Blog · Multimodal AI search
Multimodal AI Search: Optimizing Video, Images and Audio
Priya Bothra · September 18, 2026
Multimodal AI search means people can ask with a photo, a video, their voice or a file, and AI systems can draw on images, video and audio when forming answers. For brands, it changes two things: how customers find you, such as by pointing a camera at a product, and what counts as evidence, where videos, images and podcasts become sources alongside web pages. Brands that publish only text, or whose visual and audio content lacks clear context, are harder for these systems to use.
This article covers what has changed, what the evidence says about video's role in AI visibility, and practical steps for making images, video and audio useful to multimodal systems.
What multimodal search looks like in 2026
Visual search is large and growing. At Google I/O in May 2025, Sundar Pichai said Lens had grown 65% year over year, with more than 100 billion visual searches already that year.
The search box itself is multimodal. At I/O 2026, Google announced the "biggest upgrade to our Search box in over 25 years," supporting input from text, images, files, videos and Chrome tabs, rolling out wherever AI Mode is available.
Video is a major AI source. Profound's citation analysis found YouTube among the top cited domains in Google AI Overviews and Perplexity. Pew Research found YouTube among the three most frequently linked sources in Google's AI summaries, alongside Wikipedia and Reddit.
Video mentions correlate with AI brand visibility. Ahrefs' 2026 benchmark reported that across 75,000 brands, YouTube mentions were the strongest signal of AI visibility among the factors studied. It is a correlation, not proof of cause, but it is a notable one.
Why multimodal changes brand visibility
Input: customers ask differently
A shopper photographs a jacket and asks "where can I buy this or something similar under $200?" A homeowner films a leaking pipe fitting and asks what part they need. A developer uploads an error screenshot. In each case, the AI system has to recognize products, parts or interfaces from images and connect them to sources that explain them.
If your product images, part photos or interface screenshots are not published with clear context, the system has less to match.
Evidence: formats beyond text become sources
When AI answers cite videos, tutorials, reviews and demonstrations become evidence for recommendations. Brands discussed in widely watched, credible videos have more material supporting them.
How to make images useful to AI systems
- Publish original, high-quality product images from multiple angles, including in-use shots.
- Write descriptive alt text that states what the image shows, including product names and key attributes where relevant.
- Place images near relevant text, such as specifications or instructions, so context is clear.
- Use descriptive file names instead of camera defaults.
- Keep product images consistent across your site, feeds and marketplaces.
- Include images of parts, labels and model numbers for products customers may need to identify or replace.
- Add Product structured data with image URLs where it reflects visible content.
How to make video useful to AI systems
- Publish on platforms AI systems cite. YouTube appears frequently in AI citations.
- Use descriptive titles and descriptions that state what the video covers, in the language people use to ask.
- Provide accurate captions and transcripts. Text versions make spoken content easier to index and quote.
- Use chapters so specific segments can be matched to specific questions.
- Say key facts out loud and show them on screen, such as product names, model numbers and steps.
- Embed videos on relevant pages with a text summary.
- Encourage independent video coverage, such as honest reviews and creator demonstrations with proper disclosure of any relationship.
How to make audio useful to AI systems
- Publish transcripts for podcasts and webinars on your website.
- Write episode pages with summaries, key points and guest credentials.
- Name people and topics clearly in titles and descriptions.
- Pitch expert guests to podcasts in your field. Appearances create independent mentions.
Content repurposing across formats
A practical approach is to plan each important topic across formats:
| Topic asset | Text | Video | Image | Audio |
|---|---|---|---|---|
| Product launch | Answer-first product page | Demo with chapters | Product images with alt text | Podcast interview with transcript |
| How-to | Step-by-step guide | Tutorial with captions | Annotated screenshots | Short audio explainer, if relevant |
| Original research | Report page with key findings | Presentation video | Charts with descriptive text | Discussion episode |
Consistency across formats matters. The same facts should appear in the text, the video and the image captions.
Common mistakes
Text-only brands. Missing from video and visual sources AI systems draw on.
Videos without transcripts or captions. Less content for systems to index.
Generic stock imagery. Adds little that visual search can match to your products.
Key facts only in images. Harder to extract than text.
Inconsistent facts across formats. A video quoting an old price contradicts the product page.
A hypothetical example
A hypothetical power tool brand notices that AI answers about "which cordless drill for drilling into concrete" often cite YouTube reviews featuring competitors. Its own channel has few videos, and its product pages show only studio images. It creates tutorial videos with chapters for common tasks, publishes transcripts, adds in-use photos with descriptive alt text, photographs model number labels for replacement part searches and sends products to independent reviewers without conditions on their opinions. It then tracks which videos AI answers cite for its priority prompts.
How Bob Builds AI helps
Bob Builds AI's Visibility Monitoring shows which sources AI models cite for your prompts, including video and community sources, so you can see where multimodal content would close gaps. Brand Memory keeps facts consistent across every format you publish.
FAQ
What is multimodal AI search?
Multimodal AI search lets people search using images, video, voice or files as well as text, and allows AI systems to draw on images, video and audio when answering. Google's redesigned search box, announced in 2026, accepts text, images, files, videos and Chrome tabs as input.
Does video content help AI visibility?
Evidence suggests it matters. YouTube is among the most cited sources in Google's AI summaries and Perplexity, and Ahrefs' 2026 benchmark found YouTube mentions were the strongest signal of AI brand visibility among the factors studied, though that is a correlation rather than proof of cause.
How do I optimize images for AI search?
Publish original, high-quality images with descriptive alt text and file names, place them next to relevant text, include images of labels and model numbers where useful, keep images consistent across channels and use accurate Product structured data where it reflects visible content.
Do AI systems read video transcripts?
Transcripts and captions make spoken content available as text, which is easier for search and AI systems to index and quote. Publishing accurate captions, chapters and on-page summaries improves how video content can be used.
How big is visual search?
Google said at I/O 2025 that Lens had grown 65% year over year, with more than 100 billion visual searches that year at the time of the announcement.
Should podcasts be part of an AI visibility strategy?
Podcasts can help when episodes have transcripts, clear summaries and named guests. Appearing as a guest on relevant podcasts also creates independent mentions, which public research links to AI visibility.
What is the first step toward multimodal readiness?
Audit your most important topics and products: check whether each has clear images with alt text, a video with captions and chapters, and consistent facts across formats. Fill the biggest gaps for your highest-value prompts first.
Conclusion
Search is no longer only typed text, and evidence is no longer only web pages. Customers search with cameras and voice, and AI systems cite videos and draw on images. Brands that publish clear, consistent information across text, image, video and audio give these systems more ways to find and trust them.
Start with your top five products or topics and check each one across formats. Where a video, transcript or descriptive image is missing, add it. Bob Builds AI can show you which formats AI answers cite in your category.