SEOOn-Page SEOUpdated 2026.04.28

Semantic Search

Also known as의미 기반 검색Meaning-based Search

In one line

Semantic search matches results by understanding the meaning and intent behind a query rather than matching exact keywords — the default mode of modern search engines and LLMs.

Going deeper

Semantic search retrieves results by what a query means, not by which words it uses. A user who types 'how to charge my iPhone faster' gets the 'iPhone fast-charging guide' and the '20W charger recommendation' bundled together as the same intent. Once Google rolled out BERT and MUM, this became the default mode of mainstream search.

What it means for marketers is direct. The era of one page matching one exact keyword is over — what counts now is how deeply a page covers a theme. Pairing a primary keyword with its synonyms, adjacent concepts and likely follow-up questions, all woven into the prose naturally, is just baseline SEO craft today.

For GEO, semantic search isn't an adjacent topic — it's the core of the system. The embedding and vector retrieval an LLM uses to compose an answer is semantic search by another name, and Villion's emphasis on 'content AI is willing to cite' lines up exactly with the same principle: meaning has to be clearly organised on the page.

Related terms

How does your brand show up in AI answers?

Villion measures how your brand appears across ChatGPT, Perplexity and AI Overviews, then automates the work that lifts citation rate and share of voice.

Get a free audit