StoreSteady audits the public signals AI shopping agents need before they recommend or transact: schema, product content, policies, trust proof, competitive positioning, and catalog-to-storefront conflicts.
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.
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 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.
Use these help articles when you want the step-by-step fix path behind the scan.
Paste your storefront URL, get a public scan in under 60 seconds. No install, no connection required.
StoreSteady compares Shopify, Merchant Center, and storefront signals to find the exact system you need to edit.
AI often compresses or misreads return terms when your public policy language is split across pages, hidden in edge cases, or inconsistent with the storefront.
Run the free audit to see where your product, policy, trust, and comparison signals are strong, thin, or missing entirely.
