Predict how likely your content is to be cited in AI Overviews before you publish.
Grade a single page on how easily an answer engine can extract, attribute and quote it correctly.
We check your page's heading hierarchy (H2/H3), FAQ sections, lists & tables, TL;DR summaries, and table of contents. Well-structured content is easier for AI to parse and cite.
AI evaluates whether your content provides direct answers, includes specific data/statistics, uses Q&A format, has freshness signals, and contains concise citable passages.
We check for author bylines, external source citations, HTTPS, schema markup variety, and trust signals (privacy policy, about page, contact links).
AI evaluates whether key entities are clearly defined, relationships between entities are articulated, terminology is consistent, and the topic is comprehensively covered.
The unit is one URL. The scorer fetches the page and evaluates the properties that decide whether a model can lift an answer out of it without mangling the meaning: whether claims are self-contained, whether sections are labelled with descriptive headings, whether the page states who wrote it and when, and whether facts are attributed to something.
This is not a measure of writing quality and it is not a ranking prediction. It measures extractability, which is a narrower and more mechanical thing.
CITABILITY 62 / 100
SELF-CONTAINED CLAIMS 14 / 25
9 of 22 key sentences depend on the
previous paragraph to make sense
SECTION LABELLING 20 / 25
headings descriptive, 1 duplicate
ATTRIBUTION 8 / 25
4 factual claims with no source
no author, no publication date
STRUCTURED DATA 20 / 25
Article schema present
no author property
STRONGEST EXTRACTABLE PASSAGE
"A 301 redirect passes ranking signals;
a 302 does not reliably do so."
Attribution scoring low with everything else acceptable is the most common shape, and it is the cheapest to fix. Four unsourced claims and a missing author byline are an afternoon of work, not a rewrite.
The self-contained claims figure is the one people argue with. A sentence beginning "this means it will" is perfectly clear in context and useless out of it, because a model quoting it has no way to carry the antecedent along. Writing sentences that survive being lifted is a habit, and it costs nothing once you have it.
A high score does not mean you will be cited. Citation depends on whether the engine finds your page at all, whether it trusts the domain, and whether your page happens to answer the prompt someone typed. Extractability is necessary and nowhere near sufficient.
Whether your brand actually appears in answers is a different question with a different tool: the AI Visibility Checker tests that directly, and it is free.
Will a high score get me cited?
No. It removes one obstacle. Being found and being trusted are separate problems.
Does it work on any URL?
Any public URL, including a competitor's, which is often the more instructive run.
Why does attribution weigh so heavily?
Because a model quoting an unsourced claim inherits the risk of being wrong, and systems are increasingly built to prefer sourced material.
What does it cost?
It runs on credits, not a subscription, and credits never expire.
Score a page here, then run the same question across a competitor set to see who gets quoted instead of you.
Runs on credits · No subscription · Credits never expire
This free tool is one slice of the job. The full kit - rank tracking, audits, competitor gaps, content, and your visibility across ChatGPT and Google's AI Overviews - runs on credits you only spend when you use them. Sign up and we'll drop 25 credits in your account to try the paid tools on us.