
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.
Most sites were built for Google, not for how AI reads the web, so engines misread your brand, cite the wrong facts, or skip you. Radar audits why and hands you the exact fix for each issue. Free to start, first audit in 60 seconds.
Overview
Tools
Reports
Crawl access strong (92) but llms.txt missing key entity definitions — bots reach the site, can't map the brand.
Summary
Unified score across 13 tools
Composite: bots · robots.txt · llms.txt
Click a bar to view in Actions tab
Live dashboard preview. Actual results from your domain.
Install the Radar Chrome extension and click the icon on any site for an instant 6-tool readiness check. Free, anonymous, one audit per domain.
Most tools watch what AI says about you. Radar is the only one that makes AI read you correctly in the first place.
Crawl check, robots.txt, llms.txt, AI readiness, citations, Reddit, AEO, citation test, source influence, SOV, schema audit, hallucination check, and brand disambiguation. All run in parallel.
Finds conflicts no single tool can see. Blocking AI bots but expecting citations? Good crawlability but no llms.txt? We surface it.
Actions grouped into 5 structured fix threads: Crawlability, Structured Data, LLM Communication, Content Authority, and Citation Building. Each step generates an AI prompt you paste into Claude, ChatGPT, or Cursor.
AI Crawl Check
Tests 13 AI and search bot user-agents for access
~15s per scan
Robots.txt Analyzer
Deep parse of robots.txt rules for 16 bots
~10s per scan
llms.txt Validator
Validates structure, sections, links, entities
~10s per scan
AI Readiness Score
5-category audit across all AI dimensions
~20s per scan
Citation Tracker
Queries ChatGPT, Claude, Gemini, Perplexity
~30s per scan
Reddit Monitor
Discovers mentions, detects seeded content
~25s per scan
AEO Page Auditor
Scores page AEO readiness across 6 categories
~15s per scan
Citation Tester
Tests if AI platforms cite your page for a question
~45s per scan
Source Influence
Maps top domains shaping AI narratives in your category
~40s per scan
Prompt SOV
Share of voice in AI recommendations for your category
~45s per scan
Schema Audit
Validates JSON-LD structured data across schema types
~15s per scan
Hallucination Check
Detects factual errors in AI claims about your brand
~40s per scan
Brand Disambiguation
Checks if AI links your brand to the right entity, not a same-named one
~40s per scan
Every action item generates a context-rich prompt pre-filled with your audit data. Copy it into Claude, ChatGPT, or Cursor and implement the fix. Includes llms.txt and schema markup generators.
Built-in chat powered by our knowledge graph. Ask questions about your results, get strategy advice grounded in your audit data.
Run the same audit on a competitor domain. Side-by-side score comparison across all 13 tools.
Re-run any single tool to verify your fix worked. Track thread progress across sessions with persistent checkboxes.
In-house SEO teams
Audit your domain, generate AI-ready prompts for each fix, and hand structured implementation threads to your dev team. Re-verify each fix without a full re-audit.
SEO agencies
Audit client domains, export PDF reports, compare against competitors. Generate implementation prompts your clients can use with their own AI tools.
Content strategists
Understand how AI search engines see your content. Generate starter llms.txt files and schema markup from your audit data. Fix content structure with guided AEO prompts.
Founders building in public
Check if AI search engines can find your product. Follow the 5 implementation threads step by step to go from invisible to cited. No SEO expertise needed.
Why we built this
In October 2025, ChatGPT was hallucinating about our services. Perplexity didn't know we existed. Over 6 months and 516 commits, we fixed every AI visibility issue manually. Then we packaged those fixes into Radar so you don't have to.
0/4
LLMs citing us (Oct 2025)
4/4
LLMs citing us (Mar 2026)
516
git commits of proof
Yes. Your first full 13-tool audit is free with no credit card. Includes all DIY features: implementation threads, AI prompt generator, llms.txt generator, and schema markup generator. Need more audits? Audit packs start at $5, or Pro Retainer $199/mo for 40 audits plus weekly pulse re-scan. See pricing at pixelmojo.io/platform/pricing.
Radar groups your action items into 5 structured fix threads: Crawlability, Structured Data, LLM Communication, Content Authority, and Citation Building. Each thread has ordered steps with AI-ready prompts. You follow them in sequence, checking off steps as you go, with progress saved across sessions.
Every action item has a "Generate AI Prompt" button. It produces a context-rich prompt pre-filled with your actual audit data: your blocked bots, your missing schema types, your citation rates, your domain. Copy it into Claude, ChatGPT, or Cursor and get implementation done.
Radar queries ChatGPT, Claude, Perplexity, and Gemini directly for citation tracking, share of voice, and hallucination detection.
About 60 seconds for individual tool runs. Full 13-tool audits run all tools in parallel and typically finish in 1-3 minutes depending on your site complexity and how quickly each LLM responds. Free audits run 6 technical readiness tools and complete faster. Results stream in as each tool completes, so you can start reading without waiting for the slowest one.
Free (6 tools): AI bot crawl check, robots.txt analyzer, llms.txt validator, schema markup audit, AEO page auditor, AI Readiness score. Paid (6 more): citation tracking across ChatGPT/Claude/Gemini/Perplexity, Reddit brand monitoring, hallucination detection, prompt SOV, source influence mapping, answer engine per-page testing.
Semrush and Otterly are monitoring tools that track brand mentions over time. Radar is a DIY audit-and-fix platform: deep technical scan across 12 dimensions, plus AI-ready implementation prompts for every issue it finds. Most teams use Radar to audit and fix, then a monitoring tool to track changes.
Yes. Every completed tool has a Re-verify button. Fix your robots.txt and re-run just the Crawl Check in 15 seconds. No need to re-run all 13 tools.
We built Radar for ourselves first. In October 2025, AI was hallucinating about our own brand. We spent 6 months and 516 git commits fixing our AI visibility manually, then automated those fixes into Radar. Every feature maps to a real problem we hit. Read the full origin story at pixelmojo.io/blogs/ai-visibility-stack-origin-story.
Start with Radar DIY: the implementation threads and AI prompts handle most fixes. For complex strategy or ongoing optimization, we offer an AI Visibility Strategy service ($4,500 sprint + retainer) where our team handles everything.
Run a free audit across 6 technical readiness tools. Unlock citation tracking across 4 LLMs, Reddit monitoring, and hallucination detection with any paid plan.
Want us to handle it for you?
AI Visibility Strategy: $4,500 sprint + retainerOur most-cited deep dives on AI search visibility, plus what we shipped this month.

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.

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