, and a re-measurement plan with leading indicators.

Headline findings from this audit, useful as a worked example of what Radar detects: three of four engines described a different same-named business when asked about the company (Brand Disambiguation scored 20); structured data and llms.txt both scored 0, leaving engines nothing authoritative to verify against; the company appeared 0 times across 8 competitive buying-stage queries, ranking 119 of 118 brands found. The technical foundation was sound (full bot access, valid robots.txt, server-rendered), so the prescribed fixes are markup and content work, not re-platforming.

Why this page exists: /labs/our-radar-report shows Radar pointed at Pixelmojo, and /labs/brand-index shows it pointed at 50 known brands. This page shows the actual client deliverable, which neither of those does. Answers the question "what does a Radar report actually contain?" without requiring a signup or a purchase.

- URL: https://www.pixelmojo.io/platform/sample-report
- Refresh: static (a fixed historical audit, not re-run)
- Methodology: https://www.pixelmojo.io/platform/methodology
- Type: Sample deliverable / de-identified client audit
- Subject scored: 33/100, grade D
- Published: July 2026

---

## Blog (95 articles, grouped by series)

### Series: The AI Visibility Stack

- [What a Wrong-Company Audit Taught Us About AI Visibility](https://www.pixelmojo.io/blogs/what-a-wrong-company-audit-taught-us-about-ai-visibility)
  An AI visibility audit can look credible while measuring the wrong company. What one failure taught us about entity resolution and audit integrity.
  Published: 2026-07-31T00:00:00.000Z | Tags: geo, generative-engine-optimization, ai-search, ai-citations, llms-txt

- [From Free Audit to AI Visibility Strategy: The 5-Stage Path 50 Users Are Following](https://www.pixelmojo.io/blogs/from-free-audit-to-ai-visibility-strategy)
  Fifty real users went from a free AI visibility tool to a paid strategy. Here is the 5-stage conversion path they actually followed, where they dropped off, and what it means for you at whatever stage you are in.
  Published: 2026-04-22T00:00:00.000Z | Tags: ai-visibility, ai-visibility-tools, ai-visibility-audit, ai-visibility-strategy, ai-visibility-platform

- [13 Tools in 60 Seconds: Why Orchestrated Audits Beat Running Tools Separately](https://www.pixelmojo.io/blogs/why-radar-beats-running-12-tools-separately)
  Running AI visibility tools one at a time misses cross-tool conflicts that matter most. Here is how Radar orchestrates 13 tools in parallel and catches what individual tools cannot.
  Published: 2026-04-15T00:00:00.000Z | Tags: ai-visibility, ai-visibility-tools, ai-visibility-audit, ai-visibility-score, ai-visibility-platform

- [Your SEO Is Fine. Your AI Visibility Isn't. Here's the Gap Nobody's Measuring.](https://www.pixelmojo.io/blogs/your-seo-is-fine-your-ai-visibility-isnt)
  Only 12.4% of Fortune 1000 companies have valid entity schema for AI. Your Ahrefs score means nothing to ChatGPT. Here are the 5 layers SEO tools completely miss.
  Published: 2026-04-09T00:00:00.000Z | Tags: ai-visibility, ai-visibility-gap, seo-vs-ai-visibility, ai-search, ai-citations

- [AI Was Lying About Our Brand. So We Built a Tool to Stop It.](https://www.pixelmojo.io/blogs/ai-visibility-stack-origin-story)
  How Pixelmojo went from zero AI citations to building Radar, an AI visibility platform, with 516 timestamped git commits proving every fix.
  Published: 2026-04-05T00:00:00.000Z | Tags: ai-visibility, radar, case-study, llms-txt, knowledge-graph

- [50 Users Ran Our Free AI Visibility Tools. Here Is What They Found.](https://www.pixelmojo.io/blogs/50-users-free-ai-visibility-tools-what-they-were-looking-for)
  50 users requested Radar tokens and ran all 13 AI visibility tools. Average session: 10+ minutes. What they discovered, why they came back, and what it means for your AI search strategy.
  Published: 2026-04-02T00:00:00.000Z | Tags: ai-visibility, ai-visibility-tools, free-tools, radar, geo

### Series: The AI Search Playbook

- [We Built 2 Tools to Test If AI Engines Cite Your Pages](https://www.pixelmojo.io/blogs/aeo-page-auditor-answer-engine-citation-tester-launch)
  AEO Page Auditor scores pages for answer engine readiness. Answer Engine Citation Tester checks if AI engines cite your URL. Both now generate AI-ready implementation prompts via Radar.
  Published: 2026-03-28T00:00:00.000Z | Tags: aeo, answer-engine-optimization, aeo-page-auditor, answer-engine-tester, geo

- [AI Visibility Stack: How We Monitor SEO, GEO and LLMs (2026)](https://www.pixelmojo.io/blogs/ai-visibility-stack-seo-geo-llm-monitoring-vector-hive)
  How we use Radar, Vector, and Hive to monitor AI visibility across SEO, GEO, and LLM channels. Real GSC data and the 3-layer monitoring framework.
  Published: 2026-03-22T00:00:00.000Z | Tags: ai-visibility-tools, ai-visibility-stack, ai-visibility-monitoring, seo-intelligence, ai-citation-tracking

- [We Built a Platform to Run Our AI Search Playbook in 60 Seconds](https://www.pixelmojo.io/blogs/radar-ai-visibility-platform-run-entire-playbook-60-seconds)
  Radar by Pixelmojo runs 13 AI visibility tools in parallel, generates cross-tool insights, and produces AI-ready implementation prompts you paste into Claude, ChatGPT, or Cursor to fix every issue.
  Published: 2026-03-17T00:00:00.000Z | Tags: radar, ai-visibility-platform, ai-visibility-audit, ai-visibility-score, geo

- [We Blocked 12 AI Bots: What Worked, What Changed](https://www.pixelmojo.io/blogs/why-we-blocked-ai-training-bots-and-citations-went-up)
  In March 2026 we blocked 12 AI training crawlers and citations went up. In May 2026 we evolved the policy to selectively allow training bots that feed AI engines we want citing us. The original case study plus the retrospective on why we changed.
  Published: 2026-03-06T00:00:00.000Z | Tags: ai-training-bots, robots-txt-strategy, ai-search, ai-citations, geo

- [The AI Discoverability Stack: How We Got AI Search Engines to Cite Us](https://www.pixelmojo.io/blogs/ai-discoverability-stack-get-cited-by-ai-search)
  We built 4 features that turn a website from a scraped source into a primary citation target for AI search engines. Here is the exact implementation.
  Published: 2026-03-04T00:00:00.000Z | Tags: geo, generative-engine-optimization, ai-search, ai-citations, llms-txt

- [GEO Playbook: Get Cited by ChatGPT, Perplexity & Claude](https://www.pixelmojo.io/blogs/geo-playbook-get-cited-chatgpt-perplexity-claude)
  The GEO playbook to get cited in ChatGPT, Perplexity, and Claude. 7 steps, plus the real before/after data from doing it ourselves.
  Published: 2026-02-17T00:00:00.000Z | Tags: geo-playbook, generative-engine-optimization, geo, ai-citations, chatgpt-citations

- [Google Traffic Dropped 33%? What the AI-Search Shift Means](https://www.pixelmojo.io/blogs/google-traffic-dropped-33-percent-ai-search-shift)
  Organic clicks are falling as AI answers replace search. Where your traffic actually went, what the shift means, and how to recover.
  Published: 2026-02-17T00:00:00.000Z | Tags: ai-search, generative-engine-optimization, geo, aeo, answer-engine-optimization

- [We Optimized for AI Search. Here's What Changed.](https://www.pixelmojo.io/blogs/optimized-ai-search-pixelmojo-results)
  We implemented every GEO tactic from our own playbook. Here is exactly what we built, what we changed, and what we learned about optimizing a real site for AI search citations.
  Published: 2026-02-17T00:00:00.000Z | Tags: geo-case-study, generative-engine-optimization, geo, ai-search-optimization, ai-search-results

- [SEO vs AEO vs GEO: From Ranking in Search to Becoming the Recommended Brand](https://www.pixelmojo.io/blogs/seo-vs-geo-vs-aeo-guide-2026)
  Learn the difference between SEO, AEO, and GEO, and how brands can move from ranking in search to being cited in answers and recommended by AI engines.
  Published: 2026-02-17T00:00:00.000Z | Tags: seo-vs-geo, geo-vs-aeo, aeo-vs-geo, generative-engine-optimization, answer-engine-optimization

