Category guide
Agent-commerce QA tests whether AI shoppers can complete real buying tasks, not just whether a store has schema, feeds, or a protocol file.
Scenario report
72
AI shopper completed the buying task with enough evidence.
9
Missing or unclear facts found across product, policy, and schema.
3
Prompts where the agent found clearer proof elsewhere.
+18
Measured after applying fixes to product and policy evidence.
The winning competitor stated fragrance-free, puppy-safe, and two-day shipping in citeable language. Your product page implied gentle care but did not prove those buyer constraints.
AI shoppers do not experience your store as a list of SEO checks. They reason through a buyer task, gather evidence, compare alternatives, and decide whether a handoff is safe.
A readiness score can be useful, but it is only an input. ShopperProof turns technical signals into scenario evidence and rerun proof.
FAQ
These answers are structured for both readers and answer engines.
Agent-commerce QA is the practice of testing whether AI shopping agents can discover, understand, recommend, and hand off a store for realistic buying scenarios.
No. AI visibility usually measures mentions. Agent-commerce QA measures task success, competitor outcomes, evidence gaps, and rerun improvement.
