AI shopping engines parse structured data before they parse prose. If your schema is incomplete, AI fills in the blanks — or skips your product entirely.
AI agents move fast. When the underlying markup is incomplete or inconsistent, they stop trusting the page.
Missing brand, category, variant, and identifier fields make it harder for AI agents to understand what the product is and when to show it.
When price, availability, or shipping data in structured markup does not match the visible page, AI agents treat the offer as unreliable.
FAQ, return policy, and shipping details often live in copy alone. Without structure, AI agents cannot extract those answers confidently.
Start with a product URL, collection page, or homepage. We inspect the structured data your public storefront serves.
The scanner looks for missing product fields, weak offer details, and policy markup gaps that create trust issues.
You see which schema fields matter most for AI visibility, Merchant Center alignment, and buyer confidence.
Run the free schema audit to surface the missing product, offer, FAQ, and policy signals keeping your markup from doing its job.
