Heading Structure Extractor

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Heading Structure Extractor

Enter any URL and see your full H1–H6 hierarchy scored for AI extractability. Skipped levels, missing H1s, and ordering issues flagged instantly.

HEADING STRUCTURE EXTRACTOR
GEOLAB.NET
Works on any publicly accessible URL. Full page URL including path recommended.
Fetching page and extracting headings…
1
Enter the full page URL
Use the complete URL including the path — not just the domain. The tool fetches the live page HTML and extracts all heading tags in document order.
2
Read the heading tree
The tree shows every H1–H6 tag in order. Issues are highlighted: skipped levels (H2 → H4), multiple H1s, missing H1, and headings that are too long to be citable.
3
Understand the extractability score
The score (0–100) reflects how well your heading structure helps AI engines parse and cite content by section. Each issue type deducts points based on its impact on extractability.
4
Fix issues in priority order
Critical issues (missing H1, multiple H1s, severe skipping) should be fixed first. Warning-level issues (minor skips, overly long headings) come second. Each issue has a specific fix suggestion.
5
Re-run after fixing
Once you’ve updated the page, re-run to confirm the score improved. Heading structure changes are picked up by AI crawlers at the next crawl cycle — typically within a few days.
GEO Fundamentals Series
Master content extractability
6 emails on Layer 1 of the GEO Stack — heading structure, paragraph patterns, and the content signals that determine whether AI engines cite your pages.

About the Author

Artur Ferreira is the founder of The GEO Lab with over 20 years (since 2004) of experience in SEO and organic growth strategy. He developed the GEO Stack framework and leads research into Generative Engine Optimisation methodologies. Connect on X/Twitter or LinkedIn.

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