Checklist

AI Shopping Agent Readiness

Use this checklist to make product and policy data easier for AI shopping systems to discover, compare, and route to the right human-owned checkout flow.

Discovery

Product URLs are discoverable

Product and category URLs are linked, included in sitemaps, and not hidden behind fragile client-only navigation.

Add product/category URLs to sitemaps and ensure important product pages render useful HTML.
Product Data

Product structured data is complete

Product pages expose price, availability, SKU, brand, images, reviews, and offer data where applicable.

Audit JSON-LD product markup and fill missing offer, availability, shipping, and return policy fields.
Product Data

Product feed is clean and current

Catalog feeds are up to date, deduplicated, and aligned with on-page product data.

Reconcile feed values with product pages and document update frequency.
Product Data

Agent search and checkout eligibility are explicit

Catalog data distinguishes products that agents may search from products they may purchase and includes required policy links.

Map search and checkout eligibility plus return, privacy, terms, and warning URLs to each agent-commerce feed or channel.
Agent Access

Crawler and AI-agent access is intentional

robots.txt, bot policies, and CDN rules reflect an intentional choice rather than accidental blocking.

Review AI/search bot access, document allow/block decisions, and test public pages from a neutral client.
Agent Access

AI-readable site notes exist

The site has clear machine-readable pointers such as llms.txt or equivalent documentation for key content areas.

Add llms.txt or a concise AI-readable guide that points to product, policy, and support resources.
Policy

Shipping, returns, and trust policies are explicit

Agents and users can find shipping fees, return windows, support contacts, and fulfillment constraints.

Publish structured policy pages and link them from product and checkout flows.
Protocol

Protocol ownership is assigned

A named team owns UCP/ACP monitoring, readiness decisions, and change review.

Assign an owner across ecommerce, SEO, engineering, and payments.
Checkout

Checkout, dispute, and support handoff are tested

A test flow covers agent-mediated checkout, user confirmation, failed payment, dispute handling, and support escalation.

Run a sandbox purchase through authorization, failure, dispute, and support escalation; document each owner and consent point.
Checkout

Agent purchase confirmation is explicit

The shopper confirmation point is clear for price, shipping fees, substitutions, returns, and payment credentials.

Define where shoppers approve price, payment, shipping fees, substitutions, and support handoff.
Checkout

Agent purchase limits are defined

Spend limits, item restrictions, substitution rules, cancellation windows, and support escalation paths are clear before an agent completes a purchase.

Document user confirmation, spend limits, substitutions, cancellation, and support handoff for agent-mediated orders.
Monitoring

Agentic commerce changes are monitored

The team has a recurring process for tracking protocol, platform, and search changes.

Set a weekly review cadence and record source-backed changes in a changelog.
Monitoring

Measurement can separate AI-shopping signals

Analytics and logs can identify bot access, product-feed issues, and search/agent referrals where available.

Add log review, search query tracking, and event measurement for product discovery flows.