Passage Ranking
Theoretical FoundationsPassage Ranking is Google's mechanism (launched 2021) that identifies and ranks specific fragments of a page independently from the overall document. Rather than evaluating only the full page's relevance, Google can surface individual sections that best answer a query.
This has become increasingly important as Google's AI Overviews extract individual H2 sections as standalone answers. The core optimization principle: test each H2 section by asking 'Does this fragment make sense without the rest of the article?' If it requires reading previous sections, it isn't passage ready.
The system uses Passage Embeddings: Google generates separate vectors for each fragment and compares them against user queries. To make content passage ready, every section needs BLUF (Bottom Line Up Front) at the beginning—start with the conclusion, not an introduction. Use specific entity names instead of pronouns ('Google's RankBrain' instead of 'it') so each passage stands alone as a complete answer.