What is semantic search?
Semantic search is a search approach that tries to understand the meaning and intent behind a query, and the meaning of the content it searches, instead of only matching the exact words used.
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How semantic search works
Semantic systems use language models and related techniques to represent the meaning of words and passages. A query for a phrase can then match a page that uses different wording for the same idea.
They also use context, such as the entities involved and the likely intent. That helps separate searches that look alike but mean different things.
What semantic search means for content
You don't need to repeat an exact keyword to be found. You do need to cover a topic clearly and completely, using the natural terms and related ideas people use when they discuss it.
Write for the question behind the search. Pages that match the searcher's intent and explain a subject well are the ones semantic systems can recognize as relevant.
Common questions
How is semantic search different from keyword search?
Keyword search looks for the words you typed. Semantic search looks for the meaning, so it can return relevant results that use different words.
Does semantic search mean keywords no longer matter?
No. Keywords still show what people search for and help a page signal its topic. They matter as a guide to language and intent, not as a thing to repeat.
What is semantic SEO?
It's the practice of optimizing for topics and meaning rather than single keywords. It involves covering related subtopics, using clear structure, and building entity understanding.
Do AI search tools use semantic search?
Many do. They often retrieve passages by meaning, using embeddings, before writing an answer. The specific methods differ by product.
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