Multimodal marketing refers to how modern systems can do more than simply interpret text, but can now identify other media forms – such as audio, video and imagery – and interpret it, and specifically applying this knowledge to marketing practices.
Multimodal marketing is becoming more important because your prospects are no longer searching in one neat, predictable way. They might type a question, upload a photograph, circle an object on their phone, watch a video, read a review, or ask an AI system to recommend a business that offers the services or products that your own company provides.
This changes the job of content produced and presented for your business online away from being keyword recognition, and instead prioritises painting a bigger picture.
Your website is definitely still important, but it is increasingly only a part of the wider set of signals that can help people, Google, and other AI systems understand what you do, who you help, and why your business is relevant.
Quick Summary
Multimodal marketing content combines different data types such as text and image, image and video, audio and video, reviews, social media posts and structured information. The commercial opportunity is not simply to create more formats. The purpose of it is to give your prospects more ways to understand your business while also providing artificial intelligence more consistent and detailed evidence about your services, expertise, and relevance.
What Does Multimodal Marketing Actually Mean?
In more technical terms, multimodal learning describes systems that can process more than one type of information. In marketing terms, this useful interpretation is much simpler: your business should not rely on written website copy alone to communicate what it does.
We can see that Google is already moving in this direction, as AI Mode can accept questions through text, voice, and images, while Google’s work on multimodal search allows its systems to interpret details within an image alongside the question being asked. That means Google multimodal search is capable of understanding the broader context around what your prospects are looking for, and not solely the words they type.
As a result, all marketing teams need to think beyond the traditional standalone blog post. For example, a useful article could also support a short video, project photographs, social media posts, FAQs, customer reviews, and a case study. That would result in multimodal content that would work more effectively as a collective body of evidence rather than a group of isolated assets.
Why This Matters to Your Business
Google says Lens (their reverse image search engine) now processes more than 25 billion (that’s with a b) queries each month, and that one in four visual searches has commercial intent. This demonstrates that your prospects are already using visual searches to investigate products, places, objects, and services…and it is therefore important to keep up with their preferences, if you wish to benefit from the result of their interest!
To make this point further; imagine you run a company that installs loft conversions. If you were to repeat the term “loft conversions Sussex” throughout your website it would tell an AI system relatively little about your company being qualified, capable, reliable, trustworthy, or differentiated in any other way.
However, by adopting a multimodal marketing approach and supporting that phrase with other sources of information, we can help the AI system become better educated and enable it to help us.Â
Examples of different forms of data sources might include:
- photographs of completed projects with useful surrounding context
- a case study explaining the customer’s problem and your solution
- a video walkthrough of the finished work
- a detailed customer review
- accurate Google Business Profile information
- consistent references to your location, services and expertise elsewhere online.
This same principle applies whether your business sells software, fits commercial interiors, restores floors, or provides professional services. AI search optimisation is increasingly about making your business consistent and understandable, not simply repeating a target phrase.
Your Content Should Answer More Than One Question
Your prospects rarely want only to know what you sell.
They also want reassurance about price, suitability, experience, location, process, and results.
Give Each Format a Job
| Content Type | What It Can Help Your Prospect Understand |
| Website copy | What your business offers and who it is for |
| Images | What your work, product, or outcome actually looks like |
| Video | How your service works or what the experience involves |
| Reviews | Whether other customers trusted your business |
| Case studies | What problems you solved and the benefits of having done so |
| Social content | What your business is doing now and how consistently you communicate |
This is why content marketing and visual search optimisation are starting to overlap more as AI is evolving. Strong content creation gives your leads useful answers, but it can also create clearer signals across multiple platforms.
How to Start Building Multimodal Marketing and Multimodal Content
You do not need to produce everything at once, nor do you need to massively overhaul your current strategy. Start with one commercially useful subject and build outward.
- Choose a question your prospects regularly ask.
- Create a strong anchor asset, such as a service page, guide, or video.
