Agent Checkout Score — by VSN

Can AI agents
actually buy
from your store?

AI shopping agents are becoming a new ecommerce customer. Agent Checkout Score sends autonomous agents through your real storefront and tests whether they can discover products, understand variants, add the correct item to cart and reach checkout. Then we show you exactly where the journey succeeds — or breaks.

Test my storeSee what we test

Real browser journeys. Evidence-backed results. No purchases completed during testing.

Agent journey · live trace

  1. Store URL

    PASS

    Mission target

  2. AI shopping agent

    PASS

    Browser session opened

  3. Product

    PASS

    Requested item located

  4. Variant

    PASS

    Size / colour resolved

  5. Cart

    BLOCKED

    Add-to-cart attempted

  6. Checkout

    UNKNOWN

    Pre-purchase state

Illustrative traceno purchase completed

The difference

We don't check whether your store looks ready for AI. We check whether AI can actually shop.

Traditional audits inspect tags, structured data and configuration. Agent Checkout Score goes further. An autonomous shopping agent receives a real mission and interacts with your live storefront through a browser. Every important action is recorded and assessed against independently verified ground truth.

Checklist audit

  • Schema exists
  • robots.txt exists
  • Product data detected
  • Checkout page exists

Agent Checkout Score

  • Can the agent find the product?
  • Can it choose the correct variant?
  • Can it understand price and availability?
  • Can it add the correct item to cart?
  • Can it reach a valid checkout-ready state?

What we test

The AI shopping journey.
Tested end to end.

  1. 01

    Discover

    Can the agent find the requested product?

  2. 02

    Understand

    Can it determine what the product actually is?

  3. 03

    Select

    Can it choose the correct size, colour or configuration?

  4. 04

    Verify

    Can it establish availability, quantity and price?

  5. 05

    Cart

    Can it add and verify the correct item?

  6. 06

    Checkout

    Can it reach the permitted pre-purchase state?

The output

Not an opinion.
An evidence trail.

Journey screenshots, an action timeline, browser evidence, assertion status and the exact failure point. The panel below is an illustrative example — not a real merchant result.

Agent Checkout report · example

Illustrative UI

Mission

Buy Product X / Size L / Quantity 1

  • Product identityPASS
  • Variant selectionPASS
  • PricePASS
  • InventoryPASS
  • Add to cartBLOCKED
  • Checkout readyNOT REACHED

Journey evidence

Product
Variant
Cart

Action timeline

  • 00:00 · Session opened on storefront
  • 00:06 · Search executed for requested product
  • 00:11 · Product page reached, identity confirmed
  • 00:17 · Variant Size L selected
  • 00:21 · Price and availability read
  • 00:24 · Add to cart requested — access block returned

Primary finding

The agent correctly found the requested product and selected the expected variant, but the storefront returned an access block when Add to Cart was attempted.

Early findings

The web was built for humans.
Agents experience it differently.

Anonymized observations from early Agent Checkout runs. No merchants are identified.

01

Add-to-cart blocking

An agent successfully discovered the product, selected the requested option and confirmed availability — then the commerce stack blocked the cart action.

02

Variant inconsistency

A storefront displayed more selectable options than there were purchasable product variations behind them.

03

Agent-visible data gaps

Information obvious to a human shopper was not consistently available in a form an autonomous agent could reliably use.

04

Successful agent checkout journey

On other stores, the agent successfully identified the product, selected the requested option, verified quantity and price, and reached checkout.

Deliverables

From "AI ready"
to exactly what happened.

Agent journey

See how the autonomous shopper navigated the store.

Checkout outcome

Know whether the requested mission succeeded.

Exact blockers

See precisely where the journey failed.

Evidence

Screenshots, states and recorded actions.

Prioritized findings

Understand which issues matter most to the shopping journey.

Recommended actions

Know what should be investigated or changed next.

Who it is for

Built for teams that own ecommerce performance.

Ecommerce brands

Understand whether AI-driven shoppers can actually convert.

Ecommerce directors

Find new conversion blockers before AI shopping becomes a major acquisition channel.

CTO / digital teams

See where existing commerce infrastructure behaves differently for autonomous agents.

Ecommerce agencies

Audit multiple client stores and create a new agent-commerce readiness service.

Enterprise retail

Prepare complex commerce environments for autonomous shopping.

Why now

AI is becoming a customer interface.

Customers are beginning to delegate product discovery, comparison and purchasing tasks to AI. The question for ecommerce businesses is changing from "Can AI understand our website?" to "Can an AI customer actually complete the journey?"

Agent Checkout Score is being built to answer that question with evidence.

Early access

Let an AI shopper
try your store.

We are currently testing a limited number of ecommerce stores as we build the first Agent Checkout benchmark dataset. Submit your store and we will review whether it is suitable for an Agent Checkout Audit.

Submitting a store does not authorize purchases, payments, security bypass testing or destructive actions. See our Privacy Policy.

Agent Checkout Score

by VSN

Autonomous commerce testing for the agentic web.

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