This is an example report for a fictional page, so you can see the output before running anything. The layout, scoring and fixes are the real ones — only the site is made up.
A real report, computed by the real code.
The score and the fixes below come from the same functions that run your audit — fed from a fixture page, so nothing here is hand-written to flatter us. That includes the parts most tools leave out: a check we couldn't complete, a benchmark that states its sample size, and a bonus signal worth zero points.
Overall score — this page
6 of 25 questions get no answer on this page · 4 of 6 technical signals need work
Tankless water heater installation · English · https://www.example.com/tankless-water-heater-installation
Recommended fixes
5 actions for www.example.comrobots.txt is a site-wide file — blocking AI bots here prevents them from crawling any page on this domain. Unblocking is the highest-priority fix.
llms.txt lives at the domain root and describes the whole site to AI agents. Its impact on citation rates is plausible but not yet confirmed by published research.
JSON-LD schema markup helps AI engines correctly categorise your content and may improve how it is attributed in their answers.
Your page does not answer questions that AI search engines frequently receive about your topic. Add them as clearly-headed sections with a direct one-paragraph answer each.
Add author bylines and a link to an About or Team page — this signals to AI that a real organisation or expert stands behind the content, which may increase citation likelihood.
Organization schema already present — add author fields to it.
Estimated score after all fixes
Projected gain is conservative (40% of theoretical max) — real-world improvements depend on implementation quality.
Blocked AI bots prevent OpenAI's and Perplexity's crawlers from seeing your content at all.
Create /llms.txt at your domain root (llmstxt.org standard). No major AI provider has confirmed it affects citation ranking — treat this as low-cost preparation, not a confirmed ranking signal.
Schema markup helps AI engines correctly categorize your content and may improve how it is attributed in answers.
Fix these first
Pages with clear authorship and organizational identity are more likely to be cited by AI engines as authoritative sources.
Your page doesn't answer questions AI engines commonly receive about this topic.
Mostly — the majority of questions are covered, but remaining gaps reduce citation frequency.
Partial — some AI bots are likely blocked in robots.txt (a site-wide setting).
Note: Cloudflare and other CDN/WAF firewall rules can block AI bots even when robots.txt allows them. Check your WAF settings if bots report access issues.
Not detected — we found no JSON-LD of the types AI engines rely on. If you have added schema recently, re-audit to re-check.
Partial — some sections are well structured, but most aren't in Q&A format.
Checked on the audited URL only. If your FAQ or Q&A content lives on a separate page (e.g. /faq), audit that URL directly for a higher score.
No — page lacks statistics or external sources. AI engines prefer pages that back claims with data.
Yes — content was recently published or updated.
Scoring bands: ≤1 mo → 100 · ≤3 mo → 85 · ≤6 mo → 70 · ≤12 mo → 50 · ≤24 mo → 25 · older → 10
Not detected in markup — we found no author byline, About link or Organization schema. Trust signals that exist only as text or images are not machine-readable, which is what this measures.
Questions
A real audit grades 25 questions. Here are 8 of them.
Run this on your own page
Takes about 30 seconds. No account needed for the first one.
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