$ man content-extractability

Engineering · GEO & Content Engineering

Content Extractability

How easily an AI engine can pull a self-contained, citable passage from your content without needing surrounding context.

by Shawn Tenam


למה זה חשוב

This is the single most actionable GEO metric. Self-contained passages of 134-167 words hit the sweet spot. Pages with semantic completeness scores above 8.5 out of 10 are 4.2x more likely to be cited by AI engines. I tested this on ShawnOS knowledge terms. The ones that read like standalone explanations get cited. The ones that depend on context from other sections don't. The fix is structural, not creative. Write passages that make sense if you rip them out of the page entirely.

איך אתה משתמש בזה

The KnowledgeTerm interface enforces extractability by design. Each term has a standalone definition, a standalone whyItMatters, and a standalone howYouUseIt. Three extractable passages per term. The wiki sections work the same way. Every heading introduces a self-contained block.


מונחים קשורים
The Answer Block PatternGEO (Generative Engine Optimization)Content Freshness Scoring

content playbooks
X Algorithm Deep DiveX Format and Growth GuideRecursive Content FlowBuilding a Content RepoContent Pillars Framework
מדריך הנדסה ו-AIכל המונחים
ShawnOS.ai|theGTMOS.ai|theContentOS.ai
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