- Add genuine images, demonstrations, diagrams, or project examples where they improve understanding.
- Repurpose useful elements into social media posts, short clips, FAQs, or email content.
- Keep your facts, terminology, branding, and business information consistent across every platform.
This cross-platform consistency is genuinely important.
Multimodal AI and newer generation models can work across multiple data types, but your marketing still needs a clear human strategy behind it. Pushing out more generic content does not automatically create more visibility. Useful, consistent, and credible content gives both your prospects and AI systems more reasons to understand and trust your business.
Multimodal Marketing Is Really About Providing Evidence
The shift towards visual search, multimodal marketing models, and AI-generated answers does not make SEO irrelevant. It broadens what optimisation can involve.
Your website remains important, but your images, videos, reviews, social profiles, case studies, and external mentions can all help build a more complete picture of your business. Generative engine optimisation follows the same commercial logic: it makes it easier for AI systems to identify what your business does, understand its authority, and represent you accurately.
As for your business, multimodal marketing is not about chasing another fashionable format. It is about making sure that wherever your prospects encounter you, they find useful evidence that supports the same clear story – changing their decisions from risky to reassured.
If you’d like to discover ways in which these principles can be applied more effectively into your business, you can request a no-obligation 90-minute marketing review with one of our team.
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If you liked this, you may also like: What is generative engine optimisation (GEO), and why does it matter for business visibility in 2026?
Frequently Asked Questions About Multimodal Marketing
What is multimodal marketing?
Multimodal marketing is the use of different content formats, such as text, images, video and audio, to communicate your business more clearly. It helps your prospects engage with your brand in different ways while giving AI systems more context about what your business does.
What is multimodal content?
Multimodal content combines two or more types of media within your wider marketing. For your business, that could mean supporting a blog post with project images, a short video, FAQs, social media posts and customer reviews rather than relying on written copy alone.
Why is multimodal marketing important for AI search?
AI systems are increasingly capable of understanding multiple data types, including text and image, image and video, and audio and video. The more clear and consistent evidence your business provides across these formats, the easier it can be for AI systems to understand your services, expertise and relevance.
What is Google multimodal search?
Google multimodal search allows your prospects to search using more than typed words alone. They can use images alongside questions through tools such as Google Lens and AI-powered search features, which means the visual content associated with your business can play a greater role in how you are discovered.
How can my business optimise for visual search?
Visual search optimisation starts with using useful, high-quality images that genuinely show your products, services or completed work. Your business should also provide clear surrounding context through page copy, captions, relevant filenames and consistent information so search systems can better understand what those images represent.
Does multimodal marketing replace traditional SEO?
No. Your website structure, written content, technical SEO and keyword targeting still matter, but multimodal marketing expands the range of signals available to search engines and AI systems. Your strongest approach is to combine established SEO with useful images, video, reviews, case studies and other supporting content.
Can multimodal marketing content help generate more leads?
It can, particularly because your prospects do not all prefer to consume information in the same way. Some may want a detailed blog post, while others may respond better to a short video, project photographs or a customer case study, giving your business more opportunities to answer questions and build confidence.
Do I need to create completely different content for every platform?
Not necessarily. Your marketing team can start with one strong piece of content and repurpose it into formats that suit multiple platforms, such as turning a guide into social media posts, short videos, graphics or FAQs. The important part is adapting the content properly rather than copying the exact same asset everywhere.
What is the difference between AI search optimisation and visual search optimisation?
AI search optimisation is the broader process of making your business easier for AI systems to understand, assess and potentially recommend. Visual search optimisation focuses specifically on helping search systems interpret your images and other visual content, so the two approaches increasingly overlap.
How can my business start using multimodal marketing?
Start with a subject your prospects already care about and build a strong core piece of content around it. You can then support it with relevant images, video, reviews, social content or case studies, making sure every format communicates the same clear information about your business, services and expertise.