What Is Multimodal Search and How Does It Work in SEO?

Search engines are changing the way people discover information online. Earlier, users mainly typed keywords into Google to find websites, products, services and answers. Today, people can search using images, voice, videos and text together. This new approach is known as multimodal search.

For example, someone can take a picture of a product, upload it to Google Lens and ask where to buy it. Similarly, users can search for a place using a photo, ask questions about an image or use their voice to find relevant information.

With the growth of artificial intelligence (AI), Google Lens, Circle to Search and AI-powered search experiences, multimodal search is becoming an important part of the modern search journey.

For businesses, this means Search Engine Optimisation (SEO) is no longer just about optimising website content with keywords. Brands also need to make their images, videos, product information and other digital content easy for search engines to understand.

In this guide, we will explain what multimodal search is, how it works and how businesses can optimise their websites for this evolving search experience.

What Is Multimodal Search?

Multimodal search is a search technology that allows users to find information using multiple types of inputs, including text, images, voice and video.

Traditional search generally depends on written keywords. Multimodal search goes beyond text by allowing search engines and AI systems to understand different types of information together.

One popular example is Google Lens, which allows users to search for information using their smartphone camera, screenshots or uploaded images. In simple terms, multimodal search helps people search not only by describing what they want but also by showing or speaking about it.

How Does Multimodal Search Work?

Multimodal search uses artificial intelligence, machine learning, computer vision and natural language processing to understand different types of search inputs.

Here is how the process generally works:

1. User Provides Different Search Inputs

The process starts when a user enters a search query through text, voice, an image or a video.

For example, a customer uploads a photograph of a pair of shoes and asks, “Where can I find shoes like these?”

2. AI Understands the Input

AI models analyse the information provided by the user. Computer vision helps identify objects, colours, shapes and other visual details, while natural language processing helps understand the user’s written or spoken question.

3. Search Engines Identify Relevant Information

After understanding the query, the search system looks for relevant information across its available indexed content.

It may identify matching products, web pages, images, videos or other useful sources.

4. AI Connects Different Types of Information

AI systems can combine information from different sources to understand the user’s search intent more accurately.

For example, when someone uploads a picture of a living room and asks for modern furniture ideas, the system can understand the furniture, colours and overall room style.

5. Relevant Search Results Are Displayed

Finally, the search engine provides relevant results, which may include website links, images, videos, product listings and AI-generated responses.

This process helps users discover information in a more natural and convenient way.

Why Is Multimodal Search Important for SEO?

Multimodal search is creating new opportunities for businesses to improve their online visibility. Customers are no longer limited to typing keywords when looking for products, services or information.

1. Improves Image Search Visibility

Images are an important part of online discovery. When businesses use relevant images with descriptive filenames, useful alt text and supporting content, search engines can better understand their visual assets.

This can help businesses improve their visibility in Google Images and other visual search experiences.

2. Supports AI-Powered Search Experiences

AI-powered search systems can understand information from different formats. Businesses that publish useful, well-structured content supported by relevant images and videos can make their information easier to understand.

However, there is no guaranteed ranking method or special optimisation that ensures inclusion in AI search results.

3. Creates More Opportunities to Reach Customers

A customer searching for a product through a photograph may discover a business website even without knowing the product’s exact name.

This creates another discovery opportunity for e-commerce stores, local businesses and service providers.

4. Makes Content More Accessible

Optimising images, adding video captions and providing descriptive text helps different users understand website content.

It also makes information easier for search engines and AI systems to interpret.

5. Supports a Better User Experience

People can search in the way that feels most convenient to them. They can type a question, upload a picture or use voice input.

Businesses that provide useful information in different formats can create a more helpful website experience.

How to Optimise Your Website for Multimodal Search

Businesses should expand their SEO strategies beyond traditional keyword optimisation. The following practices can help make website content more accessible to modern search technologies.

1. Optimise Images with Relevant Alt Text

Image optimisation is one of the most important parts of multimodal SEO.

Use descriptive image filenames and write meaningful alt text that explains what an image shows.

For example:

Avoid keyword stuffing. Alt text should describe the actual image naturally.

2. Publish High-Quality Images and Videos

Use original, relevant and high-quality visuals throughout your website.

For example, a digital marketing agency can publish images explaining SEO strategies, social media campaigns, website development and AI automation services.

Videos can also explain complex topics through demonstrations, tutorials and educational content.

