Semantic Search

Semantic search understands ideas, not just strings. Traditional keyword search matched the literal words on a page. Semantic search — powered by embeddings and language models — matches the meaning behind a query to the meaning of content, so "affordable running shoes for flat feet" finds the right answer even without those exact words.

It's the retrieval engine underneath modern AI search. Every answer engine that grounds responses in sources leans on semantic matching to find the most relevant material.

For brands, semantic search rewards depth and clarity over keyword stuffing. Content that thoroughly, unambiguously covers a topic — in natural language, with clear entities — is what gets retrieved. Writing for meaning is a foundational move in Generative Engine Optimization.