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Public AI Access tool
Inventory HTML5 semantic elements and landmarks such as main, nav, article, section, aside, header, footer, figure, time, and details. Improve accessibility, machine readability, and AI content extraction.
What it checks
Deep audit of HTML5 semantic elements and landmarks.
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 Semantic HTML Checker 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.
Semantic HTML uses meaningful tags (main, article, nav, section, aside, figure, time) instead of generic divs. AI crawlers and screen readers use these elements to understand your page structure, identify main content, and extract information accurately.
A ratio above 15% is considered good. This means at least 15% of your container elements are semantic rather than generic divs. Higher ratios indicate better machine readability and accessibility.
Semantic HTML helps crawlers and assistive technology separate main content, navigation, supporting sections, and page chrome. That makes extraction less ambiguous.