Answerability Check:
How Citable Is This Page?
Paste a page URL and get a 0-100 answerability score across five content signals - direct answers, question-shaped headings, entity clarity, factual density, chunk structure - plus the three highest-leverage rewrites, each with a verbatim before/after from your own page.
How it works
- Crawler-fidelity fetch - the page is fetched without JavaScript rendering, because that is what most AI crawlers see. If stripping markup leaves almost no text, the tool says so instead of scoring the void.
- Scored by the audit model - the same model behind Citevera's paid audits reads title, headings, and visible text, and scores the five axes with a concrete note each.
- Evidence-gated rewrites - each suggested rewrite quotes its "before" passage, and we verify that passage occurs verbatim on your page before showing it. Unfindable passages are dropped and the drop count is displayed.
- Guardrails, not fakery - 24h shared cache per page, a global daily spend ceiling, and an honest "at capacity" state when it is hit.
Example result
A real run against citevera.com/blog/what-is-aeo-in-2026 (our own post) on 2026-08-04:
- Direct answer up front95
- Question-shaped structure94
- Entity clarity94
- Factual density93
- Chunk structure82
Top rewrite flagged: key extractability signals compressed into one dense numbered paragraph - split so each signal survives extraction alone. The "before" passage was verified verbatim on the page; 0 of 3 suggestions were dropped by the evidence gate.
Common answerability problems
- The answer arrives in paragraph six - engines quote openings, and yours is throat-clearing.
- Headings describe themes ("Our approach") instead of questions users ask.
- Key claims ride on pronouns ("it", "this") that die when a passage is extracted alone.
- Generic language with nothing quotable - no numbers, no names, no mechanisms.
- Meaning spread across long dependent paragraphs no single chunk can carry.
- Script-rendered content that never reaches a non-rendering crawler at all.
Frequently asked questions
What does the answerability score measure?
Five things AI engines need before they can quote a page: a direct answer in roughly the first 50 words, question-shaped headings a query can align to, entity clarity (who or what this is about, stated plainly), factual density (specific quotable claims, not filler), and chunk structure (passages that stand alone when extracted). Each axis scores 0-100; the overall score is their average.
What model scores the page?
The same audit model Citevera's paid scans use (gpt-5.6-luna). It reads the page title, headings, and up to 6,000 characters of visible text - fetched the way a crawler fetches, no JavaScript rendering. A script-rendered page that yields no visible text is reported as exactly that, which is itself an AEO finding.
How do I know the rewrite suggestions are not hallucinated?
Every "before" passage is mechanically verified to occur verbatim in your page text before we show it. A suggested rewrite whose passage does not exist on the page is dropped and counted, not displayed - the same evidence-gate discipline our brand check applies to mentions.
Why is the result the same when I re-run it?
Results are cached for 24 hours per page and shared across all users - one paid model run per page per day, globally. Edit the page and check back tomorrow, or score a different URL.
The tool says it is at capacity. Why?
The free LLM tools share a global daily spend ceiling on our API keys. At the ceiling, new checks pause until tomorrow rather than fake a score - cached results keep serving. Paid audits run on their own budget and are unaffected.
Is this the same as the full Citevera audit?
No - this scores one page's content extractability only. The full audit adds the technical layers (llms.txt, schema, crawler access, sitemap health), the 5-stage decision funnel, and copy-paste fix artifacts across your site, plus these same content signals.
Content is one layer - the technical layers matter first: check crawler access and see what engines learn about your entity. Writing patterns: the first-150-word rule, definition paragraphs, and the anatomy of a cited post.
Built by Paul, founder of Citevera · Published 2026-08-04 · Updated 2026-08-04 · Scored by the same audit model as Citevera scans