Passage indexing is a search technology that Google announced on its official blog in October 2020, a mechanism that evaluates not only the relevance of a page as a whole but also the relevance of specific paragraphs (passages) within the page. In the guide to ranking systems on Google Search Central (as of December 2025), it is called "passage ranking" and is described as an AI system that identifies individual sections of a page to better understand how relevant the page is to a search. The same blog introduced it as a technology that makes it possible to find a single sentence that answers a question even when that part is buried deep in a page.
The announcement by Google also projected that, once rolled out globally, it would improve 7% of search queries across all languages.
If the explanation of each term on a glossary page is an independent section, individual sections can become subject to evaluation for "What is X" type search queries. One way of writing is to divide sections with heading tags (h2, h3) and place a concise definition at the start of each section.
Blogs and FAQ pages of URL shortener services can also divide sections by question. Note that the ranking systems guide lists passage ranking as one of the multiple ranking systems of Google.