A shopper is scrolling Instagram and sees a jacket they love. They have no idea what to call it. "Green quilted thing with the corduroy collar" is not a search anyone wins.
So they screenshot it, come to your store, and stare at your search bar. They type "green jacket", get 200 results, give up, and buy from whoever made the post.
Visual search closes that gap. The shopper uploads the photo, and your store finds the closest match in your own catalog. No words required.
Why text search loses the visual sale
Text search is good when the shopper knows the words. It falls apart the moment the product is something they saw, not something they can name.
"That lamp from my friend's living room." "The dress the model wore in the last photo." "Whatever this is." These are everyday shopping moments, and they happen most in the categories where buying is driven by how something looks: fashion, furniture, decor, jewelry, lighting, tile, rugs.
In those categories, the gap between "I want that" and "I can describe that" is where the sale leaks out. The shopper has the intent and the image. They lack the keywords. Your search bar only speaks keywords.
How visual search works in your store
With Emporiqa, the flow is short:
- The shopper opens the chat and taps the photo icon.
- They upload an image: a screenshot from social, a photo of a friend's product, a picture of a competitor's listing, or something they shot themselves.
- The assistant reads the image (category, color, material, distinctive features) and searches your synced catalog for products with those attributes, showing the closest matches from what you sell.
- The shopper picks one and adds it to the cart inside the same chat.
You do not tag images, build a separate index, or configure anything by hand. It works on the catalog you already sync: the assistant matches what it reads in the photo against your product names, descriptions and attributes. A shopper in any of your 65+ supported languages can do this, because they are uploading a picture, not typing.
The competitor-screenshot moment
Here is the use case store owners underrate. A shopper finds a product on a competitor's site, likes it, but wants to compare or buy elsewhere. They screenshot it and bring it to you.
With visual search, that screenshot becomes a recommendation from your catalog. If you carry something close, you just won a sale that started on someone else's page. Without visual search, that shopper had no way to ask you "do you have this?" and they did not bother.
Where visual search pays off, and where it does not
Be realistic about your catalog before you expect miracles.
It pays off when how a product looks drives the purchase: apparel, shoes, bags, furniture, lighting, rugs, decor, jewelry, tiles, art. The more your shoppers buy with their eyes, the more visual search earns its keep.
It does less for products bought on specifications rather than looks: a specific replacement part, a particular supplement dosage, a model number. There the shopper already has the words, and text search or a spec question works better.
Two things decide the quality of the matches: how clearly the uploaded photo shows the product, and how well your catalog is described and stocked. The assistant reads the photo into a short description (category, color, material, style), then finds the closest products that match. If your product titles and descriptions are detailed and your range is wide, the matches feel uncanny. If your catalog text is thin or your range is narrow, it finds the nearest thing you have, which is still better than a dead-end search, but it is not magic. It searches your store, not the whole web.
What it costs
Visual search is part of the standard pay-as-you-go plan. It runs inside a normal conversation at $0.25 per conversation, with the AI costs included. There is no separate image-search fee, no per-upload charge, and no add-on tier. A shopper who uploads three photos in one chat is still one conversation.
The short version
Shoppers increasingly find products with their eyes and screenshots, not with keywords. If you sell anything visual, a shopper who cannot describe what they want is a sale waiting to leak out. Visual search catches it: they upload the photo, your catalog answers.
Want to see visual search on a live catalog? Try the live demo at demo.emporiqa.com, a stocked electronics store where the chat behaves the same way on any catalog. Or add it to your own store: create a free Emporiqa account with $25 of signup credit (about 100 conversations), no card required.
