Radar
Also known as: Radar by Pixelmojo, Decision-stage AI visibility, AI Visibility Platform, AI Visibility DIY Platform
Radar measures answer-stage AI visibility (whether ChatGPT, Claude, Gemini, and Perplexity mention and cite your brand, with suggested fixes) 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, fresh queries to the provider APIs of all four engines (consumer AI apps may answer differently), 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. Buying-question testing is not unique to Radar: platforms such as Profound and Ahrefs Brand Radar also track purchase-intent and recommendation prompts. Monitoring tracks AI answers over time, while a Radar audit pairs technical readiness checks with sampled AI answers and shows the evidence and a suggested fix behind each finding. 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. Radar orchestrates 13 tools in staged batches, running lightweight checks concurrently while isolating provider-intensive checks for reliable evidence collection (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, plus weekly AI answer monitoring of up to 12 questions for one site, set up with Pixelmojo, with page improvements. 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 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.
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/platformArticles (61)
How Should an Agency Scope an AEO Audit?
Before an AEO audit runs, agree what it covers: the client decision, pages, buyer questions, checks and engines. A scope sheet informed by our own Radar runs.
Oct 30, 2026
Your Next SEO Task Needs a Reason: Write an Action Brief
Turn one SEO or AI visibility finding into a task with a reason: evidence, an owner, the fix and an acceptance check, worked through our own Radar audit.
Oct 20, 2026
Why Radar Scores May Move After Our ChatGPT Model Change
OpenAI is retiring the gpt-4o-mini snapshot Radar used, so Radar's ChatGPT results now use gpt-6-luna. What we tested, what we fixed, and why scores may move.
Oct 16, 2026
Is This AI Report About Your Client's Business?
Before you act on an AI visibility identity finding, check whose business it describes. Four checks for agencies, in order, tested on a wrong-company audit.
Oct 15, 2026
The Evidence Standard Every AI Visibility Report Should Meet
Our proposed AI Visibility Evidence Standard, v1: eight things every AI visibility report should disclose, tested on a real Radar audit of our own site.
Sep 25, 2026
One Page, 64,191 Impressions, Zero Clicks in 87 Days
A page took 64,191 Search Console impressions and zero clicks in 87 days. What the data shows, what it cannot show, and why it explained none of our lost traffic.
Sep 10, 2026
The Directed Grid: How AI Should Work Inside a B2B Company
AI in a B2B company should run as a directed loop: a human sets the question, Radar measures, Vector qualifies, Hive builds, and a human decides. Full model.
Aug 23, 2026
Before You Hire a GEO Agency: 4 Green Flags and 5 Red Flags
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.
Aug 2, 2026
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.
Jul 31, 2026
We Audit AI Visibility for a Living. So We Audited Ourselves.
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.
Jul 22, 2026
AEO Score Explained: What It Measures and How to Improve It
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.
Jul 18, 2026
Decision-Stage AI Visibility: The Engines Buyers Ask
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.
Jul 12, 2026
What Does Grok Say About Your Brand? We Checked. It Got Ours Wrong.
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.
Jul 9, 2026
No Brand Controls Its AI Recommendations. Measure This Instead
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.
Jun 28, 2026
AI Visibility Is an Evidence Architecture Problem, Not a Content Volume Problem
Publishing more content will not make you visible in AI answers. Evidence architecture, your claims, entities, sources, and structure, is what gets you cited.
Jun 27, 2026
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.
Jun 25, 2026
Google Preferred Sources: The User-Controlled AEO Lever
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.
Jun 23, 2026
Google Says You Don't Need llms.txt. Here's the Catch.
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.
Jun 12, 2026
Brand Disambiguation: When AI Confuses Your Brand With Someone Else
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.
Jun 5, 2026
Reddit Brand Monitor: What AI Learns About You on Reddit
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.
Jun 4, 2026
YouTube Brand Monitor: What AI Hears About Your Brand
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 models may draw on.
Jun 4, 2026
How Radar Fix Prompts and the AI Advisor Fix Your AEO
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.
Jun 3, 2026
Why 9 in 10 Websites Fail AEO (And How to Fix It)
We analyzed 59 real AEO audits from the Radar platform. The average score is 26 out of 100 and 9 in 10 sites scored below 40. Here is why, and how to fix yours.
