GEO Audit Tool

Search Engine Optimization

GEO Audit Tool

Is this page easy for AI to read and cite?

Enter a URL to check it against 9 signals that matter for AI answer engines like ChatGPT, Perplexity, and Google AI Overviews — separate from classic search-engine SEO.

Audit a page
Reads the live server response for this URL — the same way most AI crawlers do. JavaScript-only content won't be seen.
GEO score
0/ 100
Recent audits (stored in this browser)
How this works
What "GEO" meansGenerative Engine Optimization — optimizing content to be understood, extracted, and confidently cited by AI answer engines, alongside (not instead of) classic SEO.
No JavaScript executionThe audit reads the raw server response, like most crawler bots do. Content that only appears after client-side rendering won't be seen or scored.
Heuristic checksDirect-answer, byline, and date detection are pattern-based approximations, not a guarantee of how any specific AI system treats the page.
Simplified robots.txt readChecks a fixed list of known AI crawler names against Disallow rules — not a full path-matching robots.txt parser.
History is localRecent audits are stored only in this browser's local storage, not on any server.

About GEO Audit Tool

GEO Audit Tool checks a page the way an AI answer engine effectively "reads" it, rather than the way a classic search-engine crawler scores it. Generative Engine Optimization (GEO) is the newer, related discipline to SEO: instead of optimizing mainly to rank in a list of blue links, it looks at what makes content easy for tools like ChatGPT, Perplexity, Google AI Overviews, or Gemini to understand, extract, and confidently cite in a generated answer. Enter a URL and the tool fetches the live page and checks it against nine of the signals that matter most for that: a clear, quotable direct-answer near the top, structured data (schema.org JSON-LD), a sensible heading hierarchy and question-phrased headings, content depth, extractable lists and tables, author/date signals, outbound citations, title and meta description quality, and whether known AI crawlers are blocked in robots.txt.

Each check comes back as a pass, warning, or fail with a plain-language explanation of what was found and why it matters, plus an overall score out of 100 so you can track a page over time or compare a few pages at once. The tool also does a best-effort read of /llms.txt on the same domain - an emerging, still-informal convention some sites use to describe their content to language models directly - and reports whether one exists without penalizing pages that don't have it, since it isn't (yet) a settled standard.

Being upfront about the limits: this reads the raw HTML a normal server response returns, the same way most AI crawlers do - it does not execute JavaScript, so a page whose real content is rendered client-side after load may score lower here than it "looks" in a browser. The direct-answer, byline, and date checks are pattern-based heuristics, not a guarantee of how any specific AI system will actually treat the page; and robots.txt is read with a simplified, common-bot-name check rather than a full path-matching parser. Treat the results as a solid, fast starting checklist, not a certified score.



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