What this workflow promises
Separate public-page trust evidence from speculation: what policies are visible, what product and merchant facts are consistent, what proof is missing, and what screenshots or fixes should be collected first.
Merchant trust workflow
Merchant Trust and GMC Risk Audit Workflow
A merchant-trust workflow for checking the public signals ecommerce stores need before AI search systems, shopping agents, or Merchant Center style reviews can confidently understand the business.
Evidence stays separated
Crawl facts, structured data, AI spot checks, human review, and inferred fixes are labeled separately so the report does not pretend one evidence type proves another.
What the workflow checks
Each check is designed to produce a concrete store task, not a vague visibility score.
What the user gets
The workflow maps directly to the conversion path: free preview, paid audit, and Fix Pack.
Deliverables
- Merchant trust evidence worksheet
- GMC-style public risk screen
- Policy, contact, price, stock, and proof repair priorities
- Screenshot and retest checklist for follow-up review
Evidence layers
- Policy page discovery
- Footer and navigation link review
- Visible price and stock signals
- Product schema and merchant fact consistency
- Support and contact evidence
- Screenshot collection checklist
Common questions
No. It is a public-page risk screen inspired by merchant-quality signals. It does not access private Merchant Center data or guarantee approval.
AI systems and shopping agents need reliable facts before they can recommend a store. Weak policy, contact, product, or proof signals reduce confidence.
Usually footer policy visibility, contact clarity, product fact consistency, Product schema alignment, and screenshots that prove price, stock, shipping, and returns.
Test your store against this workflow.
Run a free public-page preview first. If the blockers are meaningful, upgrade into the paid audit or Fix Pack path.