An AI Commerce Pathway Audit is not a buzzword exercise.

Done well, it answers a practical question: which next path fits this merchant right now, and what needs to be fixed before that path is worth deeper work?

The output should be one primary recommendation, not a menu of every possible protocol.

The audit starts with prerequisites

Before choosing a platform path, the audit has to check whether the basics hold up.

If product pages are not crawlable, product identity cannot be verified, policies are missing, or no usable source catalog exists for a feed-dependent path, the recommendation should not jump into implementation. It should say not yet and name the prerequisite fix.

  • Product pages can be reached and read.
  • Product identity, price, and availability can be verified.
  • Core trust and policy pages exist.
  • A usable source catalog exists when the path depends on feed or catalog work.

Then it checks fit

Fit is where the audit connects the merchant's store to the next path. The same answer will not fit every merchant.

A Shopify merchant with viable foundations may be a Shopify path candidate. A custom-stack merchant with backend control and direct-purchase goals may need ACP readiness discussion. A merchant with strong Google-side adjacency and catalog maturity may need UCP readiness. A merchant with weak catalog data may need feed-first cleanup before any of that.

Prerequisites
Fit checks
Primary path
Staged next steps

The output should be narrow

The strongest pathway output is usually one primary recommendation with a clear reason, prerequisite list, and staged secondary options.

This avoids a vague report that says everything is possible. It also protects the merchant from paying for integration work before the store or catalog is ready.

What the audit should not promise

It should not promise platform activation, approval, eligibility, rankings, sales, or acceptance. It should improve readiness and decision quality.

What merchants should bring to the intake

A good intake does not ask a merchant to self-diagnose ACP, UCP, MCP, or Shopify as the first step. It asks for practical context.

The minimum useful inputs are website URL, commerce platform, checkout or PSP, regions sold into, product count range, and goals. With that context, the audit can keep the recommendation grounded in the store's real constraints.

  • Website URL
  • Commerce platform
  • Checkout or PSP
  • Regions sold into
  • Product count range
  • Goals: AI search, feed readiness, direct purchasing, all surfaces, or unsure

Sources Checked