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Core concept · Search

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Definition

Semantic search is a search approach that interprets the contextual meaning and intent behind a query rather than matching exact keywords. Enabled by NLP and entity-based indexing, semantic search allows AI systems to return relevant results even when the query uses different vocabulary than the content. Semantic search is the mechanism that makes entity-based optimization more effective than keyword stuffing. A brand that is well-defined as an entity — with clear type, attributes, and relationship associations — will surface for semantically related queries even without exact keyword matches. Semantic search rewards conceptual clarity over vocabulary repetition, which is why content that explains what a thing is and how it relates to other things outperforms content that merely mentions the right words.

Neural matching

Semantic relevance

Entity optimization

NLP

Dense retrieval

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