> ## Documentation Index
> Fetch the complete documentation index at: https://wiki.platelunchcollective.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Semantic Search

> Semantic search is a search approach that interprets the contextual meaning and intent behind a query rather than matching exact keywords.

*Core concept* · *Search*

## Definition

Semantic search is a search approach that interprets the contextual meaning and intent behind a query rather than matching exact keywords. Enabled by NLP and entity-based indexing, semantic search allows AI systems to return relevant results even when the query uses different vocabulary than the content.

## Why It Matters for AI Search

Semantic search is the mechanism that makes entity-based optimization more effective than keyword stuffing. A brand that is well-defined as an entity — with clear type, attributes, and relationship associations — will surface for semantically related queries even without exact keyword matches. Semantic search rewards conceptual clarity over vocabulary repetition, which is why content that explains what a thing is and how it relates to other things outperforms content that merely mentions the right words.

## Related Terms

<CardGroup cols={2}>
  <Card title="Neural matching" href="/ai-search-glossary/neural-matching" />

  <Card title="Semantic relevance" href="/ai-search-glossary/semantic-relevance" />

  <Card title="Entity optimization" href="/ai-search-glossary/entity-optimization" />

  <Card title="NLP" href="/ai-search-glossary/nlp" />

  <Card title="Dense retrieval" href="/ai-search-glossary/dense-retrieval" />
</CardGroup>

## Relevant Plate Lunch Collective Services

[AI SEO](https://www.platelunchcollective.com/services/ai-seo)  [Citation-Ready Content](https://www.platelunchcollective.com/services/citation-ready-content)