Where the buying flow shifted
Google Product structured data highlights price, availability, reviews, shipping, and return facts, the same layer an AI shopping assistant needs before recommending an item.
Product pages should align visible copy and structured data around name, use case, price, availability, variants, reviews, shipping, returns, and constraints.
Do not trust one metric
The signal matters when it clarifies the buying path, not when it adds another isolated commerce feature.
Check the transaction boundary
- Update the AI ecommerce page with a five-column fact layer: price, availability, shipping, returns, and use case
- Keep the test narrow: one priority product or checkout flow before expanding recommendation, authorization, payment, and support work
What still needs proof
When structured data and page copy disagree, search presentation, AI recommendations, and buyer trust all weaken. Keep the original source open so the announcement, the evidence, and this site's interpretation stay separate.