Direct answer
AI checkout replay records the path an agent-like browser takes through a commerce task. It exposes the exact state where the task stalls, the facts the AI extracted, and whether payment review is clearly separated from payment execution.
Where it fits
- A merchant wants proof that a flow stops at review before a real charge.
- A SaaS pricing page has multiple discounts and needs a clear default checkout path.
- A form-fill flow has country, tax, shipping, or billing fields that may break automation.
How to run the check
- Choose a target task and define a safe payment boundary.
- Replay discovery, comparison, form fill, cart, and payment review states.
- Store screenshots for blockers such as popups, cookie banners, captcha, login walls, and iframe payments.
- Use the report to rewrite CTA labels, confirmation microcopy, FAQ, and structured facts.
Common risks
- A replay without a payment boundary can test the wrong thing and create unnecessary risk.
- Hidden fees or tax surprises can appear late and change the AI summary of the purchase.
- Third-party checkout iframes can hide context from both users and browser agents.
How AutoBrowse Checkout helps
AutoBrowse Checkout is built around AI checkout replay with task scripts, state timelines, screenshots, fact validation, and conversion-safe recommendations.
Questions teams ask
Does replay run real card payments?
No. It is designed for pre-payment review and safe test credentials.
What happens after a blocker is fixed?
Run the same task again and compare the new replay to the original evidence trail.
Start with the replay preview, then unlock Growth annual when you want live checkout evidence.