multimodal AI
Also called: multimodal search, multimodal model, multimodal ai search
Multimodal AI is a model that processes and reasons across more than one kind of input at once, such as text, images, audio, and video, instead of text alone. AI search systems like Google's AI Mode use it to interpret a photo and a spoken question together.
Older systems bolted a separate image classifier onto a text model. Newer ones are built multimodal from the start. Google calls Gemini Embedding 2 its “first natively multimodal embedding model,” and says it maps text, images, video, audio, and documents into a single shared space (blog.google, March 2026). Because everything lands in one space, the model can compare a photo to a caption, or a spoken clip to a paragraph, without a separate translation step.
How multimodal search reads your page
In search this shows up in Google’s AI Mode. When someone snaps a photo and asks a question, AI Mode uses Lens to identify each object, then runs Google’s “query fan-out technique” to “issue multiple queries about the image as a whole and the objects within the image” (blog.google, April 2025). One picture becomes many searches, and any page that answers one of them can get pulled into the response.
Example: a shopper photographs a bookshelf and asks “which of these is best for a beginner?” The model reads titles off the spines, fans out into per-book queries, and cites pages that review those specific books.
For you, this changes what counts as content. Images, alt text, on-image text, captions, and video transcripts are no longer decoration. They are inputs the model reads directly and can quote back. If an asset carries meaning a person would need, it now needs to carry that meaning in a form the model can parse.
How it affects your traffic
Multimodal retrieval widens the number of surfaces that can send you traffic: a product photo, a diagram, a video transcript, or a spoken query can each trigger an AI answer that cites your page. Sites that leave images unlabeled, bake text into pictures, or skip transcripts hand those entry points to competitors whose assets the model can actually read. Our AI SEO work audits every asset an AI can ingest (images, alt text, captions, transcripts, and structured data) so your pages stay eligible across text, visual, and voice search, not just the classic blue links.
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