Google built a useful tool that proves a bigger point
Google added a report to Merchant Center this month called AI Performance Insights. For the first time, retailers can see how their products show up across Google's AI surfaces — AI Mode, AI Overviews, and the Gemini app — with native data instead of guesswork.
It is a genuinely useful tool. It is also, for anyone serious about AI visibility, a reminder of exactly how much it does not show you.
What Google actually shipped
There are four data views. Share of voice — how often your brand surfaces in AI shopping results versus brands like yours. Shopping funnel performance — where you appear across discovery, evaluation, and purchase. Product term insights — the actual language buyers use in AI conversations. And product attributes — which structured specs you are missing, with a completeness score.
It is rolling out in the US, Canada, Australia, India, and New Zealand over the coming months. If you run an ecommerce brand, you should open it the day it lands. The early numbers will not be flattering, but it is the first honest baseline most brands have ever had on Google's AI surfaces.
Why share of voice is the part worth noticing
The interesting move here is not the report. It is the metric Google chose to lead with.
Share of voice is not a ranking and it is not traffic. It is relative presence — how often you show up compared to your competitive set. That is the language of media planning, not SEO. For twenty years, ecommerce visibility has been measured in positions and clicks, both absolute. A relative visibility metric reframes the whole question from where do we rank to what is our share of the conversation.
That reframe matters because it changes the strategy that answers it. And it signals that Google now sees AI visibility as its own measurement category — sitting alongside organic and paid, not tucked underneath them. When Bing shipped comparable reporting earlier this year, it looked like an experiment. Two major platforms landing on the same layer within months of each other is a category forming.
The boundary nobody selling this is mentioning
Here is the part that matters most, and it is the part the announcement coverage glides past: this report measures Google's surfaces only.
AI Mode. AI Overviews. Gemini. That is the whole map. It tells you nothing about how your brand shows up on ChatGPT, Perplexity, Claude, or any of the other AI tools your buyers are increasingly using to research before they ever touch a search engine.
This is not a flaw. It is the natural limit of a first-party tool — Google can only report on Google. But it creates a trap worth naming clearly: a brand can open AI Performance Insights, see decent numbers, and conclude its AI visibility is handled. It has not measured AI visibility. It has measured Google AI visibility, which is a fraction of where AI-driven discovery actually happens.
The distinction is the entire reason generative engine optimization exists as a separate discipline. Google AI Overviews run on Google's ranking systems — strong SEO largely covers them. The non-Google platforms do not. ChatGPT, Perplexity, and Claude pull from entirely different signals: entity clarity, third-party citations, structured data, recency. Recent analysis of hundreds of millions of AI citations found only around 11% of domains were cited by both ChatGPT and Perplexity, and the overlap with Google's top results sat near 12%. The graphs are almost completely separate. A tool that measures one of them is measuring one of them.
What this means for how you measure AI visibility
The practical takeaway is not ignore Merchant Center. It is the opposite — use it, it is free and it is real. But treat it as one instrument on a wider dashboard, not the dashboard.
If AI visibility matters to your brand — and for most B2B and considered-purchase categories it now does — the measurement question has two halves. How do you show up on Google's AI surfaces, which Merchant Center and strong SEO address. And how do you show up everywhere else AI-driven discovery happens, which requires GEO work and cross-platform tracking that Google will never provide, because it has no commercial reason to measure its competitors' surfaces for you.
The brands that understand this split early will build visibility across the full landscape while everyone else optimizes for the third of it Google hands them a free report on.
The bigger signal
Step back from the feature and the trend is the real story. Measuring AI visibility used to require a specialist tool, an in-house build, or an agency running manual prompt audits. Google just made the Google-AI half of that free and built-in.
That does not shrink the opportunity. It relocates it. The defensible, valuable work moves to exactly the place Google's free tool cannot reach — the cross-platform visibility that determines whether you are cited when a buyer asks ChatGPT or Perplexity about your category. Free measurement of one platform makes measurement of all the others more valuable, not less.
When the report reaches your market, open it. Just do not mistake it for the whole picture.
The free GEO Audit at getaicited.co runs a citation baseline across ChatGPT, Perplexity, Google AI Overviews, and Claude — the full landscape, not one surface. If you want to know where your brand actually stands across AI, that is the place to start.
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