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How AI Search Works

Multimodal AI

Also: multimodal model, multimodal LLM

Multimodal AI is a model that can work with more than one type of data: text, images, audio, and video, in a single system rather than handling text alone. A multimodal model can read a screenshot, describe a chart, transcribe speech, and answer questions about a video, often in the same conversation.

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"Multimodal" describes what a model can take in and put out, and the two are not always the same. Most current flagships, including Gemini, ChatGPT, and Claude, accept images and files as input. Output is where they differ: ChatGPT can generate images natively from the GPT-4o model, while Gemini produces them through a dedicated image model in its family (the viral Nano Banana). Either way, a model accepting an image as input does not automatically mean it can create one.

For brands, the practical upshot is that AI can now read the things you publish beyond text: the diagram in your guide, the slide in your deck, the product shot on your page. Clear, labeled visuals and accurate alt text become part of how an engine understands, and potentially cites, your content.