Multimodal AI.
Learn what Multimodal AI means in modern search and SEO.
AI systems that can process and generate multiple types of data—text, images, audio, and video—within a single model.
Multimodal AI systems understand and generate content across multiple modalities—text, images, audio, video, and code—within a unified model. GPT-4o, Gemini, and Claude 3 are all multimodal: they can analyse an image and answer questions about it, transcribe audio, describe video content, and generate image prompts based on text descriptions.
Multimodal AI in Search
Google's multimodal capabilities enable visual search (Google Lens), combined text+image queries, and video understanding in search results. Users can take a photo of a product and search for where to buy it, or search with an image and text together. This expands SEO beyond text content into visual and video optimisation.
Marketing Applications
Multimodal AI enables automated image tagging and alt text generation, visual competitor analysis, video content transcription and SEO optimisation, accessibility improvement at scale, and creative asset generation from text prompts. Brands that invest in visual and video content quality benefit as multimodal search capabilities expand.
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