- [How to Build a Brand That AI Search Engines Cite](https://www.pixelmojo.io/blogs/build-brand-ai-search-engines-cite)
  5 branding strategies optimized for ChatGPT, Perplexity, and AI Overviews. Build a brand AI search engines actually cite and recommend.
  Published: 2025-06-12T00:00:00.000Z | Tags: brand-strategy, branding-tips, brand-building, brand-identity, ai-search-branding

### Series: The AX Design Playbook

- [Thread-Based Agentic Experience Engineering [TBE + AXD]](https://www.pixelmojo.io/blogs/thread-based-agentic-experience-engineering-tbe-meets-axd)
  The unified framework connecting Thread-Based Engineering to Agentic Experience Design. How thread autonomy levels map to trust patterns and supervision models.
  Published: 2026-03-23T00:00:00.000Z | Tags: thread-based-engineering, ai-governance, code-quality, thread-types, z-threads

- [AX Metrics: How to Measure Agentic Experience Quality Beyond Task Completion](https://www.pixelmojo.io/blogs/ax-metrics-measuring-agentic-experience-quality-beyond-task-completion)
  Task completion alone is a vanity metric for AI agents. The five-pillar AX metrics framework that separates agents users tolerate from agents users trust.
  Published: 2026-03-14T00:00:00.000Z | Tags: agentic-ux-design, agentic-experience, ax-design, ai-coworker, ax-metrics

- [Agent Personality Design: Voice and Trust Framework](https://www.pixelmojo.io/blogs/agent-personality-voice-design-how-to-build-ai-coworkers-people-trust)
  Too much anthropomorphism kills trust by 47%. A practical framework for AI agent personality, tone calibration, and voice design that builds trust.
  Published: 2026-03-13T00:00:00.000Z | Tags: agentic-ux-design, agentic-experience, ax-design, ai-coworker, agent-personality-design

- [Conversation Flow Architecture [4 Design Layers]](https://www.pixelmojo.io/blogs/conversation-flow-architecture-designing-multi-turn-agent-interactions)
  LLMs lose 39% accuracy after 5 turns. Learn 4 conversation flow layers: state machines, context persistence, handoff topologies, and state recovery for production agents.
  Published: 2026-03-11T00:00:00.000Z | Tags: agentic-ux-design, agentic-experience, ax-design, ai-coworker, conversation-flow-architecture

- [Trust Design Patterns: How Users Learn to Rely on AI Coworkers](https://www.pixelmojo.io/blogs/ax-design-trust-patterns-how-users-learn-to-rely-on-ai-coworkers)
  Only 6% of companies fully trust AI agents for core processes. This guide covers the six trust patterns, progressive autonomy, and recovery cycles that make agentic experiences trustworthy.
  Published: 2026-03-08T00:00:00.000Z | Tags: agentic-ux-design, agentic-experience, ax-design, ai-coworker, trust-design-patterns

- [AX Design Explained: The 2026 Guide to Agentic Experience](https://www.pixelmojo.io/blogs/what-is-ax-design-complete-guide-agentic-experience-2026)
  AX (agentic experience) design explained: what it is, how it differs from UX, and how to design for an era where AI agents are the users.
  Published: 2026-03-06T00:00:00.000Z | Tags: agentic-ux-design, agentic-experience, ax-design, ai-coworker, what-is-ax-design

### Series: Multi-Agent AI

- [From UX to AX: What Design Looks Like When AI Becomes Your Co-Worker](https://www.pixelmojo.io/blogs/from-ux-to-ax-design-when-ai-becomes-coworker)
  UX design is splitting into a new discipline called AX (Agentic Experience). This guide covers the six patterns, four protocols, and product redesigns shaping interfaces in 2026.
  Published: 2026-02-17T00:00:00.000Z | Tags: agentic-ux-design, agentic-experience, ax-design, ai-coworker-ux, generative-ui

- [The Dawn of Agentic AI: From Chatbots to Co-workers in 2026](https://www.pixelmojo.io/blogs/dawn-of-agentic-ai-chatbots-to-coworkers-2026)
  AI is no longer just answering questions—it is taking action. The shift from assistive chatbots to agentic AI co-workers is the defining technology transition of 2026. What this means for businesses and why self-verification changes everything.
  Published: 2026-01-10T00:00:00.000Z | Tags: agentic-ai-2026, ai-agents-vs-chatbots, autonomous-ai-agents, ai-coworkers, self-verification-ai

- [Multi-Agent AI Platform: Build vs Buy - Pricing & TCO (2026)](https://www.pixelmojo.io/blogs/multi-agent-ai-platform-buyers-guide-build-vs-buy-comparison)
  We compared CrewAI, AutoGen, LangGraph, and 4 SaaS platforms on real 3-year costs. One option costs 73% less. Full pricing tables inside.
  Published: 2026-01-05T00:00:00.000Z | Tags: multi-agent-ai-buyer-guide, ai-agent-platform-comparison, build-vs-buy-ai-agents, enterprise-ai-evaluation, ai-agent-tco-analysis

- [Multi-Agent AI Systems Explained: When One AI Is Not Enough](https://www.pixelmojo.io/blogs/multi-agent-ai-systems-explained-when-one-ai-isnt-enough)
  Why single AI agents fail at scale and how multi-agent orchestration solves it. Architecture patterns, shared intelligence, and why 95% of AI pilots stall before production.
  Published: 2026-01-02T00:00:00.000Z | Tags: multi-agent-ai-systems, ai-agent-orchestration, multi-agent-orchestration, ai-agents-2026, enterprise-ai-architecture

### Series: AI Technical Debt

- [We Built a Production AI Travel Platform in 1 Day. Here Is How.](https://www.pixelmojo.io/blogs/lakbay-ai-case-study-thread-based-engineering-in-production)
  Lakbay AI: production RAG travel platform with 3 portals, flight search, and pgvector — built in 1 day using Thread-Based Engineering. Traditional estimate: 3-7 months.
  Published: 2026-02-08T00:00:00.000Z | Tags: thread-based-engineering, z-thread, zero-touch-thread, ai-case-study, lakbay-ai

- [Claude Code Technical Debt Mitigation: The Complete Production Guide](https://www.pixelmojo.io/blogs/claude-code-technical-debt-mitigation-guide)
  Prevent AI-generated technical debt with Claude Code using CLAUDE.md optimization, security-first prompting, and production guardrails. Research-backed strategies that deliver +5-10% improvement.
  Published: 2026-02-01T00:00:00.000Z | Tags: claude-code, claude-code-technical-debt, claude-md, ai-code-quality, ai-technical-debt

- [Thread-Based Engineering: How We Prevent the AI Technical Debt Crisis](https://www.pixelmojo.io/blogs/thread-based-engineering-prevents-ai-technical-debt)
  While 88% of developers report negative AI impacts on technical debt, Pixelmojo Thread-Based Engineering and Hive prevent the crisis through governance-first design.
  Published: 2026-02-01T00:00:00.000Z | Tags: thread-based-engineering, ai-governance, technical-debt-prevention, hive-ai, ai-coding-governance

- [Vibe Coding Hit 84% Adoption. 45% Has Vulnerabilities.](https://www.pixelmojo.io/blogs/vibe-coding-technical-debt-crisis-2026-2027)
  84% of developers adopted vibe coding but only 29% trust it. 45% of AI-generated code has security vulnerabilities. The 2026 research data, the risks, and governance patterns that work.
  Published: 2026-01-31T00:00:00.000Z | Tags: vibe-coding, technical-debt, ai-coding, agentic-coding, ai-coworkers

### Series: Thread-Based Engineering

- [Thread-Based Engineering: The Framework for Scaling AI Development](https://www.pixelmojo.io/blogs/thread-based-engineering-scaling-ai-development)
  The definitive guide to Thread-Based Engineering: 7 thread types, governance alignment, production proof (Lakbay AI built in 1 day), and the research showing why AI coding without this framework creates 41% code churn and 86% XSS failure rates.
  Published: 2026-01-24T00:00:00.000Z | Tags: thread-based-engineering, ai-assisted-development, parallel-workflows, multi-agent-orchestration, ai-productivity

