Semantic search
Search that matches meaning and intent rather than exact keywords, using the relationships between concepts.
In depth
What it really means
Semantic search understands what a query means, not just the words in it. It uses relationships between concepts and context to return results that fit the intent, even when the exact keywords do not match.
It is why keyword stuffing stopped working. Covering a topic and its related concepts well matters more than repeating one phrase.
Best practices
- Cover a topic and its related concepts, not one keyword.
- Use natural language and synonyms rather than repetition.
- Structure content around meaning and intent.
- Build topical depth so the meaning is unmistakable.
- Add clear context so concepts are easy to relate.
FAQs
What is semantic search?
Search that matches the meaning and intent of a query using relationships between concepts, rather than exact keyword matching.
How does it affect content?
It rewards thorough coverage of a topic and its related concepts over repeating a single keyword.
Is keyword stuffing dead?
Yes. Semantic search understands meaning, so stuffing exact phrases no longer helps and can hurt.
How do I optimize for semantic search?
Cover the topic and its related concepts in natural language, and build clear topical depth.
Does semantic search relate to entities?
Yes. Understanding entities and their relationships is a big part of how semantic search interprets meaning.
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