Search engines surface relevant passages from long documents for specific queries.
Passage indexing allows search engines to identify and rank specific sections within longer documents that directly answer a query. This benefits comprehensive content that covers multiple subtopics. Clear headings, logical structure, and focused sections help algorithms locate and elevate the most relevant passages.
| Criteria | Recommended | Notes |
|---|---|---|
| Intent Alignment | Map $passage indexing to user journeys and topics | Validate with SERP and on-site behavior |
| Consistency | Encode in components and content standards | Use CMS validations and preview QA |
| Measurement | Track internal CTR, sync signals, conversions | Set guardrails to catch regressions |
Ranking a subsection of a long guide for a niche question
Using descriptive H2/H3 headings for granular topics
Gives long-form content more ranking opportunities
Improves visibility for niche questions
Encourages better content structure
Use clear headings and table of contents
Answer specific questions within sections
Avoid overly broad, unfocused content blocks
Search technology that understands the contextual meaning and intent behind queries.
The underlying goal or purpose behind a user's search query.
The perceived expertise and depth a site has on a specific subject area.
A push-based protocol to notify search engines of content changes for faster discovery.
Meta tag directives like index, noindex, follow, nofollow that guide crawling and indexing.
URL patterns that create infinite or near-infinite crawl paths that waste resources.
Strategically shaping internal links to prioritize and channel authority to key pages.
RankVectors uses AI-powered semantic analysis to help you implement intelligent internal linking strategies automatically.
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Links tagged to signal that they should not pass ranking signals to the target page.
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