Schema, content, policy, trust signals, and competitive positioning — the full checklist that determines whether AI shopping engines recommend your store or skip it.
Most stores are doing some of the work already. The problem is not knowing which missing signals matter most across the whole storefront.
One great product page cannot make up for weak policy pages, missing structured data, or thin comparison content across the rest of the site.
Teams often work on copy, schema, and SEO in parallel without a clear view of which changes will actually improve AI recommendations first.
Without a broad audit, it is hard to separate small polish tasks from the bigger storefront gaps limiting AI visibility and trust.
Start with a homepage, collection page, or product page. The scan reads the public signals AI agents use across the shopping journey.
The audit checks schema, answer coverage, policy clarity, product data, and comparison readiness in one pass.
Results group the gaps into a practical order so you know what to fix first and what can wait.
Run the free audit to see where your product, policy, trust, and comparison signals are strong, thin, or missing entirely.
