For global builders, AI eventually lands in whether the product can accept payment, operate across regions, and feed growth systems with clean data.
Check payment methods, tax fields, refund flows, and failed-payment messaging for target markets.
If an AI agent buys for a user, the user needs to see authorization scope, spending limit, merchant, refund, and dispute path.
Add four fields to AI shopping flows: authorized party, spend limit, validity window, and revocation path.
Brands should treat AI shopping as more than upstream traffic. Payment, refund, risk, and support rules need to be understandable by the agentic flow.
Align payment policy, refund policy, risk-order handling, and user-authorization language.
Brands need consistent titles, prices, inventory, variants, shipping, and returns before AI channels can quote and transact reliably.
Review 20 priority SKUs across catalog fields, page copy, FAQs, and support knowledge.
Merchants need separate attribution, order source, support responsibility, and authorization records rather than only conversion counts.
Record source, authorization, recommendation reason, product version, and refund path for agent orders.
Product pages, FAQs, comparison pages, and policy pages need to answer fit, shipping, returns, subscriptions, warranty, and inventory questions.
Rewrite each priority product as 10 buying questions with answers, not only feature bullets.
Brands need product pages, FAQs, order data, return policy, and escalation paths to reference the same source of truth.
Check whether support knowledge covers priority products, order status, delivery timing, returns, and exceptions.
AI ad systems need product feeds, conversion events, margin fields, and lifecycle data before automated optimization can be trusted.
Audit product feed accuracy, conversion-event completeness, and profit or refund data feedback.