Semantic Search
Search that interprets meaning rather than matching keywords.
Technical Term
Full explanation
Semantic search is a search approach that interprets the meaning and intent behind a query, rather than matching keywords alone.
Semantic search typically works through Embeddings, mathematical representations of meaning that let a system compare a query and a document by conceptual similarity rather than exact word overlap. A query and a passage can match even when they share almost no words in common, as long as they mean similar things.
This is what allows systems to handle natural, conversational questions well. A user does not need to guess the exact phrasing a page uses; the system is matching on what the question is actually asking, not the literal string of words.
Why this matters
It is why keyword density stopped working. Systems now match on meaning, which rewards clear, well-defined language over repetition.
Example
A search for "software that helps small teams track billable hours" can surface a page titled "time-tracking tools for freelancers" because semantic search recognizes the conceptual overlap, even though the two phrasings share few exact words.
Where this sits
Semantic Search belongs to Search, SEO & Generative Optimization, one of the seven layers of the Aingworth Glossary. The established disciplines brands use to improve discoverability. Useful, and often necessary, but tactics that sit on top of a brand's underlying authority infrastructure rather than replace it.
Related terms
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