Google just built AI share-of-voice tracking into Merchant Center, for retailers. Its new AI Performance Insights, announced at Google Marketing Live on May 20, 2026, shows merchants how their products are discovered across AI Mode, AI Overviews, and the Gemini app, including a brand share-of-voice comparison against competitors. Reporting via Search Engine Land and Google.
- The validation: Google productizing share of voice across AI surfaces means the metric is now mainstream, not an experiment
- The catch: it is a Merchant Center feature for retailers with a product feed, coming soon in five countries
- For B2B: SaaS and services run no product feed, so the tool does not apply; the metric still does
- What to do: measure your AI share of voice organically, across the AI engines your buyers actually use
What Google launched
At Google Marketing Live on May 20, 2026, Google introduced AI Performance Insights, a set of reports inside Google Merchant Center. They show retailers how their products surface on AI-powered discovery: AI Mode and AI Overviews in Search, and the Gemini app. Four things ship in the report: a brand share-of-voice comparison against similar competitors, shopping-funnel performance across discovery, evaluation, and purchase, the product terms shoppers search, and a product-attribute completeness score. Google says it will roll out in the United States, Canada, Australia, India, and New Zealand in the coming months.
The headline, for anyone who has been paying attention to AI search, is the first item on that list: Google is now reporting a brand's share of voice inside AI-generated answers. A trillion-dollar platform built a dashboard for the exact thing answer-engine marketers have been measuring by hand. That is the part worth sitting with, even if you will never open Merchant Center.
Why this matters even if you are not a retailer
For two years, measuring your presence inside AI answers was a fringe practice with a homemade toolset. Marketers ran prompts by hand, logged which brands got named, and argued about whether any of it mattered. Google shipping AI Performance Insights settles that argument. When the largest search company builds competitive share of AI voice reporting into its core ad product, the metric has crossed from experiment to standard practice.
That reframes the work for every brand, not just retailers. If Google thinks retailers need to know their share of voice across AI surfaces, your B2B buyers are forming shortlists from those same surfaces, and your competitors are either tracking their position or about to. The question stops being “is this real?” and becomes “what is our number, and is it going up or down?”
Google built a dashboard for the metric answer-engine marketers have measured by hand. The argument about whether AI share of voice matters is over.
The catch: it is built for retailers, not B2B
Here is where most B2B marketers will hit a wall. AI Performance Insights lives in Google Merchant Center, and Merchant Center is built around a product feed. It measures how individual products are discovered, scores your product attributes, and tracks a shopping funnel. All of that assumes you sell catalog products through a feed.
B2B SaaS and services companies do not have a product feed. There is no SKU for “mid-market CRM” or “fractional CFO services” to push into Merchant Center, so AI Performance Insights has nothing to report on. The tool that finally productized AI share of voice is, for most B2B brands, a tool they cannot use. The metric applies to them completely; Google's implementation of it does not.
This is the same split that runs through Google's broader AI-ads push. The retail-shaped features arrive first and most complete, because that is where the feed-and-catalog machinery already exists. B2B gets the concept without the native tooling, and has to assemble the equivalent from organic measurement.
How B2B brands measure AI share of voice instead
The good news: the metric is not hard to measure organically, and you do not need a product feed to do it. Share of AI voice is the percentage of AI answers in your category that name your brand versus all the brands named. The glossary entry covers the formula and the full method; the B2B-specific part is in how you build the inputs.
The single biggest lever is the query set. Retailers get theirs from product terms. B2B brands have to build one from buyer behavior: the questions a real buyer asks an AI assistant on the way to a shortlist, mapped to where they sit in the journey rather than to keywords.
Run that set across the engines your buyers use (ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews), count how often your brand is named against competitors, and track the trend. Weekly beats monthly, because the engines change their answers continuously. For the full step-by-step, see how to build an AI visibility report, and for the strategic case on where this sits next to paid, paid versus organic AI visibility.
Merchant Center won't show it to a B2B brand. Run a free scan to see how often the AI engines name you versus your competitors, then track it over time.
