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Search behaviour has moved beyond simple text queries, with people increasingly using images, video, voice and visual inputs to find information. People can now upload a photo, record a video, use their camera, speak a question, or combine an image with text to explain exactly what they want.
That shift is making multimodal search SEO increasingly important for brands that want visibility beyond traditional blue links. Google has expanded AI Mode to work across text, images, files and video, while AI-powered visual search can analyse objects, colours, shapes and relationships within an image.
For marketers, the implication is straightforward: your written content, images and videos should no longer be treated as separate SEO assets. They need to work together.
What is multimodal search SEO?
Multimodal search SEO is the process of optimising text, images, video and other content formats so search engines and AI systems can understand the complete context of a user’s query.
Traditional search often starts with words. Multimodal search can start with almost anything.
Someone might photograph a pair of trainers and ask, “What type of shoes are these and what should I wear with them?” Someone might upload a photo of their living room and ask an AI tool for ideas to achieve a similar interior style. A shopper might record a product and ask whether a similar model is available.
Google’s current AI Search experience is designed for exactly these kinds of interactions. AI Mode can use images alongside questions and analyse multiple elements within a visual scene.
This means SEO increasingly has to account for what a page says, what it shows and what its media helps explain.
Why is multimodal search changing the SEO playbook?
The biggest change is not simply that search can understand images. The real shift is that search can now connect information from different formats to better understand what the user is looking for.
Google says its AI Mode can break a visual query into multiple searches, examine objects within an image and combine those results into a single response.
Consider a simple example. A user takes a photograph of a kitchen and asks:
“What are some easy ways to give this kitchen a modern look while keeping the existing cabinets?”
The search experience may need to understand the cabinets, colours, layout, lighting and other visible elements before answering.
A text-only SEO strategy cannot fully address that behaviour.
For businesses, the opportunity is to make every important content asset contribute useful information.
How should you optimise images for AI visual search?
AI visual search works best when an image has clear visual meaning and strong contextual signals around it. That makes image optimisation about much more than adding a keyword to a filename.
Your image SEO best practices should include:
- Use descriptive filenames that explain what the image contains.
- Write useful, accurate alt text rather than inserting keywords unnaturally.
- Place images beside relevant explanatory content.
- Use high-quality images that clearly show the subject.
- Keep important image URLs consistent and crawlable.
- Use relevant structured data and metadata where appropriate.
Google has also recently clarified its preferred-image guidance, including how schema.org markup and og:image can help Google determine image thumbnails for Search and Discover.
The bigger principle is simple: give the image context.
If you publish a photograph of a modern office interior, surrounding copy about office design, workspace planning and the specific features visible in the image creates a much clearer relationship than an isolated image sitting on a page with no explanation.
What should a modern video SEO strategy include?
A video SEO strategy should make the video’s subject, purpose and information easy for search systems to understand.
A video called “Our New Video” gives almost no useful context. A video called “How to Set Up a Home Wi-Fi Router” immediately establishes the subject and likely search intent.
Google’s current video guidance covers indexing requirements, watch pages and VideoObject structured data. Videos can appear across Search, Video mode, Google Images and Discover.
A practical video optimisation framework looks like this:
| Video element | What to focus on | Example |
|---|---|---|
| Title | State the actual topic | How to Set Up a Home Wi-Fi Router |
| Description | Explain the video’s purpose | Step-by-step setup for a standard home router |
| Transcript | Make spoken information accessible | Accurate transcript of the video |
| Thumbnail | Show what viewers will find | Router, cables and setup screen |
| Watch page | Add supporting information | Written setup instructions and FAQs |
| Structured data | Describe the video | VideoObject markup where appropriate |
The important point is that video should not exist as an orphaned asset. A useful video supported by relevant written content can create a much stronger topical relationship.
Why does text still matter in multimodal search?
Text acts as the context layer connecting your images and videos. For example, a running shoe page can combine product images, a comparison video, sizing details and FAQs to give both users and AI systems a clearer understanding of the product.
