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Will AI recommend this page?
Six deterministic checks AI engines actually use when deciding what to cite: direct-answer lede, JSON-LD schema, heading hierarchy, authoritative outlinks, freshness signal, numeric-facts density.
The citation-readiness rubric
| Signal | Weight | Why AI cares |
|---|---|---|
| Direct-answer lede | High | Engines lift the first self-contained answer paragraph |
| JSON-LD schema | High | Machine-readable page type and entity signals |
| Heading hierarchy | Medium | Clean H2/H3 structure is how retrieval chunks your page |
| Numeric facts & stats | Medium | Concrete numbers get quoted; vague claims don't |
| Authoritative outlinks | Medium | Citing sources marks the page as researched |
| Freshness signal | Medium | Dated or stale pages lose to updated competitors |
Frequently asked questions
What makes AI recommend a page?
AI assistants cite pages that lead with a direct answer, use clear headings, include statistics, add schema markup, stay fresh, and link to authoritative sources. This tool scores your URL or copy against that rubric.
Can I score a page that isn’t live yet?
Yes - paste the raw copy instead of a URL and the tool scores the text on the same citation-readiness rubric, so you can fix a draft before you publish it.
What’s the difference between this and an SEO checker?
An SEO checker grades you for Google’s ranking signals; this tool grades you for AI citation signals such as answer-first structure and entity coverage. The two overlap but are not the same.
Related reading
Getting cited by AIThe practical playbook for becoming a source AI assistants quote.Read the guide →Why AI fix prompts matterHow paste-ready prompts turn an audit finding into a shipped fix in minutes.Read the guide →How scoring worksWhat our SEO and AEO scores measure, and what moves them.Read the guide →
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