THE SHORT ANSWER
AI product discovery helps a shopper find and understand products. Agentic checkout handles a transaction through an agent-enabled flow. The two depend on different systems, permissions and tests, so a discovery-ready catalog should never be presented as proof of working checkout.
Ask what the visitor can actually do
A product recommendation may show a useful item and send the shopper to the merchant’s website. Another experience may let the shopper choose an offer or begin checkout inside an assistant. Those interfaces can look similar while relying on very different merchant capabilities.
When reviewing a proposal, ask the supplier to describe the customer action at each step. Can the shopper browse, select a variant, obtain a current total, pay, and receive an order confirmation? Replace a broad label such as AI-ready with an explicit list of supported actions and the evidence behind each one.
Create separate acceptance gates
A discovery gate should examine identity, product facts, variant selection, URLs and freshness. A transaction gate should examine the actual checkout integration, payment handling, order creation and exception paths. Confirm the destination’s current requirements before writing either checklist.
Keep approval evidence separate too. A clean local validation report is evidence about the file. A destination receipt is evidence about delivery or ingestion. A successful test order is evidence about a transaction. Combining these into one green status hides gaps that appear only when a customer tries the next step.
Preserve truth at the handoff
An assistant may help someone choose a blue medium jacket, but the merchant still needs to supply that exact selection. If the link opens a generic parent page with a different default variant, the handoff is ambiguous. A price attached to one variant should not be reused for the whole group without support.
Test the handoff on a mobile browser as well as desktop. Check the selected options, the displayed currency and any regional assumptions. This practical exercise often finds inconsistencies that a schema validator cannot see because the file is structurally valid.
Plan the project in two tracks
Give catalog work and transaction work their own owners, dependencies and dates. The catalog team can improve product facts while the transaction team resolves account access, supported flows and order-system behavior. Progress in one track should not be blocked by pretending the other is already finished.
For a first evaluation of Feedaptor, focus on the catalog track: source input, field review and traceable exports. Use the compatibility page to understand current boundaries. If live checkout is a requirement, document it explicitly and verify it with the destination rather than inferring it from a feed format.
ILLUSTRATIVE WORKED EXAMPLE
Make it concrete.
Illustrative acceptance sheet: a jacket feed passes local checks and a file is delivered successfully. The team marks catalog validation and delivery complete, leaves destination acceptance pending, and keeps agentic checkout out of scope until a separate test order is demonstrated.
Your practical checklist
- List supported shopper actions.
- Use separate catalog and transaction owners.
- Test variant-specific landing pages.
- Record delivery and acceptance independently.
- Require a real test flow for any checkout claim.
Common questions
Can discovery work without agentic checkout?
Yes. Discovery can lead to a normal merchant website purchase. Confirm the exact experience supported by the destination.
Is a UCP file enough for checkout?
A file alone does not establish a live negotiated service or transaction integration.
Sources & scope
Official references checked 29 October 2026. Examples are illustrative, not customer results. Platform requirements can change; use current destination documentation for implementation decisions.
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