### Series: AI Native Agency

- [AI Automation vs Traditional Agency: Real 2026 Cost Guide](https://www.pixelmojo.io/blogs/budgeting-marketing-design-ai-automation-vs-traditional-agency-fees)
  What AI-automated design and marketing actually costs vs a traditional agency retainer in 2026. A side-by-side breakdown to budget with confidence.
  Published: 2025-10-12T00:00:00.000Z | Tags: budgeting-marketing-design, ai-automation-vs-traditional-agency, ai-native-agency-cost, marketing-design-budget, agency-fees-comparison

- [Market Trends: Why B2B Brands Are Moving to AI-Native Agencies in 2025](https://www.pixelmojo.io/blogs/why-b2b-brands-moving-to-ai-native-agencies)
  McKinsey data reveals 57% of high-growth B2B companies are deploying AI-native capabilities. Discover why traditional agencies are losing ground to AI-powered partners through faster delivery, improved efficiency, and unprecedented personalization capabilities.
  Published: 2025-10-11T00:00:00.000Z | Tags: b2b-marketing-trends, ai-native-agencies, b2b-digital-transformation, ai-marketing-automation, b2b-growth-marketing

- [AI-Native vs Traditional Design Agency: Full Comparison](https://www.pixelmojo.io/blogs/ai-native-design-agency-vs-traditional-agency-complete-guide)
  AI-native vs traditional design agencies compared on speed, cost, quality, and ownership, so you can pick the right partner for AI-era work.
  Published: 2025-09-28T00:00:00.000Z | Tags: ai-native-design-agency, traditional-design-agency, ai-powered-creative-agency, design-agency-comparison, ai-design-tools

### Series: Growth Marketing

- [AI Growth Marketing Mastery: Complete Strategy Guide](https://www.pixelmojo.io/blogs/the-definitive-guide-to-growth-marketing-in-the-age-of-ai-strategies-frameworks-and-real-world-dominance)
  Master AI-powered growth marketing with this comprehensive 3000+ word playbook. Learn precision targeting, hyper-personalization, predictive analytics, and ethical AI implementation strategies that industry leaders use to dominate their markets.
  Published: 2025-08-30T00:00:00.000Z | Tags: ai-marketing, growth-marketing, b2b-marketing, agency, growth-hacking

- [Growth Marketing vs. Traditional Marketing: The Complete Guide](https://www.pixelmojo.io/blogs/growth-marketing-vs-traditional-marketing-the-complete-guide)
  Transform your marketing from cost center to revenue engine. This definitive guide reveals why growth marketing outperforms traditional campaigns, with actionable frameworks, tools, and strategies for building systematic, data-driven growth that scales predictably.
  Published: 2025-06-21T00:00:00.000Z | Tags: growth-marketing, traditional-marketing-vs-growth-marketing, growth-marketing-framework, aarrr-pirate-metrics, customer-lifetime-value

### Series: Southeast Asia UX

- [UI/UX Design Best Practices for Southeast Asia SaaS: Localization, Accessibility, Conversion](https://www.pixelmojo.io/blogs/ui-ux-design-best-practices-for-southeast-asia-saas-localization-accessibility-conversion)
  An enterprise-ready guide to designing SaaS for Southeast Asian markets. Sourced data from Google-Temasek-Bain, GSMA, and Statista on localization, payment ecosystems, mobile-first design, accessibility compliance, and conversion optimization across ASEAN.
  Published: 2025-07-26T00:00:00.000Z | Tags: ui-ux-design-southeast-asia, saas-design-asean, localization-best-practices, accessibility-saas-design, conversion-optimization-sea

- [Mastering UX Design in the Philippines: A Guide to Crafting Exceptional User Experiences](https://www.pixelmojo.io/blogs/mastering-ux-design-in-the-philippines-a-guide-to-crafting-exceptional-user-experiences)
  Master UX design for the Philippine market with sourced data from DataReportal, BSP, and GCash. 97.5M internet users, 88% mobile web traffic, 57.4% digital payments — practical frameworks for mobile-first design, local payment integration, and cultural considerations that drive conversion.
  Published: 2025-06-12T00:00:00.000Z | Tags: ux-design-philippines, filipino-user-behavior, mobile-first-design-philippines, philippine-digital-experience, user-experience-design

### Series: Design Psychology

- [Why Beautiful Design Fails to Sell?](https://www.pixelmojo.io/blogs/why-beautiful-design-fails-to-sell)
  Discover why award-winning beautiful designs often have terrible conversion rates. This comprehensive guide reveals how to escape the 'pretty but pointless' trap and build growth-driven design that transforms visitors into customers through strategic, data-driven approaches.
  Published: 2025-06-21T00:00:00.000Z | Tags: beautiful-design-conversion, growth-driven-design, conversion-rate-optimization, design-fails-to-convert, aesthetic-vs-functional-design

- [The Aesthetic-Usability Effect: Why Good-Looking Designs Feel Easier to Use](https://www.pixelmojo.io/blogs/the-aesthetic-usability-effect-why-good-looking-designs-feel-easier-to-use)
  The Aesthetic-Usability Effect means users perceive beautiful designs as more usable. This guide covers the psychology, practical playbook, and real-world examples from Apple, Airbnb, and Google.
  Published: 2025-06-12T00:00:00.000Z | Tags: aesthetic-usability-effect, ux-design-psychology, beautiful-design-principles, user-experience-design, design-psychology

### Standalone Articles

- [Before You Hire a GEO Agency: 4 Green Flags and 5 Red Flags](https://www.pixelmojo.io/blogs/before-you-hire-a-geo-agency)
  How to evaluate a GEO agency before you sign. Four green flags, five red flags, and the baseline evidence any credible AI search partner should show you first.
  Published: 2026-08-02T00:00:00.000Z | Tags: geo, generative-engine-optimization, ai-search, ai-citations, seo-vs-geo

- [We Audit AI Visibility for a Living. So We Audited Ourselves.](https://www.pixelmojo.io/blogs/we-audited-our-own-ai-architecture)
  Can you trust the score an AI visibility tool gives you, tomorrow as well as today? We test our own scoring weekly and audited our whole stack. Here is the proof.
  Published: 2026-07-22T00:00:00.000Z | Tags: claude-code, claude-md, context-engineering, ai-coding, ai-technical-debt

- [AEO Score Explained: What It Measures and How to Improve It](https://www.pixelmojo.io/blogs/aeo-score-explained-checkers-grades-improvement)
  What is a good AEO score? See what AEO checkers actually measure, how grades work, real data from 59 audits, and the fixes that raise a failing score.
  Published: 2026-07-18T00:00:00.000Z | Tags: aeo, answer-engine-optimization, aeo-score, aeo-checker, aeo-audit

- [Decision-Stage AI Visibility: The Engines Buyers Ask](https://www.pixelmojo.io/blogs/decision-stage-ai-visibility)
  Buyers ask AI which option to choose before they reach your site. Decision-stage AI visibility is whether you win that recommendation, not just appear.
  Published: 2026-07-12T00:00:00.000Z | Tags: decision-stage-ai-visibility, ai-recommendation-optimization, answer-layer-vs-decision-layer, score-you-can-defend, ai-visibility-audit

- [What Does Grok Say About Your Brand? We Checked. It Got Ours Wrong.](https://www.pixelmojo.io/blogs/what-does-grok-say-about-your-brand)
  Grok answers brand questions for 117M monthly users per the SpaceX S-1. We measured what it says, and it got our own brand wrong. Check yours today.
  Published: 2026-07-09T00:00:00.000Z | Tags: grok, grok-ai, xai, grok-brand-visibility, ai-visibility

- [No Brand Controls Its AI Recommendations. Measure This Instead](https://www.pixelmojo.io/blogs/no-brand-controls-ai-recommendations)
  You cannot control what AI recommends about your brand. Here is why AI answers are volatile by design, and the five things to measure instead.
  Published: 2026-06-28T00:00:00.000Z | Tags: ai-visibility, decision-stage-ai-visibility, generative-engine-optimization, answer-engine-optimization, ai-search