Make sure media files are properly compressed so they do not negatively affect website loading speed.

3. Add Descriptive Captions and Context

Search engines need context to understand the purpose of visual content.

Place images near relevant headings and paragraphs. Add captions wherever they help explain the information.

For example, an image showing an SEO performance dashboard should appear near content discussing website traffic, keyword rankings or search performance.

4. Use Structured Data

Structured data helps search engines understand the information available on a webpage.

Depending on the page content, businesses can use relevant schema types such as:

Always ensure structured data accurately represents the visible content on the page. Adding schema does not guarantee rich results or AI visibility.

5. Optimise Content for Voice Search

Voice searches often use natural, conversational language.

Instead of focusing only on short keywords, create content that answers real customer questions.

For example:

Use clear headings and provide direct answers before expanding on the topic.

6. Create Helpful and Informative Video Content

Video content can support search visibility and improve audience engagement.

These practices help users and search engines understand what a video covers.

7. Improve Website Speed and Mobile Experience

Most visual searches are closely connected with mobile experiences. Therefore, websites should work smoothly across smartphones, tablets and desktops.

Focus on responsive design, image compression, fast hosting, mobile-friendly navigation and Core Web Vitals.

A technically healthy website makes it easier for users to access information and for search engines to crawl its content.

How to Measure Multimodal Search Performance in SEO

Optimising a website is only one part of an SEO strategy. Businesses should also monitor how people discover their content and which search experiences generate traffic. An important development for 2026 is Google’s introduction of a multimodal search performance report in Google Search Console.

Announced on 24 September 2026, this reporting update introduces a multimodal search type filter in Search Console performance reports. It covers traffic from experiences such as Google Lens, Circle to Search, image uploads to Google Search, and Chrome’s right-click image search.

Common Multimodal SEO Mistakes to Avoid

While optimising a website for multimodal search, businesses should avoid these common mistakes:

Remember, multimodal SEO is not about adding more images and videos. It is about making your website content meaningful, accessible and understandable across different search formats.

How Can Digital Friend Help Businesses with Multimodal SEO?

At Digital Friend, we understand that search behaviour is continuously evolving. Businesses need an SEO strategy that considers traditional search engines, visual discovery and AI-powered search experiences.

As a digital marketing agency in India, Digital Friend helps businesses strengthen their online presence through:

Whether you want to improve your website’s SEO performance or prepare your business for evolving AI search experiences, the right digital strategy can help you build long-term online visibility.

Explore Digital Friend to learn more about our digital marketing and technology services.

Conclusion

Multimodal search is changing how people discover information online. With technologies such as Google Lens, Circle to Search and AI Mode, users can search using images, voice and text instead of relying only on traditional keyword searches.

For businesses, this creates new opportunities to reach potential customers through visual content, informative videos and helpful website resources.

To prepare for this change, focus on image SEO, video optimisation, structured data, conversational content, mobile responsiveness and overall website quality.

The future of SEO is not limited to what people type. It also includes what they see, hear and ask. Businesses that adapt their content strategies to these changing search behaviours can build a stronger foundation for long-term digital visibility.

FAQs

1. What is multimodal search in SEO?

Multimodal search in SEO refers to optimising website content so that it can be discovered through different search inputs, including text, images, voice and video. It helps businesses improve their visibility across evolving search experiences.

2. How does Google use multimodal search?

Google uses technologies such as Google Lens, Circle to Search and AI Mode to understand images, text and other search inputs. It analyses the user’s query and provides relevant information, website links and visual results.

3. Is multimodal search important for businesses?

Yes. Multimodal search creates additional ways for customers to discover products, services and information. It is particularly relevant for e-commerce websites, local businesses and brands that use visual content.

4. How can I optimise images for multimodal SEO?

Use descriptive filenames, relevant alt text, high-quality images, appropriate captions and supporting webpage content. Also, ensure images are properly compressed and mobile-friendly.

5. What is the difference between traditional search and multimodal search?

Traditional search mainly relies on text-based queries, while multimodal search supports multiple input formats such as images, voice, video and text. This allows users to search in more natural and flexible ways.

6. Does multimodal search replace traditional SEO?

No. Multimodal search does not replace traditional SEO. Website quality, relevant content, technical SEO, internal linking and helpful information remain important for online visibility.

7. How can businesses track multimodal search traffic?

Businesses can use Google Search Console’s multimodal search type filter in the Performance reports to analyse eligible traffic from supported visual search experiences.