Can Google Show You How AI Shoppers Find Your Products?

What the report is designed to show.

Google describes AI performance insights as a view of brand discovery in shopping-intent queries on AI Mode and AI Overviews. Its documentation lists English-language coverage for accounts in Australia, Canada, India, New Zealand and the US.

This is a specific merchant reporting surface. It should not be treated as a universal report of every AI assistant or as evidence of what a particular person privately asked. Start by understanding the selected category, market and reporting scope.

Find it in your merchant workflow.

Google’s documented route is Merchant Center, Analytics, Products, then the AI performance tab. Availability can depend on the account and supported coverage. If it is absent, check the current documentation rather than assuming your products have no visibility.

Choose a category relevant to the products you maintain. Review available shopping-stage views and terms as clues about the questions shoppers are trying to resolve. Keep the export or observation date with any findings you share internally.

Connect a finding to a product fact.

A visibility report becomes useful when it informs a specific correction. If a relevant shopping term describes an attribute you genuinely offer, inspect whether the product page and submitted data explain it accurately.

Do not add an attribute simply because it appears in a report. The product must support the claim. The fictional example below shows how to investigate a cushioning-related term without inventing a medical benefit or assuming a recommendation factor.

Keep discovery separate from orders.

A brand appearing in an AI shopping experience is one observation. A visit, a checkout action and a completed order are other events, often with different measurement coverage. Avoid converting a visibility share into a revenue claim.

Compare like-for-like categories and periods. Note changes to price, stock and promotions that could affect the same period. Ask the ecommerce owner what the analytics can actually link, and leave unavailable parts of the journey unknown.

Turn the report into a small recurring review.

Take one observation, inspect the corresponding product information and assign the correction to its owner. Save the before-and-after facts, the date and the reason for the edit. This creates a practical review record without pretending to control the AI response.

For the purchase path itself, read our Universal Cart guide. For product information, use our product-page framework. Start with accurate facts that help a customer decide.

Sources and editorial scope

Announcement and documentation facts are attributed to the primary sources linked below. Availability can change. The visual frameworks and trial methods are Arrow AI editorial guidance; examples are illustrative, not measured product tests or customer results.

• Google Merchant Center: About AI performance insights