- [AI Visibility Is an Evidence Architecture Problem, Not a Content Volume Problem](https://www.pixelmojo.io/blogs/ai-visibility-evidence-architecture)
  Publishing more content will not make you visible in AI answers. Evidence architecture, your claims, entities, sources, and structure, is what gets you cited.
  Published: 2026-06-27T00:00:00.000Z | Tags: ai-visibility, evidence-architecture, generative-engine-optimization, answer-engine-optimization, ai-search

- [A Score You Can Defend: How Radar Scores AI Visibility](https://www.pixelmojo.io/blogs/a-score-you-can-defend-how-radar-scores-ai-visibility)
  Most AI visibility scores are opaque grades you cannot defend. Here is how Radar scores AI visibility in three separated layers, with a trail behind every number.
  Published: 2026-06-25T00:00:00.000Z | Tags: radar, ai-visibility-platform, ai-visibility-audit, ai-visibility-score, decision-stage-ai-visibility

- [Google Preferred Sources: The User-Controlled AEO Lever](https://www.pixelmojo.io/blogs/google-preferred-sources-ai-overviews)
  Google Preferred Sources is the one AI visibility lever your audience controls, not the model. Here is how it works, who qualifies, and how to earn it.
  Published: 2026-06-23T00:00:00.000Z | Tags: google-preferred-sources, preferred-sources, ai-overviews, google-ai-mode, ai-search

- [Our Biggest AI Referrer Cites Us the Least](https://www.pixelmojo.io/blogs/ai-referral-traffic-vs-citation-share)
  Our analytics say Claude is our #1 AI traffic source. Our own Radar says Claude cites us the least. The two rankings are almost perfectly inverted. Here is why referral traffic cannot measure AI visibility.
  Published: 2026-06-21T00:00:00.000Z | Tags: ai-visibility, ai-visibility-audit, ai-visibility-platform, ai-citations, ai-citation-tracking

- [From Executor to Orchestrator: Legacy UX to AX Design](https://www.pixelmojo.io/blogs/from-executor-to-orchestrator-legacy-ux-to-ax-design)
  The experience designer is evolving from executor to orchestrator. Why legacy UX did not get replaced by AX Design, it got extended, and how to make the climb.
  Published: 2026-06-21T00:00:00.000Z | Tags: agentic-experience-design, ax-design, agentic-ux-design, agentic-experience, ai-coworker

- [Google Says You Don't Need llms.txt. Here's the Catch.](https://www.pixelmojo.io/blogs/google-says-you-dont-need-llms-txt)
  Google says llms.txt is unnecessary. Chrome Lighthouse audits it anyway. We fact-checked five studies on what llms.txt really does for AI visibility in 2026.
  Published: 2026-06-12T00:00:00.000Z | Tags: llms-txt, llms-txt-google, llms-txt-seo, llms-txt-ai-citations, geo

- [Brand Disambiguation: When AI Confuses Your Brand With Someone Else](https://www.pixelmojo.io/blogs/brand-disambiguation-ai-entity-confusion)
  When AI engines link your brand to the wrong same-named entity, you still get cited, but the citation points at someone else. Here is how brand disambiguation fails and how to fix it.
  Published: 2026-06-05T00:00:00.000Z | Tags: brand-disambiguation, entity-linking, named-entity-disambiguation, ai-brand-identity, same-name-confusion

- [Reddit Brand Monitor: What AI Learns About You on Reddit](https://www.pixelmojo.io/blogs/reddit-brand-monitor-ai-visibility-tool)
  Reddit is the most-cited source in AI answers. The Reddit Brand Monitor finds what is said about your brand there, scores it, and flags AI-generated seeded posts.
  Published: 2026-06-04T00:00:00.000Z | Tags: reddit-brand-monitor, llm-seeding, reddit-mentions, brand-monitoring, reddit-ai-visibility

- [YouTube Brand Monitor: What AI Hears About Your Brand](https://www.pixelmojo.io/blogs/youtube-brand-monitor-ai-visibility-tool)
  The YouTube Brand Monitor tracks what is said about your brand on YouTube, scores it on five dimensions, and reads the actual transcripts so you see the coverage AI already hears.
  Published: 2026-06-04T00:00:00.000Z | Tags: youtube-brand-monitor, youtube-mentions, video-brand-tracking, creator-coverage, brand-monitoring

- [How Radar Fix Prompts and the AI Advisor Fix Your AEO](https://www.pixelmojo.io/blogs/radar-fix-prompts-ai-advisor-fix-aeo-score)
  A failing AEO score is only useful if you can fix it. Here is how Radar fix prompts and the AI advisor turn audit findings into shipped fixes, no rewrite required.
  Published: 2026-06-03T00:00:00.000Z | Tags: radar, ai-fix-prompts, fix-prompts, ai-prompt-generator, implementation-threads

- [Why 9 in 10 Websites Fail AEO (And How to Fix It)](https://www.pixelmojo.io/blogs/why-most-websites-fail-aeo-answer-engine-optimization)
  We analyzed 59 real AEO audits from the Radar platform. The average score is 26 out of 100 and 9 in 10 sites scored an F. Here is why, and how to fix yours.
  Published: 2026-06-03T00:00:00.000Z | Tags: aeo, answer-engine-optimization, aeo-page-auditor, geo, generative-engine-optimization

- [AI Monitoring vs AI Technical Readiness: Why You Need Both (2026)](https://www.pixelmojo.io/blogs/ai-monitoring-vs-ai-technical-readiness)
  AI monitoring tools tell you what AI says about your brand. AI technical readiness fixes why it says it. They are companions, not competitors. Here is how the stack fits together.
  Published: 2026-05-29T00:00:00.000Z | Tags: ai-monitoring, ai-visibility, ai-visibility-tools, ai-technical-readiness, ai-visibility-platform

- [AI Agency Code Ownership: Hire Without Lock-In](https://www.pixelmojo.io/blogs/ai-agency-code-ownership-without-vendor-lock-in)
  AI agencies that retain your IP cost you 5x more over 3 years. Contract clauses, red flags, and the Build + Platform + Performance model that ends vendor lock-in. 2026 guide.
  Published: 2026-05-27T00:00:00.000Z | Tags: ai-code-ownership, ai-agency-code-ownership, ai-vendor-lock-in, own-code-ai-development, ai-agency-contract

- [Google Information Agents Skip Stale Sites (2026)](https://www.pixelmojo.io/blogs/google-information-agents-content-freshness-ai-search)
  Google Information Agents launch summer 2026. They scan the web 24/7 and weight content freshness heavily. Stale sites get skipped. Five freshness signals to fix.
  Published: 2026-05-25T00:00:00.000Z | Tags: google-information-agents, ai-search, geo, seo-vs-geo, ai-citations

- [Anthropic Agent SDK Hooks: TypeScript Reference](https://www.pixelmojo.io/blogs/anthropic-agent-sdk-hooks-typescript-reference)
  Programmatic Anthropic Agent SDK hooks reference. 12 events, full TypeScript signatures, PreToolUse, PostToolUse, Stop, SubagentStop, UserPromptSubmit with worked examples.
  Published: 2026-05-23T00:00:00.000Z | Tags: anthropic-agent-sdk, claude-agent-sdk, typescript-hooks, claude-code-hooks, pretooluse

- [Gemini 2.5 Made YouTube AI-Readable. Most Brands Haven't Caught Up.](https://www.pixelmojo.io/blogs/gemini-25-youtube-ai-readable)
  Gemini 2.5 reads YouTube video natively, not just transcripts. The category for auditing YouTube AI visibility barely exists. Here is the 3-layer stack, the honest data, and what to do before competitors notice.
  Published: 2026-05-15T00:00:00.000Z | Tags: youtube-ai-visibility, youtube-brand-monitor, video-citations, creator-coverage, youtube-citations

- [Radar Audited 50 Brands. Half Are Invisible to AI Search.](https://www.pixelmojo.io/blogs/50-brands-audited-half-invisible-to-ai-search)
  First findings from the Radar Brand Index. 50 named brands audited live with Radar. Stripe and BetterUp lead at 88/100. Hims and Hers hit 4/100. Three brands are completely invisible to AI. Here is what the data says.
  Published: 2026-05-09T00:00:00.000Z | Tags: ai-visibility, ai-visibility-audit, ai-visibility-score, ai-visibility-platform, brand-index

