Every search now ends somewhere.
Nobody can describe a ring. Shoppers arrive holding a screenshot — from Instagram, from Pinterest, from an ex’s wishlist — and the search box demands words they do not have. This retailer let the photo BE the search. Zero-result pages went extinct.
Does this sound like your store?
The inventory was rich. The search box was the doorman.
Jewelry is bought with the eyes and searched with the wrong words. Shoppers arrived inspired — holding an image of exactly what they wanted — and were asked to translate it into catalog vocabulary they had never seen. Most did not try twice.
THE SAME SHOPPER, THE SAME RING — A VOCABULARY TEST VS. A MATCH IN UNDER A SECOND
- Vocabulary was the conversion killer
The catalog spoke jeweler; shoppers spoke feelings and screenshots. Every failed translation was a sale walking to a marketplace with better search.
- Inspiration is visual and impatient
Social media hands shoppers a picture, not a product name. The store that can accept the picture wins the moment; the one that cannot, funds a competitor’s ad.
- Tagging could never keep up
Human keyword tagging is finite; the ways people see a ring are not. The gap between them was the zero-results page.
- Dead ends taught shoppers to leave
A zero-result search does not just lose one sale — it teaches the shopper this store cannot find things.
The photo is the query.
We built visual search into the storefront: shoppers upload any image — screenshot, photo, saved pin — and the engine understands what it sees, then matches it against the live catalog by visual similarity. Three panels tell the whole story:
1 · What the shopper has
2 · What the engine sees
3 · What the shopper gets
- Understands jewelry, specifically
Not generic image matching — the engine reads metal, cut, setting, stones, and silhouette the way a jeweler’s eye does, so matches feel right, not merely similar.
- The catalog indexes itself
Every product photo is understood on upload. No tagging project, no merch backlog — an 8,000-SKU catalog became fully visually searchable without one keyword written.
- Similar-styles everywhere
The same engine powers “you may also love” on every product page — real visual similarity instead of “people also bought,” which quietly lifts every session.
- Works where shoppers already are
Upload on the site, or send the photo by DM — the store meets the screenshot wherever it lives.
The dead end became a front door.
- Zero-result searches: eliminated
Every photo search returns ranked, in-stock matches. The exit page became an entry point.
- Visual searchers buy more than twice as often
Shoppers who arrive with a picture arrive with intent — the engine finally lets that intent land on a product.
- Invisible inventory became visible
Styles that no keyword ever surfaced now sell — the long tail of the catalog joined the store.
- The DMs got easier too
“Do you have something like this?” now has a one-second answer the team can send with a link — or the shopper finds it herself.
Your customers have been showing you what they want all along.
The screenshots were always arriving — in DMs, in emails, described helplessly over the phone. The store just could not accept them as input. Now it can, and the gap between inspiration and checkout is one upload wide.
What we didn't solve
The search matches what is in stock. A photograph of something the store does not carry returns the nearest real alternatives rather than nothing — but it cannot conjure inventory, and a shopper looking for a discontinued piece still leaves without it.
Can YOUR store accept a screenshot?
If your customers see products they cannot search, tell us about your catalog. We’ll show you the photo-as-query version, before you spend a dollar.
Want results like these?
Tell us where your team is losing hours. We'll show you exactly what automation can do about it — and what it's worth, before you spend a dollar.
30 minutes · No pitch deck · An honest first read