Free Tool
AI Citability Checker
Ranking gets you seen. Being cited gets you the answer. Score any page on the signals AI engines use to choose their sources.
What it checks
The tool fetches your page and scores nine signals that determine whether an AI answer engine can select and quote it: an answer-first opening, question-shaped headings, FAQ/Article/HowTo schema, a recognizable brand entity, lists or tables, visible freshness, a meta description, substantive depth, and an llms.txt index. Each failing signal comes with the fix.
It reads only the public HTML of the URL you enter. This is a structural readiness score, not a guarantee of citation — off-site authority and query type also matter.
How the score is weighted
The checker scores nine signals out of 100 points. The weighting reflects how much each one affects whether an answer engine can lift a passage cleanly, so structural signals carry more than cosmetic ones:
- Answer-first opening — 18 points. The first paragraph has to answer the question on its own, without setup.
- FAQ, Article or HowTo schema — 16 points. Any one of the three earns full credit.
- Question-style headings — 14 points. Two or more earn full credit; one earns half.
- Organization entity schema — 12 points. Full credit needs Organization markup and sameAs links; Organization alone earns half.
- Lists or tables — 10 points. At least one list or table.
- Substantive depth — 8 points. 300 words or more earns full credit; 120 or more earns half.
- Visible freshness — 8 points. A date a reader can actually see.
- llms.txt present — 8 points. Fetched from the root of the domain you enter.
- Meta description — 6 points. Present, and summarising the answer.
Three signals award half credit rather than none, so partial progress on headings, entity markup and depth still moves the score.
What the grades mean
The percentage is converted to a letter so you can tell at a glance whether a page needs structural work or a light edit. A is 80 and above, B is 65 to 79, C is 50 to 64, D is 35 to 49, and F is anything below 35. Pages that have never been written for answer engines usually land at D or F, and the fastest route up is the answer-first opening plus a schema block — 34 of the 100 points sit in those two signals alone.
Frequently asked questions
What makes a page citable by AI answer engines?
They favor pages that lead with a clear answer, use question-shaped headings, carry FAQ or Article schema, present a recognizable brand entity, use lists and tables, show freshness, and are easy to parse. The full method is in the citation playbook.
Does a high score guarantee I will be cited?
No. Citation also depends on off-site authority and query type. A high score means your page is structurally ready — it removes the technical reasons an engine would skip you.
How is the citability score calculated?
Nine weighted signals add up to 100 points: answer-first opening (18), FAQ/Article/HowTo schema (16), question-style headings (14), Organization entity schema (12), lists or tables (10), substantive depth (8), visible freshness (8), an llms.txt file (8) and a meta description (6). Headings, entity schema and depth can each award half credit, so partial progress still moves the score.
Which signal is worth the most?
The answer-first opening, at 18 points. It is also the one most pages fail, because marketing copy tends to open with context rather than the answer. FAQ, Article or HowTo schema is next at 16 points, and together those two are just over a third of the total.
Does the checker look at my llms.txt file?
Yes. It requests /llms.txt from the root of the domain in the URL you enter and awards 8 points if the file is served. That is a separate request, so this part of the result reflects the whole domain rather than only the page you tested.
We’ll email you the complete breakdown from this tool plus the exact fixes to make — no spam.
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