- [Your AI Visibility Score Is Meaningless Without Live LLM Queries](https://www.pixelmojo.io/blogs/ai-visibility-score-needs-live-llm-queries)
  Most AI SEO tools never actually query an LLM. They infer visibility from proxies. Static analysis cannot tell you what ChatGPT says about your brand. Only asking ChatGPT can.
  Published: 2026-05-05T00:00:00.000Z | Tags: ai-visibility, ai-visibility-score, ai-visibility-platform, ai-visibility-tools, ai-visibility-audit

- [Radar is GA: A 6-Tool Free Tier, $199 Retainer, and What We Shipped](https://www.pixelmojo.io/blogs/radar-ga-freemium-launch)
  Radar by Pixelmojo is generally available. Free tier runs 6 technical readiness tools. Paid from $5 per audit unlocks 7 more LLM-powered tools. Here is the launch story and the pricing logic.
  Published: 2026-04-19T00:00:00.000Z | Tags: radar, ai-visibility-platform, ai-visibility-audit, ai-visibility-score, ai-technical-readiness

- [We Analyzed 82 Real AI Visibility Audits. Here Is What the Data Shows.](https://www.pixelmojo.io/blogs/state-of-ai-visibility-2026-benchmarks-60-domain-audits)
  Original benchmark data from 82 real Radar platform audits across 6 core industries. Average AI readiness score: 45/100. Only 1 domain has scored an A so far. Here are the findings.
  Published: 2026-04-12T00:00:00.000Z | Tags: ai-visibility, ai-visibility-tools, ai-visibility-audit, ai-visibility-score, ai-visibility-platform

- [How to Track AI Citations: A Practical Guide to ChatGPT, Perplexity, Claude & Gemini](https://www.pixelmojo.io/blogs/how-to-track-ai-citations-chatgpt-perplexity-claude-gemini)
  Track what ChatGPT, Perplexity, Claude, and Gemini say about your brand. Free and paid methods, tools compared, and step-by-step setup.
  Published: 2026-04-11T00:00:00.000Z | Tags: ai-citations, ai-search, citation-tracking, ai-visibility, ai-visibility-tools

- [Best AI Visibility Tools (2026): 8 Options Compared](https://www.pixelmojo.io/blogs/best-ai-visibility-tools-2026)
  Compare the 8 best AI visibility tools for 2026. Pricing, features, and what each tool actually checks across ChatGPT, Perplexity, Claude, and Gemini.
  Published: 2026-04-10T00:00:00.000Z | Tags: ai-visibility, ai-visibility-tools, ai-visibility-audit, ai-visibility-score, ai-visibility-platform

- [What Is AI Technical Readiness? (And Why Monitoring Alone Is Not Enough)](https://www.pixelmojo.io/blogs/what-is-ai-technical-readiness)
  AI Technical Readiness is the infrastructure layer that ensures AI can crawl, parse, and cite your site. Monitoring shows symptoms. Technical readiness fixes the cause.
  Published: 2026-04-08T00:00:00.000Z | Tags: ai-technical-readiness, ai-visibility, ai-visibility-audit, ai-visibility-tools, ai-visibility-platform

- [Ghost Protocol: Multi-Agent Engineering Framework for GitHub Copilot](https://www.pixelmojo.io/blogs/ghost-protocol-thread-based-multi-agent-engineering-ai-coding)
  Ghost Protocol gives GitHub Copilot a team of 8 named specialist agents running 9 disciplined execution patterns. One install command. Agents execute, leave clean results, disappear.
  Published: 2026-04-01T00:00:00.000Z | Tags: ghost-protocol, github-copilot, multi-agent, ai-coding, copilot-framework

- [Radar v2: From Technical Audit to AI Intelligence Platform](https://www.pixelmojo.io/blogs/radar-v2-technical-audit-to-intelligence-platform)
  Radar now runs 13 AI visibility tools in parallel with DIY implementation features: AI prompt generator, 5 implementation threads, llms.txt and schema generators, single-tool re-verify, and progress tracking. Audit, understand, fix.
  Published: 2026-03-30T00:00:00.000Z | Tags: radar, ai-visibility-platform, ai-visibility-audit, ai-visibility-score, geo

- [How to Use Radar: Run All 13 AI Visibility Tools in 60 Seconds](https://www.pixelmojo.io/blogs/radar-user-guide-ai-visibility-platform)
  Step-by-step Radar guide: run 13 AI visibility tools in parallel, read cross-tool insights, generate AI-ready implementation prompts, and follow structured fix threads to improve your AI visibility.
  Published: 2026-03-28T00:00:00.000Z | Tags: radar, ai-visibility-platform, ai-visibility-audit, ai-visibility-score, geo

- [How We Optimized 21 Posts for AI Citation in One Session](https://www.pixelmojo.io/blogs/how-we-optimized-21-posts-for-ai-citation-aeo-implementation)
  We retrofitted 21 blog posts with AEO formatting, speakable schema, and entity-linked structured data. Here is exactly what we changed and why.
  Published: 2026-03-27T00:00:00.000Z | Tags: geo, generative-engine-optimization, aeo, answer-engine-optimization, ai-search

- [How We Built a Multi-Channel AI Sales Agent in One TBE Session](https://www.pixelmojo.io/blogs/how-we-built-multi-channel-ai-sales-agent-one-tbe-session)
  Case study: extending Vector from chat-only to email replies, broadcasts, and delivery tracking in a single Thread-Based Engineering session. Real code, real architecture.
  Published: 2026-03-25T00:00:00.000Z | Tags: thread-based-engineering, ai-governance, code-quality, thread-types, z-threads

- [10 Free AI Visibility Tools to Test Your Site (2026)](https://www.pixelmojo.io/blogs/free-ai-visibility-tools-complete-guide)
  Check how ChatGPT, Perplexity, and Claude see your website. 10 AI visibility tools (most free, AEO page auditor and citation tracker from $5): bot access checker, robots.txt analyzer, citation tracker, Reddit monitor, YouTube monitor, llms.txt validator, llms.txt generator, AI readiness scorer, AEO page auditor, and answer engine citation tester.
  Published: 2026-02-27T00:00:00.000Z | Tags: ai-visibility, geo-tools, ai-seo-tools, free-tools, geo

- [AI Product Development in the Philippines: Why Global CTOs Are Building Here](https://www.pixelmojo.io/blogs/ai-product-development-philippines-cto-guide)
  The Philippines AI development market is not about cheaper rates. It is about owned products, senior methodology-driven teams, and a timezone that actually works. A practical evaluation framework for CTOs.
  Published: 2026-02-25T00:00:00.000Z | Tags: ai-product-development, llm-integration, rag-systems, multi-agent, agentic-ai

- [The Junior Developer Extinction Problem: Why AI Technical Debt Needs Human Apprentices](https://www.pixelmojo.io/blogs/junior-developer-extinction-ai-technical-debt-human-apprentices)
  54% of engineering leaders plan to hire fewer juniors. The math looks right until you factor in who fixes AI-generated technical debt. A framework for CTOs rethinking their talent pipeline.
  Published: 2026-02-25T00:00:00.000Z | Tags: junior-developers, junior-developer-hiring, talent-pipeline, engineering-leadership, ai-technical-debt

- [How We Built a Knowledge Graph That LLMs Actually Cite (With Real Data)](https://www.pixelmojo.io/blogs/knowledge-graph-llm-visibility-real-data)
  We built a cross-site knowledge graph connecting two domains via JSON-LD entity linking. Here is the architecture, the code patterns, and the real analytics from the first week.
  Published: 2026-02-25T00:00:00.000Z | Tags: knowledge-graph, knowledge-graph-seo, knowledge-graph-implementation, entity-linking, entity-resolution

- [What Is an AI-Native Agency? Definition & Examples](https://www.pixelmojo.io/blogs/what-is-an-ai-native-agency-definition-guide)
  An AI-native agency builds with AI at the core, not bolted on. The definition, real examples, and how it differs from a traditional shop.
  Published: 2026-02-25T00:00:00.000Z | Tags: ai-native-agency, ai-native-agencies, agency, b2b-marketing, growth-marketing

