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Public AI Access tool
Detect named entities (organizations, people, products, locations) on your page. Measure entity density, consistency, and how well they map to Schema.org types. Strong entity signals help AI models understand and trust your content.
What it checks
Analyze entity density and knowledge graph 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.
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 Entity Analyzer 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.
Entity density measures how many named entities such as organizations, products, people, and locations appear relative to the page text. The goal is clarity and consistency, not forcing extra names into the copy.
Consistent names, organizations, products, locations, and sameAs links reduce ambiguity. They help readers and crawlers understand what the page is about and which sources support it.
No. It is a first-pass page review that identifies named entities, measures density, and checks Schema.org alignment. Use it to find clarity gaps before deeper research.