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.
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.
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.
Start with the searched task: ecommerce SEO audit, Shopify audit, checklist template, GMC feed issue, checkout blocker, payout mismatch, or tracking gap.
Keep crawl facts, product data, Merchant Center rows, checkout screenshots, payout exports, tracking reports, and AI-readiness notes in separate evidence lanes.
Turn the workflow into a free checklist, reviewed 1-page Truth Snapshot, focused audit, or Fix Pack with owner and retest criteria.
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.
Use this when broad ecommerce audit intent needs to become an evidence route for SEO, checkout, feed, payout, tracking, merchant trust, or AI readiness.
Open pageShopify-specific laneShopify SEO Audit WorkflowUse this when a Shopify merchant needs technical SEO, Product schema, feed, checkout, payout, tracking, merchant trust, or AI-readiness routing.
Open pageProduct page laneProduct Page AI Readability AuditUse this when priority product pages need clearer facts, schema consistency, proof, FAQs, and AI-citable answer blocks.
Open pageCollection laneCollection Page Buyer Intent AuditUse this when category or collection pages need buyer criteria, comparison language, internal links, and AI-readable shopping context.
Open pageTrust laneMerchant Trust and GMC Risk AuditUse this when public policy, contact, price, stock, proof, and misrepresentation-risk signals need a repair-ready review.
Open pageEvidence boundaryVerified Evidence MethodUse this to understand how crawl evidence, CSV rows, screenshots, AI spot checks, human review, and inferred recommendations stay separated.
Open pageFree templateAI-Citable Product Page ChecklistUse this when a product page needs clearer facts, FAQs, proof links, comparison sections, and schema-ready content.
Open pageSubmit 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.