Free AI search audit for ChatGPT, Perplexity, and AI Overviews
Ranking is no longer the only outcome that matters. This audit scores whether an answer engine can retrieve, parse, trust, and cite your page, then lists the exact fixes in priority order.
What the AI search audit checks
Answer-ready passages
Detects self-contained passages a model can quote without surrounding context, and flags sections that only make sense after reading the whole page.
Chunkability and entity clarity
Checks heading structure, passage length, and whether your brand, product, and topic entities are named explicitly instead of hidden behind pronouns.
Machine-readable proof
Validates JSON-LD and microdata with source locations, plus statistics, citations, author and freshness signals that support E-E-A-T.
AI crawler access
Reviews robots.txt rules for AI user agents, llms.txt presence and validity, render mode, and whether your content exists without JavaScript.
How to read your AI visibility score
- Start with the GEO category score: it aggregates answer-readiness, chunkability, entity clarity, and citation signals.
- Work the priority fixes top down. Each one names the failing element and where it appears in your HTML.
- Repair machine-readable files first: robots.txt, sitemap.xml, and llms.txt are prerequisites for the rest.
- Re-run the audit after deploying and share the report link with your team or client.
What the report looks like
A shortened example of the GEO section from a real report. Every finding names the signal, the verdict, and the fix.
| Signal | Verdict | What the report tells you |
|---|---|---|
| Answer-ready passages | Fix | 2 of 9 sections are self-contained. The pricing section relies on the paragraph above it. |
| Chunkability | Pass | Average section length 96 words under descriptive H2s, which splits cleanly for retrieval. |
| Entity clarity | Fix | The product is referred to as 'the platform' 11 times without naming the brand entity. |
| AI crawler access | Pass | GPTBot, PerplexityBot and ClaudeBot are allowed, and content renders without JavaScript. |
| llms.txt | Fix | No /llms.txt found. Generate one and host it at the domain root. |
| Stats, citations and freshness | Fix | No dated claims or outbound sources found, and no visible last-updated date. |
The full report adds technical SEO, content quality, structured data validation with source locations, keyword clusters, internal linking, accessibility, and security, plus a shareable link you can send to a client.
AI search audit FAQ
What is an AI search audit?
An AI search audit measures whether an AI answer engine can find, parse, trust, and cite your page. It scores answer-ready passages, content chunkability, entity clarity, structured data, E-E-A-T signals, statistics and citations, freshness, llms.txt, and crawler access for AI user agents.
How is an AI search audit different from an SEO audit?
A classic SEO audit optimizes for ranked links: titles, meta, canonicals, internal links, and Core Web Vitals. An AI search audit optimizes for extraction and citation: whether a model can lift a self-contained answer from your page and attribute it to you. IMVASA Audit Tool runs both in one pass.
Which AI engines does the audit model?
The checks are engine-agnostic but map to how ChatGPT Search, Perplexity, Google AI Overviews, Gemini, and Claude retrieve and cite pages: crawlability for their user agents, chunk-level answer quality, and verifiable entity and source signals.
Is the AI search audit free?
Yes. Every check runs free, with no signup, and each report gets a public shareable link.
Built by Vasa, a GEO and AEO specialist helping SaaS startups improve AI search visibility. More work at imvasa.dev.