AI search · Glossary
What is passage retrieval?
Passage retrieval is finding and using the most relevant section of a page rather than the page as a whole. Google introduced passage ranking in 2021, and AI search systems rely on retrieving passages ('chunks') to build their answers.
Written by Noor KhanWhy Passage retrieval matters
Your best answer can be buried in a long page and still be found, but only if that passage is clear on its own. It's why answer-first, self-contained sections matter more than ever.
How Passage retrieval works
- Pages are split into passages that can be scored for relevance individually.
- The most relevant passage, not the whole page, is matched to the query.
- Passages that make sense out of context are easier to use.
How to apply it
- Open each section with a direct answer to its heading.
- Name the subject instead of using 'it' or 'this' at the start of sections.
- Keep one idea per section with a descriptive heading.
Example
A long guide to retirement planning can rank for a narrow question about withdrawal rules because one section answers it clearly.
Common mistake
Writing sections that only make sense if you've read everything above them.
Not sure how Passage retrieval applies to your site? Book a strategy call, request a free gap snapshot, or ask the assistant.