- [Your llms.txt Is Already Stale. Here's How to Fix It.](https://www.pixelmojo.io/blogs/llms-txt-static-vs-dynamic-implementation-guide)
  Static llms.txt files go stale the moment you publish new content. This guide covers what llms.txt actually does, why 844K sites got it wrong, and how to build a dynamic version in Next.js.
  Published: 2026-02-17T00:00:00.000Z | Tags: llms-txt, llms-txt-implementation, llms-txt-guide, llms-txt-next-js, dynamic-llms-txt

- [AI Lead Scoring in 3 Seconds for $0.001 (No HubSpot)](https://www.pixelmojo.io/blogs/ai-lead-qualification-replace-hubspot-ai-agent)
  HubSpot charges $800/mo for lead scoring you do not own. We built a 0-100 qualification system for $0.001 per lead. Full source code, real architecture, and build playbook.
  Published: 2026-02-15T00:00:00.000Z | Tags: ai-lead-qualification, hubspot-alternative, lead-scoring, ai-sales-agent, contact-form-optimization

- [Claude Code Hooks: 6 Production Patterns (2026)](https://www.pixelmojo.io/blogs/claude-code-hooks-production-quality-ci-cd-patterns)
  Six production Claude Code hooks patterns: auto-format, file protection, security gates, type-checks, prompt review. Real settings.json examples.
  Published: 2026-02-14T00:00:00.000Z | Tags: claude-code-hooks, claude-code, claude-code-ci-cd, hooks-lifecycle-events, production-quality

- [Context Engineering Beyond CLAUDE.md: The 5-Layer Hierarchy](https://www.pixelmojo.io/blogs/context-engineering-ai-coding-agents-beyond-claude-md)
  CLAUDE.md is just layer one. The five-layer context hierarchy, memory patterns, and subagent strategies that separate productive AI coding from prompt guessing. With working examples.
  Published: 2026-02-14T00:00:00.000Z | Tags: context-engineering, claude-md, claude-code, ai-coding-agents, prompt-engineering

- [Slopsquatting and AI Supply Chain Attacks: A Defense Guide](https://www.pixelmojo.io/blogs/slopsquatting-ai-supply-chain-attacks-defense-guide)
  AI tools hallucinate 19.7% of package names. Attackers register them as malware. Learn how slopsquatting works and layered defense strategies.
  Published: 2026-02-14T00:00:00.000Z | Tags: slopsquatting, supply-chain-attacks, ai-security, package-hallucination, ai-coding-security

- [7 AI Prompts That Kill Bad Product Ideas Before You Waste $100K](https://www.pixelmojo.io/blogs/ai-prompts-validate-product-ideas-fast)
  Stop spending months on discovery. These 7 AI prompts help product teams validate ideas in 48 hours, identify fatal flaws early, and build products people actually want to pay for. Copy-paste ready frameworks included.
  Published: 2025-12-12T00:00:00.000Z | Tags: ai-product-validation, product-development, startup-validation, ai-prompts, product-market-fit

- [How Production AI Agents Solve Real Business Problems](https://www.pixelmojo.io/blogs/how-production-ai-agents-solve-business-pain-points)
  Vector platform architecture: 12-dimension lead qualification, conversation intelligence, and RAG-powered knowledge retrieval for enterprise sales teams.
  Published: 2025-11-08T00:00:00.000Z | Tags: production-ai-systems, rag-architecture, vector-databases, multi-agent-orchestration, ai-agent-platform

- [The UX Evolution: How Strategic Experience Architects Are Redefining Design in the AI Era](https://www.pixelmojo.io/blogs/ux-designer-to-strategic-experience-architect-ai-transformation)
  Nielsen Norman Group reports that critical thinking, creativity, and taste are becoming the key differentiators as AI tools handle routine UX tasks. Learn how top UX professionals are evolving into Strategic Experience Architects who orchestrate AI while focusing on strategic thinking and business outcomes.
  Published: 2025-11-01T00:00:00.000Z | Tags: ux-designer-career-evolution, strategic-experience-architect, ai-powered-ux-design, ux-automation-tools, future-of-ux-design

- [Why AI-First Customer Service Is the New 'Press 1 for Sales' (and Why You're Losing Customers)](https://www.pixelmojo.io/blogs/ai-first-customer-service-automation-trap)
  Intent detection and risk-tier routing sound smart but ignore human psychology. Gartner reports 64% of customers prefer companies not use AI for service. Industry observations suggest AI-first approaches significantly increase abandonment compared to human-first strategies. Route by emotional value—not transaction stakes.
  Published: 2025-10-19T00:00:00.000Z | Tags: ai-customer-service, customer-experience-automation, ai-chatbots, conversational-ai, customer-service-strategy

- [The Complete AI Copilot Stack Guide for 10x Developer Productivity](https://www.pixelmojo.io/blogs/complete-guide-ai-copilot-stack-multimodal-tools-developer-productivity)
  Learn how to build a complete AI copilot stack that combines Figma AI, Claude Code, Cursor, and 12+ other tools for 10x developer productivity. Includes step-by-step setup guides, integration strategies, ROI calculations, and real-world case studies from teams achieving 67% faster development cycles.
  Published: 2025-09-23T00:00:00.000Z | Tags: ai-copilot-stack, multimodal-ai-tools, developer-productivity, claude-code-setup, cursor-ai-workflow

- [AI Design Control Tower: How to Build Data-Driven Design Operations That Scale (2025 Guide)](https://www.pixelmojo.io/blogs/ai-design-control-tower)
  Learn how to build an AI-powered design operations system that transforms product telemetry into actionable design decisions. Complete guide with architecture blueprints, implementation roadmap, and proven frameworks used by high-growth teams to ship 5x faster while maintaining quality. Includes free sprint checklist and 120-day rollout plan.
  Published: 2025-09-18T00:00:00.000Z | Tags: ai-design-operations, design-systems-automation, product-analytics-design, ai-driven-ux, design-ops-framework

- [Why Your Design Team's Next Hire Should Think Like a Computer Scientist](https://www.pixelmojo.io/blogs/why-your-design-teams-next-hire-should-think-like-a-computer-scientist)
  The Philippines' most successful companies aren't just designing interfaces, they're architecting decision systems. This long-form playbook operationalizes Computational Thinking for design and growth teams.
  Published: 2025-09-15T00:00:00.000Z | Tags: design, computational-thinking, growth-os, ux, philippines

- [The Developer Collaboration Framework: How We Built a System That Actually Works](https://www.pixelmojo.io/blogs/the-developer-collaboration-framework-how-we-built-a-system-that-actually-works)
  Stop duct-taping tools and start building a system that supports fast, collaborative, and high-quality development at scale. A comprehensive blueprint for high-performance teams using modern frameworks, testing strategies, and deployment pipelines.
  Published: 2025-08-25T00:00:00.000Z | Tags: developer-collaboration, software-development, monorepo, nx-framework, astro

- [Consumer Behavior in Marketing Strategies: Factors, Technology's Role, and Research Methods](https://www.pixelmojo.io/blogs/consumer-behavior-in-marketing-strategies-factors-technology-role-and-research-methods)
  Master the science of consumer behavior to create marketing strategies that drive results. Explore psychological triggers, technology's impact, research methods, and practical applications that transform customer insights into measurable business growth.
  Published: 2025-06-29T00:00:00.000Z | Tags: consumer-behavior, marketing-psychology, behavioral-marketing, customer-insights, marketing-research

- [Tools You Didn't Know Your Agency Needed](https://www.pixelmojo.io/blogs/tools-you-didnt-know-your-agency-needed)
  Discover the specialized growth marketing tools and technologies that separate high-performing agencies from the competition. This comprehensive guide reveals the modern tech stack that drives predictable ROI and client retention for forward-thinking agencies.
  Published: 2025-06-26T00:00:00.000Z | Tags: agency-tools, growth-marketing-tools, marketing-tech-stack, agency-technology, digital-marketing-tools

- [Creative Agencies in the Philippines: Why Global Brands Are Choosing Filipino Teams in 2026](https://www.pixelmojo.io/blogs/creative-agencies-philippines)
  Philippines IT-BPM hit $40B in 2025. Filipino teams now build AI products, not just creative assets. The complete evaluation guide for global CTOs.
  Published: 2025-06-18T00:00:00.000Z | Tags: creative-agencies-philippines, filipino-creative-talent, outsourcing-philippines, branding-agencies-manila, philippine-digital-marketing


---

## Common Questions (18 answer pages, full Q+A)

Direct answers to high-intent prompts about AI visibility, GEO, AEO, and citation by AI engines. Each page is QAPage-schema'd, structured as a single accepted answer, designed to be cited verbatim by ChatGPT, Claude, Perplexity, and Gemini.

