Semantic search interprets the meaning and intent behind a query rather than matching literal keywords, returning results that are conceptually relevant. It relies on techniques like embeddings and entity understanding to connect queries with the right content. Because AI answer engines reason semantically, content that clearly conveys meaning and context tends to be retrieved and cited more reliably than keyword-stuffed pages.
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