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Public AI Access tool
Evaluate source clarity and citation readiness signals. Checks author credentials, publication dates, factual density, source references, content freshness, and unique insight signals that help machines assess trust.
What it checks
Score citation readiness and source trust signals.
Review semantic structure, metadata, schema, and crawl permissions.
Look for clear answers, factual density, authorship, and source context.
Prioritize changes that help answer engines quote the right content.
Methodology
Next steps
Interpretation
Use cases
Improve crawl access, extractability, structured data clarity, and source context.
Check whether pages are structured for snippets, answers, and source references.
Align robots, metadata, schema, and llms.txt with your public AI crawl policy.
Popular checks
Next paths
Use these pages when the result points to a broader check, a fix workflow, or a related technical question.
Fix workflows
Frequently asked questions
No. Enter a URL or domain and run the check in your browser. Some results can be partial if the target site blocks requests or hides the data being checked.
The Citation Readiness runs live checks against the target website. Results reflect what was reachable at the time of the test, so retest after changing DNS, redirects, headers, or page content.
Clear ownership, publication or update dates, concrete facts, external source references, and matching structured data all help readers and crawlers judge whether a page is trustworthy.
E-E-A-T stands for experience, expertise, authoritativeness, and trustworthiness. In practice, users need clear ownership, dates, sources, and evidence before they can trust a recommendation.
Include clear ownership, publish or update dates, source-backed claims, useful examples, and structured data that matches visible content. Avoid unsupported claims and vague summaries.