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AI Citation Checker

Measure how citation-worthy a page is for AI answer engines. Grades the signals LLMs use to quote and attribute sources — direct answers, statistics, outbound citations, author/date, schema and clear structure — with concrete ways to earn more AI citations.

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Quick answer

The AI Citation Checker measures how citation-worthy a single page is for AI answer engines — in other words, how likely an LLM is to quote it and attribute the source back to you. It fetches the page live and grades the qualities models look for when they pick a passage to cite: direct answers, hard evidence, visible trust signals and enough depth to be quotable. You get a citation-worthiness score out of 100 and concrete, page-level ways to earn more AI citations.

How it works

  1. Enter the exact page URL you want to grade (for example https://example.com/guide) and, optionally, your brand name.
  2. The tool fetches the page live and extracts its headings, passages, structured data and metadata.
  3. It scores four dimensions — direct answers, evidence & data, trust signals and depth & quotability — the way an AI would weigh them.
  4. Each dimension is combined into a single citation-worthiness score out of 100 with per-category sub-scores.
  5. You receive a prioritized list of concrete edits that make the page easier to quote and attribute.

What it checks

  • Direct answers — concise, self-contained passages, question-based headings and clear "X is…" definitions a model can lift verbatim.
  • Evidence & data — statistics, concrete figures and specific numbers that give the answer authority.
  • Outbound citations — links to authoritative sources and named expert quotes that back up your claims.
  • Trust signals (E-E-A-T) — a named author, visible publish and update dates and clear provenance.
  • Structured data — JSON-LD, Article and FAQ schema that help models understand and attribute the page.
  • Depth & quotability — substantial length plus lists and tables that package facts into quotable chunks.

Why it matters

When an AI answers a question, it quotes short, well-sourced passages and links back to the pages it trusts — and those citations are the new referral traffic. A page can rank well in classic search yet never get cited by AI because its answers are buried in long prose, lack data, or hide who wrote them. Making a page citation-worthy puts your brand inside AI answers as the named, linked source, earning visibility and authority that competitors without citable content simply can't reach.

How to improve your score

Lead each section with a two-to-four sentence answer that stands on its own, and phrase headings as the questions users actually ask. Back your claims with concrete numbers, cite authoritative outbound sources and add a named author with a visible publish and update date. Add Article and FAQ JSON-LD, and break dense facts into lists or tables so a model can grab a clean, quotable chunk. Re-run the checker after each edit to confirm your citation-worthiness score is climbing.

Frequently asked questions

What makes a page citation-worthy for AI?

Direct, self-contained answers backed by concrete data, credible outbound sources, a named author with visible dates, and clean structured data. These are the signals large language models rely on when they decide which source to quote and attribute in an answer.

Does adding statistics really help?

Yes. Specific numbers, percentages and dates make a claim verifiable and precise, and AI answer engines disproportionately quote data-backed passages over vague generalizations. A single well-placed figure can turn a paragraph into a citable answer.

Do I need FAQ schema to be cited?

It is not mandatory, but FAQPage or QAPage schema packages your content as direct question-and-answer pairs — the exact format answer engines cite most often — so it meaningfully improves your odds of being surfaced.

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