Extractability
How much of a page an AI can extract and cite in an answer. In AI search, extractability — not length — determines visibility.
What is extractability?
Extractability is how much of a page an AI can extract and cite in an answer. In AI search, what decides visibility is less about how long and comprehensive an article is, and more about whether its passages are written to make sense even when lifted out of context.
Why it matters more than length
AI answer engines extract only within a limited "grounding budget," regardless of page length. In one analysis, pages under 5,000 characters had a 66% AI extraction rate, while pages over 20,000 characters dropped to 12% (Search Engine Land; a single analysis, so read for direction over absolutes). The longer you write, the more your key points get buried and the lower the extraction odds.
How to raise extractability
- Self-contained sentences — Remove pronouns and stripped conditions so each sentence survives alone.
- Direct answer + explicit heading — Lead a paragraph with the answer, and add a heading that makes sense without context.
- Structured evidence — Use tables and lists to make excerpting easy.
- Condition-specific information — Generic explanations get replaced by the AI's own output, so it is condition-specific information that gets cited.
Extractability feeds grounding and is evaluated at the passage level — the unit AI works with.
Related terms
Further reading
- Made to Be Cited — Replacing the Ultimate Guide with Extractable Content — four principles for raising extractability
Is your site visible in AI search?
See for free how ChatGPT, Perplexity, and Gemini describe your brand.
Start Free Diagnosis →