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Semantic Search Explained: Why Keywords Aren't Enough

Samuel Aondo

Keywords are dead. Long live concepts. Semantic search is the ability of search engines to understand the intent and contextual meaning of terms, rather than just matching keywords.

Vector Embeddings & You

Modern search engines use "vector embeddings" to map words to concepts in a multi-dimensional space. To rank, your content needs to be semantically close to the user's query vector.

Writing for Semantics

Stop keyword stuffing. Start topic clustering. Cover a topic exhaustively. Use synonyms, related terms, and natural language. The more comprehensively you cover a "topic entity," the higher your semantic authority becomes.