First scan in about two minutes · One-click fixes · No developer needed
How to get your products picked by AI, in three steps.
ecentic simulates how AI shopping agents compare your products, explains why you lose in plain language, and fixes the listing and product data they read.
Simulate
See how ChatGPT, Claude and Gemini compare your products with your competitors'.
AI shopping agents do not read your store the way a human shopper does. They compare structured signals like titles, attributes, pricing, and trust markers across every product in a category in seconds. ecentic recreates that comparison by running your products through ChatGPT, Claude and Gemini and recording what each one picks.
Simulated agents
ChatGPT
Claude
Gemini
What every scan tells you
Who wins the cart
Which competitor each agent prefers, and the reasoning behind every pick.
What carried the decision
The attributes that weighed most in the comparison, from specifications to trust signals.
How models differ
How the same product performs across different models and shopping contexts.
Diagnose
Turn a win-or-lose result into a specific, fixable reason for every product.
A score on its own does not help a merchandising team act. The diagnosis names the cause behind each loss in plain language and ties every finding to a concrete change, so the work moves from wondering why you lost to knowing exactly what to fix first.
The patterns behind most losses
Weak titles
The title does not carry the buying context an agent needs to shortlist you.
Missing specifications
Missing or inconsistent attributes and structured data that agents rely on to compare.
Weak trust signals
Fewer reviews, policies, or trust markers than the competing product that won.
Hard-to-compare descriptions
Copy that makes comparison harder instead of easier, so agents move on.
Optimize
Pick the fixes worth making, click Apply, then rescan to see what moved.
The final step turns the diagnosis into a new title, description and structured data for each product. Nothing changes in your store until you click Apply. ecentic then publishes the fix and records the change, so a rescan can show how the win rate moved.
What happens when you click Apply
One-click publish
The new title, description and structured data go live on Shopify or WooCommerce in one click.
Google Merchant Center
On Shopify, push the published fixes into your Merchant Center feed.
Rescan after every fix
Run the simulation again to see whether the fix moved your win rate.
Frequently asked questions
Common questions about the simulate, diagnose, and optimize loop.
ecentic sends your product data through ChatGPT, Claude and Gemini the way a shopping assistant would, then records how each one compares your listing with a competitor's. The result is a repeatable read on whether agents pick you, and why.
It identifies the concrete reasons a product loses: a title that misses buying context, missing specifications, weak trust signals, or a competitor with clearer structured data. Each finding maps to a specific listing change.
No. Nothing changes until you click Apply on a product. ecentic then writes the new title, description and structured data to your store and records the change.
The first scan runs in about two minutes and returns a Win Rate Report. After you apply fixes, rescan to see how the win rate moved.
First scan in about two minutes · No credit card