Jun 3, 2026
AI Monitoring vs AI Technical Readiness: Why You Need Both (2026)
AI monitoring tracks what AI says about your brand. AI technical readiness checks whether AI can reach and read your site. Some tools now do both. Here is how the stack fits together.
May 29, 2026
AI Agency Code Ownership: Hire Without Lock-In
AI agencies that retain your IP can cost several times more over 3 years. Contract clauses, red flags, and the Build + Platform + Performance model that ends vendor lock-in. 2026 guide.
May 27, 2026
Gemini, YouTube and AI Visibility: A Dated Note on What Changed and When
A dated note on Gemini 2.5 and YouTube video understanding: the real 2025 dates, what our YouTube Brand Monitor measures, and the claims we withdrew in October 2026.
May 15, 2026
Radar Assessed 50 Known Brands for AI Readiness. Scores Ran From 4 to 88.
First findings from the Radar Brand Index. 50 named brands assessed with Radar's AI Readiness Score. Stripe and BetterUp lead at 88/100. Hims and Hers hit 4/100. Radar could not scan three of them at all. Here is what the data says.
May 9, 2026
Your AI Visibility Score Is Meaningless Without Live LLM Queries
Static AI SEO checks never query an LLM. They infer visibility from proxies. Static analysis cannot tell you what ChatGPT says about your brand. Only asking ChatGPT can.
May 5, 2026
From Free Check to AI Visibility Strategy: Which Next Step Fits Your Team?
After a free AI visibility check: when one $5 audit is enough, when a pack or Pro fits, and when to hand the work to a strategy sprint. Prices as of October 2026.
Apr 22, 2026
Radar is GA: A 6-Tool Free Tier, $199 Retainer, and What We Shipped
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.
Apr 19, 2026
One Audit, 13 Tools: What Radar Finds That Separate Checks Miss
How a Radar audit runs 13 AI visibility tools in staged batches, reads their results together, and orders the fixes. What one audit catches that separate checks miss.
Apr 15, 2026
We Analyzed 82 Real AI Visibility Audits. Here Is What the Data Shows.
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.
Apr 12, 2026
How to Track AI Citations: A Practical Guide to 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.
Apr 11, 2026
Best AI Visibility Tools (2026): 10 Options Compared
Compare 10 AI visibility tools with pricing checked in September 2026: engines tracked, AI crawler and llms.txt checks, free options, and how to choose.
Apr 10, 2026
Your SEO Is Fine. Your AI Visibility Needs Its Own Measurement.
Rankings and backlinks do not show what ChatGPT, Claude, Gemini or Perplexity say about you. What SEO tools measure, what AI answers need, and how to check both.
Apr 9, 2026
What Is AI Technical Readiness? (And Why Monitoring Alone Is Not Enough)
AI Technical Readiness is the infrastructure layer that ensures AI can crawl, parse, and cite your site. Monitoring shows symptoms. Technical readiness checks the infrastructure behind them.
Apr 8, 2026
Why We Built Radar: The Commit Trail Behind Our Own AI Visibility Fixes
How fixes on our own site became Radar, told from the git history: what we changed from October 2025 to March 2026, and what that history cannot prove.
Apr 5, 2026
Radar's First Beta Weeks: What Our Records Show (Dated Note)
A dated note on Radar's private beta, 16 March to 2 April 2026: who requested access, what we recorded, and why we withdrew the "50 users" figure.
Apr 2, 2026
Ghost Protocol: Multi-Agent Engineering Framework for GitHub Copilot
Ghost Protocol gives GitHub Copilot a team of 8 named specialist agents running 9 disciplined execution patterns. One installer script. Agents execute, leave clean results, disappear.
Apr 1, 2026
Radar v2: From Technical Audit to AI Intelligence Platform
Radar now runs 13 AI visibility tools in staged batches 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.
Mar 30, 2026
We Built 2 Tools to Test If AI Engines Cite Your Pages
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.
Mar 28, 2026
How to Use Radar: Free Check, Full Audit, and AI Visibility Fixes
How to use Radar as of October 2026: run the free technical check, unlock the full 13-tool audit, read the evidence in AI answers, and turn findings into fixes.
Mar 28, 2026
How We Retrofitted 21 Posts With StatBlocks and Speakable Schema (Dated Note)
A dated note on our 27 March 2026 blog retrofit: what we changed in 21 posts, what we expected it to do for AI citations, and what the evidence since says.
Mar 27, 2026
How We Built a Multi-Channel AI Sales Agent in 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.
