GEO
Sub-document retrieval
Retrieving a passage instead of a page. The unit of AI visibility is often the chunk.
Your “page 1 ranking” can lose to someone else’s paragraph 3.
See passage ranking and chunking.
Examples
- A model cites a mid-page warning callout. That callout was the only self-contained truth on the URL.
Related terms
Content chunking
Chunking is writing sections that still make sense if a retriever lifts 100–300 words and ignores the rest of the page.
Passage ranking
Scoring a section, not the whole URL. AI Overviews already behave this way. Your H2 might win while the page “ranks” page 2.
RAG (retrieval-augmented generation)
RAG means the model looks up documents at answer time instead of relying only on what it memorized in training.
FAQ
One H1 one H2? +
Use as many H2s as you have real sub-questions. Each should stand alone.
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