Google’s AI Search Data Is Growing, but the Gaps Remain

Google's Merchant Center opened a pilot last week that shows retailers what shopping related questions people ask AI Mode and AI Overviews about. Brodie Clark, an independent SEO consultant who got access on a client sub account, published screenshots and called it the first Google product to give query data for these surfaces The query data is new, and it's useful if you run a product feed. A useful companion note is Personalization Can Help Small Publishers, because it looks at a nearby part of the same system.

But it's important to know Google groups the questions rather than listing them individually. So what you get in the report are the vocabulary of a category instead of the queries themselves.

What Shipped

The report is called AI performance insights, and Google's help documentation describes it as showing how a brand is discovered across AI Mode and AI Overviews. If you have access, you'll find it in Merchant Center under Analytics, then. The practical read is that brand signals need to be consistent enough for both people and AI systems to form a stable view of the company, its expertise, and its trust signals.

The reporting question is whether this signal changes a decision. If it only creates another number in a dashboard, it adds noise. If it helps separate profile activity, website visits, calls, bookings, and direction requests, it can make local performance easier to understand.

What It Tells You

The report sorts shopping questions by query type, using Google's examplesof searching by category, researching product specs, or looking for reviews. Query frequency shows how popular a given type has been. Phase of shopping journey. The measurement question is whether this signal changes a decision, not whether it adds another number to a dashboard. Useful reporting connects visibility, engagement, and business outcomes without pretending every AI influenced journey will produce a clean click path.

What The Metrics Actually Are

None of the metrics in Merchant Center's AI Performance insights show you a real question anyone typed. You understand the shape of the demand, rather than the demand itself. That's why the product terms serve well as input feeds but. The practical read is that brand signals need to be consistent enough for both people and AI systems to form a stable view of the company, its expertise, and its trust signals.

How We Got Here

Last month, Google began testing dedicated generative AI performance reports in Search Console, starting with a subset of UK sites. Those reports show impressions broken out by page, country, device and date. They don't include click. The measurement question is whether this signal changes a decision, not whether it adds another number to a dashboard. Useful reporting connects visibility, engagement, and business outcomes without pretending every AI influenced journey will produce a clean click path.

Where Google Filed It

In June, SEJ contributor Slobodan Manic argued that Google put AI visibility inside Search Console on purpose, and that the filing decision was itself an argument. AI visibility is search visibility, so it belongs in the search tool, and. The measurement question is whether this signal changes a decision, not whether it adds another number to a dashboard. Useful reporting connects visibility, engagement, and business outcomes without pretending every AI influenced journey will produce a clean click path.

Why This Matters For Search Professionals

With access to the Merchant Center pilot, you get two things that change a workflow. You get a demand signal to prioritize against, which is a different input from anything in Search Console, and share of voice becomes a number that will. The practical read is that brand signals need to be consistent enough for both people and AI systems to form a stable view of the company, its expertise, and its trust signals.

What Still Can't Be Measured

Clicks remain the most significant data point we're missing. After a year of covering this topic, we're still facing the same question, and this report doesn't provide an answer either. Impressions show how often a link to your product. The measurement question is whether this signal changes a decision, not whether it adds another number to a dashboard. Useful reporting connects visibility, engagement, and business outcomes without pretending every AI influenced journey will produce a clean click path. The same pattern also shows up in 4 Layer AI Ops Playbook, where the practical question is how the signal becomes visible.

Looking Ahead

Google says the pilot will expand to Australia, Canada, India and New Zealand in the coming months, which will tell you whether the metrics hold up under more accounts and categories. The open question is whether any of this crosses over. The measurement question is whether this signal changes a decision, not whether it adds another number to a dashboard. Useful reporting connects visibility, engagement, and business outcomes without pretending every AI influenced journey will produce a clean click path.

More Resources

Google's Product Feed Strategy Points To The Future Of Retail Discovery Agentic Commerce Optimization: A Technical Guide To Prepare For Google's UCP Surviving The Impression Squeeze: How Agentic Commerce Is Changing Google Ads In 2026. The strategic issue is whether automated visitors can understand, trust, and complete the same journey a human visitor can. Agent readiness is partly technical, but it is also about clear tasks, accessible flows, and reliable evidence.

The risk is usually hidden in the execution layer. A page can look fine to a human and still fail for an automated visitor if the form, call to action, rendering path, or confirmation step is not accessible enough for the agent to complete the task.

What Shipped in practice

Introduction Google's Merchant Center opened a pilot last week that shows retailers what shopping related questions people ask AI Mode and AI Overviews about. Brodie Clark, an independent SEO consultant who got access on a client. The practical read is that brand signals need to be consistent enough for both people and AI systems to form a stable view of the company, its expertise, and its trust signals.

What the visibility signal actually changes

What the visibility signal actually changes: google’s AI Search Data Is Growing, but the Gaps Remain: the Strategic Visibility Angle should be treated as a visibility signal, not a standalone headline. Introduction Google's Merchant Center opened a pilot last week that shows retailers what shopping related questions people ask AI Mode and AI Overviews about. Brodie Clark, an independent SEO consultant who got access on a client sub account, published. This connects with Google Must Share Anonymized Search Data when the same signal needs a clearer operating decision.

What the visibility signal actually changes: the practical question is whether the page, brand evidence, and surrounding content make the answer easier to trust. If that support is weak, search systems can still understand the topic but fail to connect it confidently to the brand.

What the visibility signal actually changes: that is why the response should begin with an audit of the evidence already on the site before creating a new asset. The fastest improvement is often a clearer page, a better internal link, or a stronger explanation of why the brand belongs in the answer.

Where the evidence needs to be tested

Where the evidence needs to be tested: a single study or ranking observation should not become a strategy by itself. It should become a diagnostic prompt: which source is being trusted, which query pattern is affected, and which part of the site would make that trust easier to earn?

Where the evidence needs to be tested: that keeps the response grounded. The goal is to improve the evidence chain around the topic rather than publish another summary that repeats what every other page already says.

Where the evidence needs to be tested: the important distinction is between a useful signal and a fashionable talking point. A useful signal changes the brief, the page structure, the linking plan, or the measurement view.