> ## 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.

# Multi-Modal Search

> Multi-modal search is a search or query interface that accepts and processes multiple types of input — text, images, voice, video, and documents — and return...

*Core concept* · *Emerging*

## Definition

Multi-modal search is a search or query interface that accepts and processes multiple types of input — text, images, voice, video, and documents — and returns results that may also span multiple media types. AI systems with multi-modal capabilities can understand and respond to queries that combine text with images or voice.

## Why It Matters for AI Search

As AI search expands beyond text queries to image search, voice search, and combined modalities, brand visibility requirements expand accordingly. A brand with strong text-based citation presence but no structured image metadata, no voice-optimized content, and no visual [entity signals](https://www.platelunchcollective.com/services/entity-seo) will have gaps in its multi-modal AI search footprint. Multi-modal search optimization adds image structured data, alt text, video transcripts, and voice-formatted answer content to the traditional text-focused AI SEO stack.

## Related Terms

<CardGroup cols={2}>
  <Card title="Voice search" href="/ai-search-glossary/voice-search" />

  <Card title="Video description SEO" href="/ai-search-glossary/video-description-seo" />

  <Card title="Structured data" href="/ai-search-glossary/structured-data" />

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

  <Card title="AI Search Ecosystem" href="/ai-search-glossary/ai-search-ecosystem" />
</CardGroup>

## Relevant Plate Lunch Collective Services

[AI SEO](https://www.platelunchcollective.com/services/ai-seo)  [Social Search Optimization](https://www.platelunchcollective.com/services/social-search-optimization)