Check what is actually live
We inspect the pages, catalog records, schema, and policies the store publishes today.
We find what AI shopping tools may misread.
Autonomous Path compares the product facts shoppers see with the information AI search tools and shopping agents can reach. Our rules-based scan shows what conflicts, which pages or records are affected, and what deserves attention first.
Our Approach
A store can look right and still publish the wrong facts.
A product page can say in stock while the feed says sold out. Schema can carry yesterday's price. A return policy can exist but be hard to find. Those are ordinary commerce problems with expensive downstream effects.
Our team brings payments-industry experience and 25+ combined years across payments and ecommerce. We use that experience to trace the mismatch, separate site work from catalog work, and make controlled changes only where the findings support them.
Operating Principles
Specific findings. Controlled changes. Bounded claims.
Name the exact gap
A price mismatch needs a different fix from a blocked page, broken variant, or missing return policy.
Keep risky changes boring
Remediation goes through staging or a branch, validation, review, and approval before production.