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From invisible to chosen in three steps.

How it works

From invisible to chosen in three steps.

How ecentic works: simulate how GPT-4, Claude, Gemini, and Perplexity compare your products, diagnose why you lose, and optimize titles, descriptions, and structured data to win more AI-assisted carts.

Live in three steps.

Connect your store and Ecentic does the rest.

Connect your store

Install on Shopify or WooCommerce in about two minutes. No developer needed.

See where you lose

Ecentic asks the top AI shopping agents to shop your catalog and shows you exactly which products they skip — and why.

Get picked

One click rewrites your listings so agents recommend you first. Then watch your AI visits and sales climb.

01

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 — titles, attributes, pricing, and trust markers — across every product in a category in seconds.

ecentic recreates that comparison. It runs your products through GPT-4, Claude, Gemini, and Perplexity at once and records the outcome for each model:

  • Which competitor each agent prefers and why
  • Which attributes carried the most weight in the decision
  • How the same product performs across different models and shopping contexts
02

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 step explains the cause behind each loss in language your team can use.

Most losses fall into a few patterns:

  • A title that does not carry the buying context an agent needs
  • Missing or inconsistent specifications and structured data
  • Weak trust signals compared to a competing product
  • A description that makes comparison harder instead of easier

Each finding is tied to a concrete change, so the work moves from "why did we lose" to "here is exactly what to fix first".

03

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.

You stay in control of how much is automated:

  • Review and publish each change in one click
  • Enable auto-publish for products where the loop has earned trust
  • Re-run simulations continuously so listings stay optimized as models drift

Because every change is tracked, you can measure the lift in win rate and the agent traffic that follows.

04

Frequently asked questions

Common questions about the simulate, diagnose, and optimize loop.

How does ecentic simulate AI shopping agents?

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.

What does the diagnosis actually tell me?

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.

Do I have to publish changes automatically?

No. Optimizations are approval-ready. You can review and publish in one click, or enable auto-publish for products where you trust the loop. Either way, changes are tracked so you can measure the impact on win rate.

How long before I see results?

The first scan runs in about two minutes and returns a Win Rate Report immediately. From there, daily or continuous simulations keep the diagnosis current as your catalog and the underlying models change.

See pricingRun your free scan
Get picked by AI

Ready to be the product agents recommend?

Install free on Shopify or WooCommerce and see your AI score in minutes.

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ecentic

The optimization platform for the AI agent economy. Simulate, diagnose, and win every AI shopping agent's recommendation.

Built for the agent economy
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Made for merchants who refuse to be invisible to AI.