Semantic Search

Semantic search is a search technology interpreting context, meaning, and intent behind queries to understand user search purpose.

What is semantic search?

Semantic search is a search technology that interprets the context, meaning, and intent behind a query rather than simply matching exact keywords. Instead of focusing on individual words, semantic search understands relationships between concepts, synonyms, and the broader context of what users are trying to find, enabling search engines to deliver more relevant results even when exact keywords aren't present.

Semantic search utilizes several key technologies:

Natural language processing to understand queries as humans speak them
Knowledge graphs to recognize entities and their relationships
Vector embeddings to comprehend content meaning beyond keywords
Context analysis to interpret user intent and match related terms

This approach powers modern search engines and AI systems, allowing them to understand natural language queries and match user intent to content meaning, surfacing the most helpful answers regardless of exact keyword matches.

Learn more: Discover how semantic search and LSI keywords impact your content strategy in our Google Algorithm Update: LSI & Semantic Keywords guide.

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