Semantic Search
Semantic search uses intent, entities and context, not just keyword matching. Content should cover concepts and relationships for stable rankings and citations.
Definition
Semantic search refers to search systems understanding meaning using intent, entities, relationships, and synonyms. For content strategy, it means writing for topics: covering sub-questions, examples, and machine-readable structure (schema, FAQs) rather than exact-match keywords only.
Why it matters
- Matches how modern search and AI engines work
- Improves long-tail coverage and intent alignment stability
- Supports AEO extraction and citations
How to implement
- Use topic clusters to cover sub-questions and related concepts
- Build glossary definition pages and link them to guides/tools
- Add structured data (FAQ, breadcrumbs, Organization) for clarity
Related
Tutorials
FAQ
Common questions about this term.