Could an answer be lifted out of this page?
Paste one public URL. A language model reads the page against a fixed 28-check rubric and scores whether the content is shaped to be quoted and attributed, then names the checks it failed.
What comes back is an assessment, not a measurement. Nothing here observes an engine, so nothing here can tell you whether you are cited. It tells you whether the page is in a state that makes citation possible, which is the part you control.
Three things, in the order they can break.
Access comes first, because a page a crawler cannot read scores nothing on the other two. Then structure, then whether the page says who is speaking. Every check returns pass, partial or fail, worth two points, one, or none.
The Caldrin AEO readiness rubric, v1.
Twenty-eight checks, each scored pass (2), partial (1) or fail (0), for a raw score out of 56 that is reported as a percentage. The bands are 86 and above citation-ready, 68 to 85 near-ready, 50 to 67 significant gaps, and below 50 not citation-ready.
The rubric is ours and the bands are a judgement call, not an industry standard. They are drawn from what we see get extracted into generated answers: a direct answer in the opening, headings that describe rather than tease, frameworks and tables in real elements, and one consistent entity name that a model can resolve. Nobody has published a validated threshold for any of this, and neither have we, so read the failed checks rather than the number.
THE SCORE IS MODEL-GENERATED AGAINST THIS RUBRIC. IT IS NOT PRODUCED BY CAUL AND IT IS NOT A MEASUREMENT OF ANY ENGINE.
What this check cannot see.
Five limits, and they apply to every run rather than to edge cases. A free tool that overstates itself costs more credibility than it earns, so these sit above the result rather than under it.
The disclosure that travels with the score.
- instrument
- A language model reading extracted HTML. Not Caul, and not a measurement instrument.
- what was measured
- Nothing is measured. One public page is scored against the Caldrin AEO readiness rubric v1: 28 checks, 56 points.
- how
- The page is fetched once as raw HTML with its robots.txt, reduced to headings, schema, meta, a text sample and structural counts, and scored by a language model against the fixed rubric. Nothing is stored.
- over what window
- The moment you press run. The score describes the page as fetched, and it goes stale the next time the page changes.
- what this cannot tell you
- It never observes an engine, so it cannot tell you whether you are cited. It cannot see authority, which is the other half of why pages are not retrieved. It reads raw HTML, so JavaScript-rendered content is invisible to it. Scores vary by a point or two between runs, because a model is doing the scoring.
This checked one page. The report measures your category.
The free AI visibility report runs a fixed prompt set across the engines and counts how often you are named against competitors you name. That is the measurement this tool cannot make, and it is free too, delivered on a call so the findings get explained.
Free. The $1,500 is what this sweep is priced at when it is sold, not a survey of anyone else’s rates.