Why merchant trust matters
Shopping systems need enough public evidence to understand what you sell, whether the offer is consistent, and whether shoppers can find material terms like shipping, returns, refunds, warranty, support, and contact paths.
Check whether public storefront pages expose the merchant trust signals Google Shopping and AI shopping systems need: policies, contact, product data, schema, price, stock, and proof.
Shopping systems need enough public evidence to understand what you sell, whether the offer is consistent, and whether shoppers can find material terms like shipping, returns, refunds, warranty, support, and contact paths.
This precheck cannot see private Merchant Center diagnostics or decide whether Google will approve a store. It only finds public-page signals worth fixing before a deeper audit or appeal workflow.
The tool starts with public crawl evidence, then groups findings into merchant trust buckets that can be reviewed before ordering a paid audit.
Each bucket receives a practical finding, visible evidence, and the first fix to review before deeper manual work.
Each bucket receives a practical finding, visible evidence, and the first fix to review before deeper manual work.
Each bucket receives a practical finding, visible evidence, and the first fix to review before deeper manual work.
Each bucket receives a practical finding, visible evidence, and the first fix to review before deeper manual work.
Each bucket receives a practical finding, visible evidence, and the first fix to review before deeper manual work.
Each bucket receives a practical finding, visible evidence, and the first fix to review before deeper manual work.
Submit a public store URL. Email is optional. The scan checks public pages first and returns a GMC-style trust signal summary directly on this page.
No. This is a public-page risk screen. It checks visible storefront evidence and does not access your Merchant Center account or guarantee approval.
No. The free precheck uses public pages such as the homepage, product or collection candidates, robots.txt, sitemap, schema, policy links, and contact paths.
The paid audit adds screenshot-grade evidence, page-level notes, product and schema review, AI shopping readiness notes, and a prioritized repair plan.
Yes. AI shopping systems also need clear product facts, policies, contact paths, proof, and schema before they can confidently compare or recommend a store.