Enter a page URL and get an AEO-readiness grade — the structure and signals AI engines need to quote and cite you, with a fix-list.
Paste a URL and the grader inspects the on-page signals that decide whether an AI engine can cleanly quote and cite your page: a single clear H1, descriptive H2 section headings, a concise meta description, enough substantial on-topic text, and structured data (JSON-LD). It returns a letter grade and a checklist of the exact items to fix first.
Answer engines extract and paraphrase content, so structure beats keyword stuffing. Pages that are easy to parse — clear headings, direct question-and-answer passages, FAQ schema, and unambiguous entities — are the ones models lift into their answers. The grader turns those best practices into a score you can act on.
Clear structure the model can parse and quote: one H1, descriptive H2 sections, a concise meta description, substantial on-topic text, and structured data (JSON-LD). FAQ schema is especially useful because it maps directly to how AI answers questions.
Yes. JSON-LD tells engines exactly what a page is — a product, an organization, an FAQ — which makes your content easier to extract and attribute. Our Schema generator can create it for you.
Aim for A or B. Most gaps are quick fixes: adding a meta description, a single clear H1, section headings, and JSON-LD. Fix the ✕ items first — they’re usually the cheapest wins.
Competitors, citations and the fixes that move you into the answer — see it in a live demo.
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