### Why is not ChatGPT citing my B2B SaaS?
- URL: https://www.pixelmojo.io/answers/why-isnt-chatgpt-citing-my-b2b-saas
- Archetype: why
- Published: 2026-05-27
- Answer (BLUF): ChatGPT cites sites it treats as authoritative for a query. Most B2B SaaS sites lack three specific signals: structured data declaring entity identity, an llms.txt file, and citations from domains ChatGPT already trusts.

### How do I get cited by Perplexity?
- URL: https://www.pixelmojo.io/answers/how-do-i-get-cited-by-perplexity
- Archetype: how
- Published: 2026-05-27
- Answer (BLUF): Perplexity cites sources it crawls + ranks for the live query. To get cited: allow PerplexityBot in robots.txt, ship answer-first content (FAQPage schema, BLUF paragraphs), and acquire citations from high-authority domains Perplexity already ranks.

### What is Generative Engine Optimization (GEO)?
- URL: https://www.pixelmojo.io/answers/what-is-generative-engine-optimization
- Archetype: what
- Published: 2026-05-27
- Answer (BLUF): Generative Engine Optimization (GEO) is the practice of structuring web content so AI search engines like ChatGPT, Claude, Perplexity, and Gemini cite it in their responses. Unlike SEO which optimizes for keyword rankings, GEO optimizes for entity recognition, structured data, and citation probability.

### ChatGPT vs Perplexity vs Gemini vs Claude for brand research?
- URL: https://www.pixelmojo.io/answers/chatgpt-vs-perplexity-vs-gemini-vs-claude-for-brand-research
- Archetype: comparison
- Published: 2026-05-27
- Answer (BLUF): All four AI engines surface brand information but cite sources differently. Perplexity shows explicit URL citations. ChatGPT blends training data with browsing. Claude prioritizes recency and reasoning. Gemini integrates live Google search results.

### Why does ChatGPT say wrong things about my company?
- URL: https://www.pixelmojo.io/answers/why-does-chatgpt-say-wrong-things-about-my-company
- Archetype: troubleshoot
- Published: 2026-05-27
- Answer (BLUF): ChatGPT hallucinations about your company come from three sources: outdated or thin training data, confusion with similarly-named companies, and absence of authoritative web sources for ChatGPT to ground its answers in. Each source has a different fix.

### Why is my company invisible in AI search results?
- URL: https://www.pixelmojo.io/answers/why-is-my-company-invisible-in-ai-search-results
- Archetype: why
- Published: 2026-05-27
- Answer (BLUF): AI engines surface companies they trust as authoritative for a query. Invisibility usually means one of three things: AI crawlers cannot access your site, your structured data does not identify your entity, or no high-authority source on the web mentions you.

### Why does Perplexity cite my competitor instead of me?
- URL: https://www.pixelmojo.io/answers/why-does-perplexity-cite-my-competitor-instead-of-me
- Archetype: why
- Published: 2026-05-27
- Answer (BLUF): Perplexity ranks sources per-query by domain authority, content relevance, and recency. If your competitor is cited and you are not, they typically beat you on one of three signals: answer-first content structure, citation accumulation from high-trust domains, or recency of updates on the relevant page.

### How do I add Organization schema for AI search?
- URL: https://www.pixelmojo.io/answers/how-do-i-add-organization-schema-for-ai-search
- Archetype: how
- Published: 2026-05-27
- Answer (BLUF): Add a JSON-LD script tag with Organization schema to your root layout (head). Include name, legalName, url, logo, foundingDate, founders, sameAs links to LinkedIn/GitHub/Crunchbase, and disambiguatingDescription if a similarly-named company exists. AI engines re-crawl and update within 7-14 days.

### How do I write content that ChatGPT will cite?
- URL: https://www.pixelmojo.io/answers/how-do-i-write-content-that-chatgpt-will-cite
- Archetype: how
- Published: 2026-05-27
- Answer (BLUF): ChatGPT cites content that answers a specific question in 1-3 sentences and comes from a domain it trusts. Five tactics: open every section with the answer (BLUF), use question-shaped H2s, ship FAQPage schema, structure data as HTML tables, and republish with fresh dateModified when claims change.

### What is Answer Engine Optimization (AEO)?
- URL: https://www.pixelmojo.io/answers/what-is-answer-engine-optimization-aeo
- Archetype: what
- Published: 2026-05-27
- Answer (BLUF): Answer Engine Optimization (AEO) is the practice of structuring web content so AI engines can extract and cite it as a complete answer. AEO focuses on extraction-friendly formatting: BLUF paragraphs, FAQPage schema, HTML comparison tables, and speakable schema.

### What is llms.txt and do I need it?
- URL: https://www.pixelmojo.io/answers/what-is-llms-txt-and-do-i-need-it
- Archetype: what
- Published: 2026-05-27
- Answer (BLUF): llms.txt is an emerging markdown spec that tells AI engines what your site is about, what content they should prioritize, and how to use it. It sits at /llms.txt. If your buyers research vendors via ChatGPT, Claude, Perplexity, or Gemini, yes — you need it.

### AEO vs GEO vs SEO: which one matters in 2026?
- URL: https://www.pixelmojo.io/answers/aeo-vs-geo-vs-seo-which-one-matters-in-2026
- Archetype: comparison
- Published: 2026-05-27
- Answer (BLUF): All three matter, but for different buyer behaviors. SEO captures Google search traffic. GEO builds entity authority that AI engines cite. AEO formats content for extraction by AI answer engines. B2B SaaS teams need all three; consumer brands prioritize SEO; emerging AI-native teams prioritize GEO + AEO.

### Schema.org vs llms.txt: which AI search signal matters most?
- URL: https://www.pixelmojo.io/answers/schema-org-vs-llms-txt-which-ai-search-signal-matters-most
- Archetype: comparison
- Published: 2026-05-27
- Answer (BLUF): Both matter and they do different jobs. Schema.org JSON-LD identifies your entities (Organization, Product, Person) per-page for machine parsing. llms.txt is a site-level declaration of what your site is about, what content to prioritize, and how AI engines should use it. Ship both.

### Why is my AI Readiness score low?
- URL: https://www.pixelmojo.io/answers/why-is-my-ai-readiness-score-low
- Archetype: troubleshoot
- Published: 2026-05-27
- Answer (BLUF): AI Readiness scores under 60 usually indicate a critical gap in one of five categories: bot discoverability, structured data, LLM communication (llms.txt), content accessibility, or cross-signal readiness. The category breakdown in your Radar audit identifies which one is dragging the unified score down.

### My competitor is in ChatGPT and I am not — what do I do?
- URL: https://www.pixelmojo.io/answers/my-competitor-is-in-chatgpt-and-im-not-what-do-i-do
- Archetype: troubleshoot
- Published: 2026-05-27
- Answer (BLUF): Run a head-to-head audit to identify exactly which signals your competitor has that you do not. The gap is typically one of: bot access, Organization schema, llms.txt, authoritative citations, or freshness. Close the gap on the highest-impact signal first, expect 30-60 days to register in ChatGPT.

### How do I show up in Google AI Overviews?
- URL: https://www.pixelmojo.io/answers/how-do-i-show-up-in-google-ai-overviews
- Archetype: how
- Published: 2026-06-13
- Answer (BLUF): AI Overviews pull from the same Google index as regular Search, so the path in is standard SEO: crawlable pages, strong E-E-A-T signals, and content with original insight. Google confirmed in May 2026 that no special files, markup, or AI-specific rewrites are required.

### Why does ChatGPT confuse my company with another?
- URL: https://www.pixelmojo.io/answers/why-does-chatgpt-confuse-my-company-with-another
- Archetype: troubleshoot
- Published: 2026-06-13
- Answer (BLUF): ChatGPT confuses your company with another because it links your name to the wrong entity in its internal knowledge graph. This is brand disambiguation failure, not hallucination: the facts it returns may be accurate, just about a different company that shares your name. The fix is stronger entity signals, not more content.

