AI search

It understands the request, not just the words

Your customer types the way they'd speak. StoreGentic takes them to the right products even when the words don't match.

85.87% of searches lead to a click
+83.75% more searches turning into orders
5 languages on the same catalogue

The problem

Why classic search leaves money on the table

It matches strings of characters. If the customer doesn't use your exact words, they find nothing — and it never tells you.

  • Describe a product instead of naming it: empty page.
  • One typo wipes out a search with real buying intent.
  • In your other languages, nobody ever wrote the synonyms.
  • Results are ranked by text match, not by likelihood of purchase.

The answer

What it actually does

It connects meaning to products

“Thermal flask” and “water bottle” land on the same products, without you having to say so.

It works the same in every language

No synonym lists to keep, market by market. That is where most multilingual projects run aground.

It puts what sells at the top

Results are reordered by real relevance, not by how many words happen to match.

It tells variants apart

Search for “navy blue backpack” and you get navy blue, not twelve colours to judge by eye.

It survives typos

Typing mistakes, wrong plurals, missing accents: the search still finds the right products.

It tells you how much it sold

Clicks, baskets, orders and revenue generated. A number you can take into a meeting.

The outcome

Measured on a real catalogue

On a corporate gifting catalogue in five languages, in July 2026, 85.87% of searches ended with a product page being opened.

Try it on your own catalogue

Send us your product feed. The first thing you see is your own search finding what it misses today.

No commitment, no credit card.