Commerce Truth workflows

Ecommerce audit workflows for Shopify SEO, GMC feed, checkout, payout, and tracking evidence.

AI Store Audit is built around a practical workflow layer: start from the audit or checklist query, collect the evidence a store owner can verify, separate commerce facts from AI-readiness notes, and produce a reviewed snapshot or Fix Pack only when the evidence justifies it.

The audit flow has three gates.

Each gate prevents a common audit failure: using an internal concept as the entry point, mixing dashboards that measure different things, or giving recommendations without a retest path.

Route the audit intent

Start with the searched task: ecommerce SEO audit, Shopify audit, checklist template, GMC feed issue, checkout blocker, payout mismatch, or tracking gap.

Collect commerce evidence

Keep crawl facts, product data, Merchant Center rows, checkout screenshots, payout exports, tracking reports, and AI-readiness notes in separate evidence lanes.

Ship the next artifact

Turn the workflow into a free checklist, reviewed 1-page Truth Snapshot, focused audit, or Fix Pack with owner and retest criteria.

Start with the workflows that match buyer intent.

These pages are designed as service and method assets, not filler articles. They map directly to free templates, reviewed Truth Snapshots, focused audits, and repair packages.

Run a free commerce evidence preview first.

Submit a store URL and platform. The preview checks public evidence first, then shows whether the workflow should move into a paid audit or Fix Pack. For template intent, start with the checklist generator instead.