Why we built this

Search is no longer just a results page. ChatGPT, Claude, Gemini, and Perplexity now read websites directly and decide what to cite, quote, and recommend. Most sites were built for traditional search crawlers and human visitors, not for the crawlers and parsers behind these AI systems, and it shows in ways a normal SEO audit does not catch: pages an LLM crawler cannot fetch, content structure it cannot parse into passages, and schema it cannot use to attribute a claim.

AI Search Audit exists to make that gap visible. We scan a site the way an AI crawler would, score what we find against a fixed set of checks, and hand back specific, actionable fixes instead of a vague grade.

How it works

The scanner fetches a site's homepage and the files served at its root, then evaluates them against 27 deterministic checks spanning crawlability, metadata, structured data, AI readiness, content retrieval, and trust signals — the same categories AI crawlers rely on to decide whether a page is worth reading and citing. Every check is rule-based, not AI-generated judgment, so a given page scores the same way every time you run it.

Each report also shows exactly which AI crawlers can reach your site, separating the ones that fetch pages for answers and citations from the ones that collect training data — because blocking the second is a legitimate editorial choice, and only the first affects whether an assistant can cite you.

What we won't promise

We do not claim to guarantee AI rankings, citations, or visibility — no one controls what a model chooses to cite. What we do provide is a clear, repeatable measure of the technical barriers within your control, and the fixes to remove them.

Get in touch

Questions, feedback, or a bug to report? Reach us at support@aisearchaudit.pro. For security-specific reports, see our security page.