About SynMentis
See your website through the eyes of a shopper.
SynMentis uses AI shoppers to explore websites the way a person might when trying to make a real purchase. Each shopper starts with a reason to shop, looks through the available information, compares what matters to them, and makes a decision based on what they find.
The goal is not to create another analytics dashboard. It is to uncover the points in the shopping journey that are difficult to see from clicks, sessions, or conversion rates alone: where shoppers become uncertain, what prevents them from trusting the product, what makes the price feel harder to justify, and what finally causes them to continue or leave.
Instead of testing a website against a fixed script, SynMentis gives AI shoppers room to explore. Their journeys produce evidence about what they encountered, how that affected the decision, and what could be changed to make the experience clearer and more convincing.
What the product is built around
Three principles shape how we approach AI shopper testing.
Think like a shopper
The product starts with a shopping goal, not a dashboard. AI shoppers explore a website with their own priorities, questions, and reasons for buying.
Follow the decision
We focus on what happened during the journey: what created interest, what built confidence, what introduced doubt, and what ultimately changed the decision.
Turn findings into changes
A useful test should do more than point out a problem. Findings are connected to evidence and practical suggestions that can be changed and tested again.
From shopper behavior to better decisions
A website can have strong traffic, good products, and plenty of analytics while still losing customers for reasons that are difficult to see. Sometimes the issue is a missing piece of information. Sometimes it is a comparison that never becomes clear. Sometimes the shopper understands the product but still does not feel confident enough to buy.
SynMentis is designed to make those moments easier to find. The AI shopper explores, the test captures what happened, and the resulting findings show where the experience breaks down and what is worth changing.
Then you can change the experience and run the shopper again. The point is not to replace real customers or human research. It is to make it faster and easier to discover important questions before waiting for more traffic to reveal them.