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Free AI Citation Checker

Enter your brand and a query you want to win. We run the query through ChatGPT, Perplexity, and Claude in real time — and tell you which ones cite you, which cite a competitor, and what the gap looks like.

Step 01 · Brand + query

Who do ChatGPT, Perplexity, and Claude cite for your query?

Run a real query through all three engines. See per-engine: cited, not cited, or cited a competitor. With the cited URL and the gap analysis. The fastest way to know if you exist in the AI-discovery layer.


Background · How AI engines pick who to cite

Three signals do most of the work.

  1. Structured data. Organization + Article + FAQ schema on every page. Generate yours free →
  2. Citation density. Third-party mentions on industry publications, podcasts, LinkedIn. AI engines weight these heavier than your own site.
  3. Direct-answer structure. The answer to the query exists in plain text near the top of the page, not buried behind hero animation and marketing fluff.

Three steps. About a minute end to end.

  1. 01

    Enter your brand name

    The brand exactly as it should appear in an AI answer. "Gray Reserve" not "grayreserve.com".

  2. 02

    Enter a query

    A real query a buyer would type. "Best fractional CMO in The Woodlands TX" — not "fractional CMO" alone.

  3. 03

    Read the citation map

    Per-engine: cited, not cited, or cited a competitor. Plus the cited URL when applicable.

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What this tool does — and what it doesn't.

Why does AI citation matter?

For specific B2B verticals (legal services, fractional executive search, niche SaaS), AI engines are now a larger share of discovery than Google. A brand that gets cited by ChatGPT for "best fractional CMO Houston" wins meetings; a brand that does not is invisible to a meaningful slice of the buyer pool.

How do AI engines decide who to cite?

Three big signals: structured data (schema, llms.txt, robots.txt allowing AI bots), citation density across third-party sources (mentions on industry publications, podcast appearances, LinkedIn posts), and on-page clarity (the answer to the query exists in plain text, not buried in marketing fluff).

What is llms.txt?

A proposed AI-discovery standard (similar to robots.txt) that gives LLMs a curated index of your site's most important content. We publish ours at grayreserve.com/llms.txt. The standard is young but adoption is growing — Anthropic, Perplexity, and OpenAI all read it.

Why am I cited on one engine but not another?

Each engine's retrieval pipeline weights signals differently. ChatGPT leans on Bing's index plus its own crawl. Perplexity leans on its own crawl plus high-confidence schema. Claude leans on a smaller curated index. Gaps usually trace to which engines have crawled your site recently and how clean your schema is.

Can I force an AI to cite me?

No. You can substantially raise your odds by: shipping proper Organization + Article + FAQ schema, publishing answer-shaped content (direct-answer paragraphs at the top of pages), getting cited on third-party industry publications, and submitting to llms.txt-aware engines.

When you're ready for a real read

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