What is Passage Embedding?
The vector representation of a single section used in passage-level retrieval. One idea per section with the answer up front produces embeddings that match focused queries.
Related terms
Passage Ranking
Ranking a page based on one strong section even when the whole page covers more. Self-contained sections with clear headings can win queries the page was never explicitly "about".
Vector Embedding
A numeric representation of text meaning used to match queries to passages by semantic similarity rather than exact keywords. Embeddings power chunk retrieval in AI search.
Chunking
Splitting content into retrievable passages for embeddings and RAG. Clear headings, one idea per section, and definitions up front make chunks that rank and quote cleanly.
On-Page SEO
Optimizing individual pages: titles, headings, content depth, internal links, images, and schema. On-page work decides relevance once technical SEO has made the page reachable.
Title Tag
The clickable headline in search results and the strongest on-page relevance signal. Google rewrites most titles, so clarity and completeness beat rigid length rules.
Meta Description
The optional summary that can become the result snippet. Absence is not a penalty and Google rewrites most descriptions, so prioritize valuable pages where controlled wording earns clicks.