Multimodal Search

Definition

Multimodal search lets users query with more than text—images, voice, video, or mixed inputs—and receive results that understand those modalities.

By Vinespire Editorial Team, Editorial ·

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Core conceptsAI search glossary

This term is part of the full AI search glossary.

Full definition

Classic search is largely text-to-text. Multimodal systems accept a photo of a product, a spoken question, or an image-plus-text prompt and retrieve or generate relevant answers. Models encode different media types into shared or aligned representations.

For brands, multimodal search raises the importance of accurate images, alt text, product attributes, and visual consistency—not only keyword pages. Shopping and visual discovery features often depend on clean catalogs and structured product data.

AI assistants increasingly combine multimodal understanding with generative answers, so a single query may involve vision, retrieval, and text generation together. See Gemini, Shopping Graph, and Voice Assistant Search.

Example

A shopper photographs a lamp and asks an assistant for similar styles under a budget; results draw on image similarity plus product listings.

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