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Core concept · Emerging

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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. 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 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.

Voice search

Video description SEO

Structured data

Entity-linked transcripts

AI Search Ecosystem

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Relevant PLC Services

AI SEO Social Search Optimization