Mar 25, 2026
Thread-Based Agentic Experience Engineering [TBE + AXD]
The unified framework connecting Thread-Based Engineering to Agentic Experience Design. How thread autonomy levels map to trust patterns and supervision models.
Mar 23, 2026
AI Visibility Stack: How We Monitor SEO, GEO and LLMs (2026)
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.
Mar 22, 2026
We Built a Platform to Run Our AI Search Playbook in One Audit
Radar by Pixelmojo runs 13 AI visibility tools in staged batches, generates cross-tool insights, and produces AI-ready implementation prompts you paste into Claude, ChatGPT, or Cursor.
Mar 17, 2026
The AI Discoverability Stack: Four Features That Make Our Site Machine-Readable
Four features we built so AI agents and search engines can read our site directly: connected JSON-LD, an MCP endpoint, a knowledge API and one-source FAQ.
Mar 4, 2026
10 Free AI Visibility Tools to Test Your Site (2026)
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.
Feb 27, 2026
AI Product Development in the Philippines: Why Global CTOs Are Building Here
The Philippines AI development market is not about cheaper rates. It is about owned products, senior methodology-driven teams, and a timezone you can plan around. A practical evaluation framework for CTOs.
Feb 25, 2026
The Junior Developer Extinction Problem: Why AI Technical Debt Needs 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.
Feb 25, 2026
How We Built a Knowledge Graph That LLMs Actually Cite (With 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.
Feb 25, 2026
What Is an AI-Native Agency? Definition & Examples
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.
Feb 25, 2026
Claude Code Hooks: Corrections to Our February 2026 Guide (Dated Note)
A dated note on our February 2026 Claude Code hooks guide: why its config examples would not have worked, the correct shape from the official reference, and what we run instead.
Feb 14, 2026
Context Engineering Beyond CLAUDE.md: The 5-Layer Hierarchy
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.
Feb 14, 2026
Slopsquatting and AI Supply Chain Attacks: A Defense Guide
AI tools hallucinate 19.7% of package names. Attackers register them as malware. Learn how slopsquatting works and layered defense strategies.
Feb 14, 2026
Lakbay AI: What We Built and What We Withdrew (Dated Note)
A dated note on our February 2026 Lakbay AI case study: what the travel concierge is, what its repository history shows, and the timeline, speed and security claims we withdrew.
Feb 8, 2026
Thread-Based Engineering: How We Keep AI-Assisted Code Reviewable
How we govern AI-assisted development: two mandatory human checkpoints, the gates every change passes before it merges, and what the 2025 data says about AI code. As of October 2026.
Feb 1, 2026
Thread-Based Engineering: The Framework for Scaling AI Development
The definitive guide to Thread-Based Engineering: 7 thread types, governance alignment, a production case study (Lakbay AI), and the research on AI code quality, including the Veracode finding that models failed to write XSS-safe code 86% of the time.
Jan 24, 2026
Creative Agencies in the Philippines: Why Global Brands Are Choosing Filipino Teams in 2026
Philippines IT-BPM hit $40B in 2025. Filipino teams now build AI products, not just creative assets. The complete evaluation guide for global CTOs.
Jun 18, 2025
كيف تظهر شركتك في إجابات الذكاء الاصطناعي؟ دليل للشركات في السعودية والخليج
خطوات عملية لمعرفة ما تقوله نماذج الذكاء الاصطناعي عن شركتك: صياغة سؤال المشتري، وقراءة الإجابة ومصادرها، وتحديد فجوة واحدة، ثم إعادة الفحص بالشروط نفسها.
Oct 24, 2026
Common questions (3)
Why is my AI Readiness score low?
Low AI Readiness tool scores reflect missing evidence across five categories: bot discoverability (30 points), structured data (25), LLM communication (25), content accessibility (15), and cross-signal readiness (5). Review the category breakdown for lost points. This tool score differs from the overall Radar dashboard average.
How much does an AI visibility audit cost?
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 and weekly AI answer monitoring for one site. Subscription competitors like AthenaHQ ($295/mo) and Gauge ($99/mo) sit at the higher, monitoring-only end.
What is AI visibility?
AI visibility is whether AI engines like ChatGPT, Claude, Perplexity, and Gemini can find, describe, and recommend your brand when buyers ask about your category. It has two layers: the answer stage, whether you appear and get cited, and the decision stage, whether you are the name the engine picks.
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