Paste a page URL and get a 0-100 citability score for AI answer engines like ChatGPT, Perplexity, and Google AI Overviews. The score comes from 26 measured checks across six categories, not from an AI's opinion, so the same page always scores the same and you can re-run it to see whether a change actually helped. Every failed check tells you the fix and what it's worth.
Must be a public page, logins and localhost can't be reached.
The rules the audit grades against. Getting cited is mostly about making one specific passage easy to lift and easy to trust.
Answer Engine Optimization: structuring content so AI systems can read, understand, and quote it inside a generated answer. Traditional SEO competes for a position in a list of links; AEO competes to be the passage the assistant actually cites.
26 deterministic checks in six weighted categories: Direct answers (25 points), Structured data (20), Content structure (15), Metadata (15), Trust & freshness (15), and Crawlability (10). Each check either passes or fails based on what's measurably in the page, so the score is reproducible, the same page always returns the same number.
No. The score and every check are computed in code from the page's own HTML. AI is used only for the short content-notes section at the end, which reviews whether your prose is actually quotable, the one thing code can't judge. The number never depends on the model.
The "Fix these" list is ordered by points recoverable, so start at the top. Direct answers and structured data carry the most weight because they map most directly onto how an answer gets assembled.
Ranking and being cited are different problems. A page can rank on links and authority while still being hard to quote, long paragraphs, no direct answer near the top, no schema. Those are exactly the checks that fail here.