Agents might get shoppers to your door.
But only you can keep them there.
Being visible to AI agents is table stakes — the real win happens once a shopper actually lands on your site. Onsite discovery has to convert as well as, or better than, whatever brought them there: fast, accurate search, try-on that removes doubt, and product data clean enough to back it up.
Find it. Try it on. Never leave the page.
Trimodal search, virtual try-on, and the data enrichment underneath both — the discovery layer that lives on your storefront, not off it.
Trimodal search
Three ways to describe what a shopper wants, one query.
Natural language understands intent, not keywords — semantic embeddings match meaning, so "lightweight jacket for a cold office" works even when no product has those words.
Precise color matches from a patent-pending, 1,000-color palette instead of a handful of tagged swatches.
Image similarity takes a photo — a screenshot, an inspiration pic — and finds the closest real match in the catalog.
All three run against the same trimodal engine, so results are fast and consistently accurate regardless of which way a shopper searches — no separate systems bolted together, no accuracy trade-off for speed.
Virtual try-on
Try-on lives both on the product page and as a full-screen experience, composing fast enough to feel instant rather than a loading spinner. It works across categories — not just one type of garment — and shoppers can build a full outfit and check out from inside the try-on view, or save an outfit to try on again instantly later without recomposing from scratch.
PDP + full-screen
Try-on at the product page for a quick look, or full-screen for the complete experience.
Multi-category, full outfits
Mix categories into one outfit and check out directly from the try-on view.
Saved outfits
Save an outfit once, try it on instantly next time — no recomposing.
Visualizations
Coming SoonLay-flat and on-model compositions, generated straight from catalog imagery — in development now.
Data enrichment & cleaning
Search is only as accurate as the catalog behind it. cleanerGPT rewrites keyword-stuffed titles, fills gaps, and scores completeness — the same cleanup that turns unusable dropshipping and wholesaler feeds into a catalog trimodal search can actually work with.