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GreenBanana SEO Shares New Guidance on AI Extraction and Page Heading Structure

Published Feb. 17, the guidance outlines a three-section framework—direct-answer, mechanism, and comparison—targeting H2 headings to improve AI extraction and citation, according to PressAdvantage.
GreenBanana SEO found that AI systems often extract only high-signal sections from web pages, creating citation gaps when site content favors a ranking mindset over AI visibility strategies.
The guidance recommends three specific H2 types: a direct-answer, 'How Works,' and ' vs Alternatives,' with a checklist for verification, to improve AI citation. GreenBanana says these fixes are quick, practical, and prevent headings from being buried or vague.
These adjustments act as fast structural fixes, letting publishers make high-ranking pages more citable by using H2s stating definition, mechanism, and comparison exactly.
Literal, intent-matching headings help systems identify reusable content, while marketing-flavored or interpretive headings and low-level subheadings reduce citation likelihood.

Insights by Ground AI