Agent Checkout Lab Find report

Concept guide

AI agent checkout turns a store flow into a machine-readable task.

An agent needs more than a visible buy button. It needs discoverable products, stable variants, clear prices, navigable cart states, and checkout boundaries that protect the shopper.

Discovery

Agents need crawlable pages, internal links, canonical URLs, product structured data, and inventory signals they can interpret before reaching a checkout.

Selection

Variant names, SKUs, size charts, regional availability, shipping constraints, and final prices should be explicit enough for an agent to explain its choice.

Payment boundaries

Checkout should preserve human authorization, fraud controls, and clear payment ownership. Agent automation must not bypass consent or payment-provider checks.

Run an authorized checkout compatibility test.

Start with the implemented one-time test run today, then use the report and checklist pages to plan deeper store readiness work.

Start the test run