Why You Should Use Multimodal AI Search Optimization
Multimodal Search allows users to search via image, voice or text. This boosts the customer experience whilst increasing conversions for the merchant.

Published June 5, 2025.

Multimodal search offers great benefits to any eCommerce store. As eCommerce evolves, customers want to feel the ease of their online experiences growing. This means more intuitive ways to search, in whatever method suits them best. Multimodal AI search optimization revolutionizes product discovery by using various input methods to create accurate and context-rich results.
What Is Multimodal Search
Multimodal search is search technology that uses multiple input methods such as:
Text
Voice
Images
To produce accurate results in the way that customers find easiest. Searchers can also use two methods of data input to find a result, for example an image and textual inquiry. This will help increase the accuracy and relevance of the search.
What Are The Benefits Of Multimodal Search
Leveraging large language models for multimodal search provides a huge amount of transformative benefits to eCommerce site search. This adds value for brands and shoppers. Let’s take a look at some of the benefits.
Improved Customer Experience
As an eCommerce brand, ensuring that your shoppers have the best experience possible is key in order to ensure they return back to your store. Multimodal search combines different modalities and input methods so customers can search in the way that suits them best.
Creating efficiency for customers is key. Allowing customers to search in the way that’s most convenient for them is a great way of showing them that you value their custom, and their experience.
Removing any friction from the way customers search means that there is a much higher likelihood of desired products being discovered. Helping them on their journey fosters loyalty, and repeat visits.
Enhanced Product Discovery
Many items can have specific names or keywords, particularly in industries where there are a lot of SKUs. Allowing multimodal search means that there is more chance of shoppers actually finding what they are looking for. This enhanced product discovery is great for your business.
For example, in fashion, certain items can have specific names that shoppers don’t know. However, they can input an image of what they are looking for, through multimodal search, and they are therefore much more likely to find their product.
Boosted Conversions
It goes without saying, but the easier it is for customers to find their desired items, the more likely they are to spend money on your store. The whole goal of maximizing search potential is to increase sales, and multimodal search achieves this.
By improving relevance and usability, barriers to sale completion are reduced. Furthermore, through reducing the time to decide, impulse purchases will rise and cart abandonment will decrease. Another way of achieving this is through using merchandising and personalization within your search function.
Increased Inclusivity
As we become more aware of the different ways people search and use eCommerce stores, it’s important to make space for the variety of ways people engage with brands. There are diverse user needs, and multimodal search caters for these.
For example, visually impaired individuals can use voice search. Language barriers can be addressed by multimodal image search. Text search can be used for those operating on a device that doesn’t include advanced functions.
Meeting diverse customer needs increases sales whilst demonstrating that you are a brand who values their customers.
Conclusion
Multimodal AI search optimization is the way forward when it comes to eCommerce site search. It provides many benefits over a traditional search function, which brings benefits to both brand and shopper. Customers feel valued and cared for, whilst businesses will see their sales improve. If you haven’t already, now might be a great time to utilize multimodal search on your eCommerce website.