Multimodal search refers to search queries that combine multiple input types — text, images, audio, or video — processed together by a single AI system, such as searching by uploading a photo alongside a typed question about it.
This capability, powered by advanced AI models like Google’s MUM, allows for richer, more natural search interactions than traditional text-only queries alone, particularly useful for visual or complex, multi-part questions.
Businesses in visually-driven industries should consider how their image and video content might be discovered and interpreted through multimodal search, beyond traditional text-based optimization alone.
We consider multimodal search opportunities within our evolving SEO Content Strategy service.