Download websites that use Syte

About Syte

A shopper who photographs a jacket and expects an online shop to return something close to it is asking for a kind of search that keyword indexes were never built to serve. Syte sells into that gap. Visual product discovery reads the catalogue image rather than the product title, which matters in categories where a customer can recognise the thing on sight but cannot name it: furniture, jewellery, fashion, tiles, lighting.

That constraint decides who buys the software. A retailer pays for image driven discovery when the catalogue is big enough that browsing fails and visual enough that words describe the goods badly. An install list therefore reads less like a customer roster and more like a segment definition, weighted toward apparel and homeware and nearly empty of the shops that sell parts, tools or licences, where a part number already does the work. Anyone sizing that segment, or hunting for retailers who have admitted in public that their own search is inadequate, gets more out of the list than a vendor logo wall would ever give them.

Syte has been developing the product since 2015 and keeps it Proprietary, which means there is no source to inspect and no self hosted build to confuse attribution. Detection rests instead on the script and the endpoints an integration pulls into the browser. The limits of that method are worth stating plainly. A retailer who proxies the widget behind their own domain, or who loads it only inside a search overlay on pages our crawler did not open, will be absent from the count.

As of October 2026 we record Syte on 4 sites. The number is a lower bound and not a market share, and a small absolute count in a category like this usually indicates a direct enterprise sales motion rather than distribution through a plugin marketplace, which caps how fast an install base can grow.

For a commercial researcher the useful move is joining the list to the rest of the row: the storefront platform, the country, the top level domain, the other tags on the page. A per domain lookup tells you one shop's answer. An export tells you which kind of retailer has decided that pictures search better than words, and lets you watch that decision spread or reverse across successive releases of the data.