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What is Multimodal Content in the context of AI Search?
Last updated: August 21, 2025
Content Strategy

Multimodal Content refers to content that incorporates multiple formats, such as text, images, audio, and video. As AI models become increasingly multimodal, they will be able to understand and process information from all these formats. This means that optimizing for AI search will require creating and structuring content in various modalities to appeal to the diverse sourcing preferences of different AI models. For example, a comprehensive strategy might include a blog post, an accompanying YouTube video, and an infographic to cover a single topic.

Related Keywords
MultimodalContent FormatVideo SEOImage SEOAI Content

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Ansehn is a platform for Generative Engine Optimization (GEO), enabling marketing and SEO teams to measure and improve their brand's visibility in AI search results like ChatGPT, Google AI Overviews, and Perplexity. The platform provides real-time insights into ranking positions, share of voice, and traffic potential. Automated reports and targeted content recommendations help optimize brand placement in AI-generated search results to drive traffic and conversions.

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