Run a free AI visibility scan →AI share of voice vs the metrics you already track
Share of voice is one of three signals, not a replacement for the others, and the distinction matters when you report it. Brand mentions tell you whether you get named at all. Citation share, covered in what is AI citation share, tells you what proportion of the cited sources are yours. Share of AI voice tells you your competitive position: of all the brands the answer names, how many of those mentions are you.
A complete picture tracks all three. Google's AI Performance Insights leads with share of voice because, for a competitive retailer, position against rivals is the number that drives action. The same logic holds in B2B: knowing you are named is table stakes, knowing you are gaining or losing ground against a specific competitor is what informs the next move.
What to do now
If you sell through a product feed, the move is to get your product data and conversational attributes in order in Merchant Center before AI Performance Insights reaches your market. If you are a B2B brand, the move is to stop waiting for a Google dashboard that is not coming for you and measure the metric yourself.
- Baseline now. Get a current read on how often the AI engines name you versus competitors, so you have a starting number to move.
- Build a buyer query set. Map 20 to 50 category queries to buying stage, sourced from how your buyers actually ask, not from a keyword tool.
- Track weekly. Watch the trend by engine and competitor, not a single point-in-time score.
- Pair it with AEO. Share of voice is the outcome metric; answer engine optimization is the work that moves it.
Google just told the market that AI share of voice is a number worth reporting. Retailers get the built-in dashboard. Everyone else gets a head start, because the brands that measure it now are the ones that will be named when their buyers ask.
Frequently Asked Questions
#Can B2B companies use Google's AI Performance Insights?
Mostly no. AI Performance Insights lives in Google Merchant Center and reports how a retailer's products are discovered across AI shopping surfaces, so it requires a product feed. B2B SaaS and services companies do not run Merchant Center product feeds, so the tool does not apply to them. The underlying idea, measuring your brand's share of voice in AI answers, absolutely applies to B2B. The Merchant Center implementation of it does not. B2B brands get the same measurement through organic AI visibility tracking instead.
#What is Google AI Performance Insights?
AI Performance Insights is a set of reports in Google Merchant Center, announced at Google Marketing Live on May 20, 2026, that show retailers how their products are discovered on AI Mode, AI Overviews in Search, and the Gemini app. It includes a brand share-of-voice comparison against competitors, shopping-funnel performance across discovery, evaluation, and purchase, popular product-term insights, and a product-attribute completeness score. Google has said it will roll out in the United States, Canada, Australia, India, and New Zealand in the coming months.
#Is AI Performance Insights the same as AI share of voice?
No. AI share of voice is the general metric: the percentage of AI answers in your category that mention your brand versus competitors. AI Performance Insights is Google's specific, retailer-only tool that reports a version of that metric for products inside Merchant Center. Think of AI Performance Insights as one vendor's dashboard for one audience, retailers, and AI share of voice as the underlying metric any brand can measure across any set of AI engines. For the full definition and formula, see the Share of AI Voice glossary entry.
#How do B2B brands measure AI share of voice without Merchant Center?
By tracking it organically. Define a set of category queries your buyers would ask, run them across the major AI engines (ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews), and count how often your brand is named versus competitors. Aggregate into a percentage and track the trend over time. This is the same competitive measurement AI Performance Insights gives retailers, applied to the organic AI answers that shape B2B buying. The AI Visibility Checker produces a basic snapshot, and the Answer Engine Insights module tracks it across a configured query set with weekly deltas.
#When does AI Performance Insights launch?
Google announced it at Google Marketing Live on May 20, 2026, and said the insights will roll out in the United States, Canada, Australia, India, and New Zealand in the coming months. As of early June 2026 it is coming soon rather than fully live, so the practical move for retailers is to get product data and conversational attributes in order in Merchant Center ahead of the rollout.
#Does AI share of voice matter for B2B?
Yes. B2B buyers increasingly start vendor research inside AI assistants, and the brands an AI names in its answer are the ones that make the shortlist. AI share of voice measures whether you are one of those named brands and how your position moves versus competitors over time. Google building the metric into Merchant Center for retailers is a signal that measuring presence inside AI answers is becoming a standard marketing discipline, not an AEO experiment. For B2B, the measurement surface is the organic AI answer rather than a shopping feed.
