Shoppers who use your search bar are your most valuable visitors. They know what they want. They are ready to buy. And the experience you give them in those first few seconds shapes whether they convert or leave.
Industry research consistently puts search-initiated sessions at 2 to 3 times higher conversion rates than regular browsing. That gap reflects intent. A shopper who types something into your search bar is further along in their decision than someone casually browsing categories.
The question is not whether search matters. It is whether you are getting everything you can from it.
The search experience most shops have not cracked yet
Most eCommerce shops have not invested deeply in search, and it shows. A shopper types a product name with a small typo and gets zero results. They search for "running shoes" and miss listings tagged "sneakers." They use a synonym the shop owner did not think to map, and find nothing.
These are not catastrophic failures. But they add up. And because most shops do not systematically track what their visitors searched for, or what happened next, the opportunity stays invisible.
AI-powered search fixes all of this automatically. No manual synonym lists. No rule maintenance. Just accurate, fast results for every query.
The likes of Amazon and Zalando have invested heavily in search. Their engines understand typos, synonyms, and shopper intent. They surface relevant results in milliseconds. They learn from behavior over time.
Until recently, this level of search quality required a large technical team and a significant engineering budget. It was simply out of reach for most independent shops, regardless of platform.
That changes today.
Aqurate Search brings the search quality you find on large retail platforms to shops of any size, with no engineering work required.
Here is what it does in practice:
Due to the native integration with Gomag, setup takes one connection and 24 hours of training. No developer required.
Aqurate Search is available now for all Gomag shops.