Definition
Multi-modal search refers to search queries combining multiple modalities: text, image, voice, and video. Multimodal AI models (GPT-4V, Gemini, etc.) now allow searching by combining a photo with a text question, or verbally describing what you see. Google Lens, Google Circle to Search, and visual features of AI chatbots illustrate this trend. For GEO, all formats must be optimized: image alt text, video transcriptions, multimedia structured data.
Key Points
- Combines text, image, voice, and video in a single query
- Driven by multimodal AI models (GPT-4V, Gemini)
- Requires optimization of all content formats
Practical Examples
Photo + question
A user photographs a product and asks Google Lens 'where can I buy this product cheaper?' The AI engine analyzes the image and provides relevant results.
Enhanced voice search
A user dictates 'show me examples of quality backlinks like the ones I see on this site' while sharing a screenshot.
Frequently Asked Questions
Optimize your images (alt text, captions, file names), add transcriptions to your videos, use ImageObject/VideoObject structured data, and ensure consistency between text and visuals.
Yes, Google Lens processes billions of visual queries per month. The text+image combination is increasingly native in AI search interfaces.
Go Further with LemmiLink
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Last updated: 2026-02-07