How it works
From invisible to chosen in three steps.
Ecentic simulates how AI shopping agents compare your products, explains why you lose in plain language, and rewrites your listings so the next comparison goes your way.
- First scan in about two minutes
- Approval-ready rewrites
- No developer needed
Simulate
See how every major AI shopping model compares your products against the competition, in real time.
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 catalog through the top models at once and recording the outcome for each one.
Simulated agents
ChatGPT
Claude
Gemini
Perplexity
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
Approve the highest-impact changes and keep listings tuned as the models evolve.
The final step converts the diagnosis into approval-ready listing updates. Ecentic rewrites titles, descriptions, and structured data for maximum agent selection and queues them for review. Every change is tracked, so you can measure the lift in win rate and the agent traffic that follows.
You choose how much is automated
One-click publish
Review each rewrite and push it live to Shopify or WooCommerce in a single click.
Auto-publish
Enable it for products where the loop has earned your trust.
Continuous re-optimization
Simulations keep running, so listings stay tuned as the underlying models drift.
Frequently asked questions
Common questions about the simulate, diagnose, and optimize loop.
ecentic sends your product data through the major AI models the same way a shopping assistant would, then records how each one compares your listing against competitors. The result is a repeatable read on whether agents pick you, and why.
First scan in about two minutes · No credit card
Ready to be the product agents recommend?
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Made for merchants who refuse to be invisible to AI.