Chunk retrieval
Retrieving individual segments of a document rather than whole pages, which is how most AI search and RAG systems select what to feed a…
GEO AIContent chunking
Semantic chunking
Splitting documents along meaning boundaries — sections, topics, complete ideas — rather than at fixed character counts, to produce coherent retrievable units.
In full
Fixed-size chunking cuts sentences and separates claims from their qualifiers; semantic chunking respects headings and topical shifts so each unit is self-contained. On the publishing side the equivalent discipline is writing with clear heading hierarchy and one idea per section. Google has explicitly said site owners do not need to chunk their content for its AI features, but structure that makes chunking easy also makes extraction accurate across every system, including those that do.
Example
A long guide is restructured so each H2 answers one question completely, including the entity name and units, rather than relying on earlier context.
Related terms
Retrieval-augmented generation
An architecture where a system retrieves relevant documents or passages first and then has a language model generate an answer conditioned…
Heading structure (H1-H6)
The hierarchy of HTML heading elements that conveys a document's outline to users, assistive technology and parsers.
Passage ranking
Google's ability to rank a page based on the relevance of a specific passage within it, even when the page overall is about something…
Readability
How easily a reader can understand a text, influenced by sentence length, vocabulary, structure and formatting; not a direct ranking factor.