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Public AI Access tool
Analyze how clearly machines can extract and summarize your content. Checks definition sentences, FAQ patterns, answer density, bullet point usage, and direct-answer formatting. Higher scores mean the page is easier to parse and reuse accurately.
What it checks
Score how quotable and extractable your content is for AI.
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 AI Content Score 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.
An AI Content Score reviews how easy a page is to extract and summarize. It checks for definition sentences, FAQ patterns, lists, tables, and direct-answer formatting that reduce ambiguity for machines and readers.
Use clear definitions, FAQ sections, numbered lists, comparison tables, direct answers, and question-format headings where they help readers understand the page faster.
It means public content is crawlable, structured, easy to summarize, and supported by clear sources. It builds on normal SEO foundations rather than replacing them.