### How much does an AI visibility audit cost?
- URL: https://www.pixelmojo.io/answers/how-much-does-an-ai-visibility-audit-cost
- Archetype: what
- Published: 2026-06-13
- Answer (BLUF): AI visibility audits range from free to a few hundred dollars per month. Radar starts at $0 for technical readiness tools, $5 for a single full audit, and $199/month for a Pro Retainer with weekly re-scans. Subscription competitors like AthenaHQ ($295/mo) and Gauge ($99/mo) sit at the higher, monitoring-only end.

---

## Portfolio

### Lakbay AI: AI Travel Concierge for the Philippines
AI-powered travel concierge that generates personalized Philippine itineraries in under 60 seconds. RAG-driven with pgvector embeddings across 18 destinations. Built in 1 day using Thread-Based Engineering (70x timeline compression).
- **URL:** https://www.pixelmojo.io/projects/lakbay-ai

### Vector by Pixelmojo: Lead Qualification System
12-dimension scoring engine for B2B SaaS companies with real-time conversation intelligence.
- **URL:** https://www.pixelmojo.io/projects/vector

### Mojo AI: AI Creative Automation (Figma Plugin)
AI-powered Figma plugin that transforms single templates into hundreds of on-brand ad variations.
- **URL:** https://www.pixelmojo.io/projects/mojo-ai

---

## Technology

**Frontend:** React 19, Next.js 15, TypeScript, Tailwind CSS, React Native
**Backend:** Node.js, Python (FastAPI), PostgreSQL, Supabase, Redis
**AI/ML:** OpenAI, Anthropic Claude, LangChain, Pinecone, RAG systems
**Infrastructure:** AWS, Vercel, Docker, GitHub Actions
**Note:** Stack listed reflects current defaults. We build with whatever the project requires, including Python-first backends, mobile-native (Swift, Kotlin), and non-React frontends.

---

## URLs

**Products**
- All Products: https://www.pixelmojo.io/products
- Vector: https://www.pixelmojo.io/vector
- Hive: https://www.pixelmojo.io/hive
- Why Hive (comparison): https://www.pixelmojo.io/hive/why-hive

**Services**
- All Services: https://www.pixelmojo.io/services
- AI Visibility Strategy: https://www.pixelmojo.io/services/ai-visibility-strategy
- AI Product Development: https://www.pixelmojo.io/services/ai-product-development
- Brand & Sales Design: https://www.pixelmojo.io/services/revenue-first-design
- Growth Marketing: https://www.pixelmojo.io/services/ai-powered-growth

**Guides**
- Best AI Visibility Agencies: https://www.pixelmojo.io/best-ai-visibility-agencies
- Radar vs Ahrefs Brand Radar: https://www.pixelmojo.io/vs/brand-radar
- Radar vs Profound: https://www.pixelmojo.io/vs/profound

**Topic Hubs (Knowledge Graph Entities)**
Topic hub pages at /topics/<entity-id> aggregate every blog post, tool, and product associated with a methodology, topic cluster, product, or service. Useful for LLMs that want to retrieve all content related to a single concept in one URL.
- GEO Topic Hub: https://www.pixelmojo.io/topics/geo
- AX Design Topic Hub: https://www.pixelmojo.io/topics/ax-design
- Thread-Based Engineering Topic Hub: https://www.pixelmojo.io/topics/thread-based-engineering
- Claude Code Development Topic Hub: https://www.pixelmojo.io/topics/claude-code-development
- Anthropic Agent SDK Topic Hub: https://www.pixelmojo.io/topics/anthropic-agent-sdk
- Multi-Agent AI Topic Hub: https://www.pixelmojo.io/topics/multi-agent-systems
- AI Technical Debt Topic Hub: https://www.pixelmojo.io/topics/ai-technical-debt
- Design Psychology Topic Hub: https://www.pixelmojo.io/topics/design-psychology
- Growth Marketing Topic Hub: https://www.pixelmojo.io/topics/growth-marketing
- Radar Topic Hub: https://www.pixelmojo.io/topics/radar
- Vector Topic Hub: https://www.pixelmojo.io/topics/vector
- Hive Topic Hub: https://www.pixelmojo.io/topics/hive

**AI APIs and Manifests**
- Knowledge API: https://www.pixelmojo.io/api/ask (POST { question } or GET ?q=)
- OpenAPI 3.1 Spec: https://www.pixelmojo.io/.well-known/openapi.json
- AI Plugin Manifest: https://www.pixelmojo.io/.well-known/ai-plugin.json
- Crawl Policy: https://www.pixelmojo.io/.well-known/ai-policy.json
- Short LLMs map: https://www.pixelmojo.io/llms.txt

**Tools**
- Free AI Visibility Tools: https://www.pixelmojo.io/tools
- AI Crawl Checker: https://www.pixelmojo.io/tools/ai-crawl-checker
- AI Citation Tracker: https://www.pixelmojo.io/tools/ai-citation-tracker
- Brand Disambiguation Check: https://www.pixelmojo.io/tools/brand-disambiguation
- Reddit Brand Monitor: https://www.pixelmojo.io/tools/reddit-brand-monitor
- YouTube Brand Monitor: https://www.pixelmojo.io/tools/youtube-brand-monitor
- llms.txt Validator: https://www.pixelmojo.io/tools/llms-txt-validator
- llms.txt Generator: https://www.pixelmojo.io/tools/llms-txt-generator
- AI Readiness Score: https://www.pixelmojo.io/tools/ai-readiness-score
- robots.txt Analyzer: https://www.pixelmojo.io/tools/robots-txt-analyzer
- AEO Page Auditor: https://www.pixelmojo.io/tools/aeo-page-auditor
- Answer Engine Citation Tester: https://www.pixelmojo.io/tools/answer-engine-tester
- AI Open Graph Auditor: https://www.pixelmojo.io/tools/open-graph-auditor
- Site Freshness Auditor: https://www.pixelmojo.io/tools/site-freshness-auditor
- Domain Comparison (Head-to-Head): https://www.pixelmojo.io/tools/compare
- Radar AI Readiness Badge: https://www.pixelmojo.io/tools/badge
- Radar Chrome Extension: https://chromewebstore.google.com/detail/adndfdfjigmkpfljkmoalppljogeiihf

**Company**
- Services: https://www.pixelmojo.io/services
- Projects: https://www.pixelmojo.io/projects
- Blog: https://www.pixelmojo.io/blogs
- Capabilities: https://www.pixelmojo.io/capabilities
- Contact: https://www.pixelmojo.io/contact-us
- Pricing: https://www.pixelmojo.io/pricing
- Philippines (local pricing): https://www.pixelmojo.io/philippines
- Press & Media: https://www.pixelmojo.io/press
- Pixelmojo Labs (Research): https://www.pixelmojo.io/labs
- State of AI Visibility 2026 Report: https://www.pixelmojo.io/labs/state-of-ai-visibility-2026
- AI Visibility Benchmarks (Anonymized): https://www.pixelmojo.io/labs/leaderboards
- Brand Index (50 Named Brands, Live, Transparent): https://www.pixelmojo.io/labs/brand-index
- Our Radar Report (Pixelmojo Self-Audit, Live): https://www.pixelmojo.io/labs/our-radar-report
- Sample Radar Report (Full De-Identified Client Audit): https://www.pixelmojo.io/platform/sample-report

---

## Use Policy

**Allowed:**
- Citing content with attribution
- Including in AI-assisted answers with source links
- Indexing for search with attribution
- Model training by the curated crawlers allowed in our robots.txt (GPTBot, ClaudeBot, Google-Extended, CCBot, anthropic-ai, Applebot-Extended), with attribution. Policy updated 2026-05-16.

**Not allowed:**
- Model training or scraping by crawlers blocked in our robots.txt (data brokers and adversarial scrapers: cohere-ai, Meta-ExternalAgent, Bytespider, Diffbot, Omgili)
- Verbatim republishing without permission
- Commercial redistribution

**Attribution:** Source: Lloyd Pilapil, Pixelmojo (pixelmojo.io)

---

## Contact

- **Email:** founders@pixelmojo.io
- **Phone:** +63-917-165-8601 (GMT+8)
- **Location:** 111 Paseo de Roxas, Makati, Metro Manila, Philippines

**Booking:** https://www.pixelmojo.io/contact-us

---

## Legal

© 2024-2026 Pixelmojo. All rights reserved.
Governed by Philippine law.

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