When your return, shipping, and warranty details are buried in prose or missing structured markup, AI shopping engines default to the competitor with clearer signals.
AI agents do not take risks with unclear policies. If proof is weak, they recommend the safer-looking store.
If returns, shipping, or warranty terms are buried in text blocks, AI agents struggle to verify them and stop using them in answers.
Sparse review context, missing ratings, and vague claims make it harder for AI agents to trust the page as a recommendation source.
When contact, fulfillment, and credibility signals are thin, a competing store with cleaner proof often wins the recommendation.
Paste a product page or homepage. We read the same public trust signals AI agents look for when summarizing a store.
The scanner checks policy clarity, visible reviews, shipping context, and other signals that make a store feel trustworthy.
Results show where AI agents lack enough proof to recommend you and which gaps are easiest to fix first.
Run the free scan to find the missing policy and proof signals AI agents need before they tell a shopper to buy from you.