- Images: Show design, colour and features.
- Video: Demonstrates fit, use and performance.
- Text: Explains specifications, benefits and use cases.
- FAQs: Answer specific customer questions.
This makes multimodal search SEO stronger by connecting visual content with traditional SEO, semantic search and entity optimisation.
What does Google multimodal search mean for UK businesses?
For UK businesses, Google multimodal search creates another way for potential customers to discover products, services and expertise.
The change is particularly relevant to industries where visual information matters, including:
- Retail and e-commerce
- Travel and hospitality
- Property and interiors
- Fashion and beauty
- Automotive
- Manufacturing
- Food and hospitality
- Home improvement
- Professional services with visual demonstrations
A prospective customer might photograph a property feature, upload an image of furniture they like or record a faulty appliance before asking an AI system what it is and what to do next.
Your brand may become part of that answer without the customer ever beginning with a traditional branded search.
That is why visual discoverability deserves a place in the wider SEO strategy.
How can businesses prepare for AI visual search?
Start by auditing the content you already have rather than immediately producing hundreds of new assets.
Look at your most commercially important topics and ask:
- What could a customer photograph or show an AI system?
- Which questions could be answered more effectively through video?
- Do our images have enough context to explain what they represent?
- Can our written content explain what appears in our visuals?
- Are our videos supported by useful pages rather than simply embedded?
Then identify opportunities to connect those formats.
For example, a furniture company could create a detailed buying guide, original product photography, room-setting images, a comparison video and concise answers to questions about size, materials and maintenance.
That gives search systems multiple ways to understand the same subject.
Multimodal SEO is really about making your expertise easier to discover
There is a temptation to treat AI search as another technical optimisation exercise. That misses the bigger opportunity.
Google’s recent Search developments show that people are asking longer, more complex questions and using different forms of input. Google has also highlighted the growing role of original content and first-hand perspectives within AI Search.
The brands that benefit from this shift will not necessarily be the ones producing the most images or videos. They will be the ones creating useful, connected and trustworthy information across formats.
Your article explains the answer. Your image demonstrates it. Your video shows it happening. Your data supports it.
That is the real role of multimodal search SEO.
Frequently Asked Questions
Multimodal search SEO optimises text, images and video so search engines and AI systems can understand content across different formats. It matters because users can increasingly search with combinations of text, images, voice and video rather than relying only on typed keywords.
- Optimise important content across multiple formats.
- Keep the information consistent between formats.
- Focus on useful answers rather than keyword repetition.
AI visual search allows systems to interpret objects and relationships within images, making visual context increasingly relevant to search. Google's AI Mode can analyse multiple elements within an uploaded image and use them to develop a broader response.
- Use descriptive filenames and accurate alt text.
- Surround important images with relevant explanatory content.
- Use appropriate image metadata and structured data.
The most useful image SEO best practices are to make images discoverable, accessible and contextually relevant. Image optimisation should support users first, while giving search systems enough information to understand the subject.
- Use descriptive filenames and meaningful alt text.
- Keep important images technically accessible and crawlable.
- Connect visuals clearly with the surrounding page content.
A strong video SEO strategy can make video content easier for search systems to discover and understand. Google supports video features across several Search surfaces and recommends appropriate video information and structured data on eligible watch pages.
- Give every important video a descriptive title and description.
- Provide accurate spoken content through transcripts or supporting text.
- Build a useful watch page around the video rather than embedding it without context.
No. Multimodal SEO expands traditional SEO by adding more ways for users and search systems to discover and understand information. Technical SEO, useful written content, authority, relevance and search intent remain fundamental.
- Continue building strong topic-focused pages.
- Optimise visual and video assets alongside written content.
- Make every format contribute something genuinely useful.
Businesses should audit their existing content and identify where customers naturally use images, video or combined queries during research. Google's Search products are increasingly designed around multimodal inputs and longer, more conversational exploration.
- Identify commercially important topics and customer questions.
- Create connected text, image and video experiences.
- Strengthen original expertise, context and evidence across the website.
