
Ask Google AI Mode for running shoes with arch support, and the answer can come with product listings: prices, images, stores. Those listings are built from product data that merchants send through Google Merchant Center. For ecommerce brands, the feed is the most direct lever they have over how Google’s AI features present their products.
Merchant Center is where retailers upload product data. That covers titles, descriptions, prices, availability, images, identifiers, shipping and attributes such as size or material. Google uses it for free product listings and Shopping ads.
Free listings can appear on Google Search, the Shopping tab, Images, Lens, YouTube, Maps and Gemini. They’re usually on by default. Google states that eligibility doesn’t guarantee a product will be shown, since matching depends on the data you supply.
Data can come from a file, a Google Sheet, a platform connection such as Shopify or the Merchant API for large catalogs.
Getting from feed to sale takes several steps, and Merchant Center controls only the first two:
Clean data gets you into the pool. Being retrieved and chosen for an AI answer depends on how well your product data matches the question, plus factors Google doesn’t publish.
AI shopping questions are long and specific. "Waterproof hiking boots with wide sizes for winter" needs category, size and material data to match. A product without those attributes can’t be matched, however good it is.
Merchant Center is the authoritative source for those facts on Google. Product structured data on your pages helps Google read the same facts on the web side. Keep the two consistent, so the feed and the page never disagree on price or stock.
Titles or descriptions written with generative AI go in the structured title and structured description attributes. Those flag the text as AI-generated.
AI performance insights is a Merchant Center report on your brand’s presence in conversational shopping queries on AI Mode and AI Overviews. It covers English-language queries in Australia, Canada, India, New Zealand and the U.S.
Google made it available to businesses in those five markets in September 2026. Find it under Analytics, then Products, then the AI performance tab. It counts organic AI traffic only, and paid ads aren’t included.
| Metric | What it means |
|---|---|
| Your share of voice | Your AI impressions divided by total impressions for you and your defined competitors |
| Competitors’ average share | The average share of your Merchant Center competitor set |
| Frequency | How popular a search type, term, intent or attribute is |
| Products showing | How many of your products appear for top terms, attributes and intents |
Queries are grouped into three shopping phases: Discovery, Evaluation and Ready to buy. Each has its own share of voice, so you can see where you drop out.
Top terms list what shoppers ask for within a category, such as "arch support." Top search intents show the need behind the query. Popular attributes list specs like size, color or material that may be missing from your data.
Conversational attributes are optional product fields that help AI systems understand nuance. Google lists six: question_and_answer, document_link, related_product, item_group_title, variant_option and popularity_rank.
Add them in a supplemental data source or through the Merchant API. They don’t affect the approval status of existing products. Don’t repeat what’s already in your description or product highlights. In a test with lululemon, Google says these attributes appeared in relevant AI Mode recommendations 50% of the time.
The Universal Commerce Protocol (UCP) is an open standard for AI-driven commerce. On Google, it supports agentic actions in AI Mode and Gemini, starting with direct purchases. The merchant stays the merchant of record and keeps the customer relationship.
Google says UCP already powers direct checkout for hundreds of thousands of brands and retailers. Newer options, such as transferring the cart to your own site, are rolling out gradually in the U.S., with Australia and Canada to follow. Merchants can reach these surfaces with their existing Merchant Center feeds.
question_and_answer content for the questions shoppers ask about your products.Category matters too. Our look at AI search strategies by industry covers how retail differs from other sectors.
Each Google tool covers one part of AI shopping, and none covers it all.
| Tool | What it shows for AI shopping |
|---|---|
| Merchant Center | Product share of voice, shopping phases, terms and missing attributes on AI Mode and AI Overviews |
| Search Console | Impressions of your web pages in AI Overviews and AI Mode |
| Google Analytics 4 | What shoppers do after they click, including purchases and revenue |
Google’s organic side sits in Google Search Console, which reports AI Overview and AI Mode impressions for your pages.
Merchant Center shows your share of AI shopping impressions on Google. Ansvisor’s AI Shopping Analytics tracks product cards across ChatGPT, Copilot, Perplexity and Google, along with the prompts that trigger them.
It reports shopping card rate, your products surfaced, shopping share of voice and the merchants AI sends shoppers to. Citations Monitoring adds the review sites and publishers behind product recommendations. Start a 14-day free trial.
Google Merchant Center is Google’s tool for uploading and managing product data such as titles, prices, availability and attributes. Google uses that data for free product listings and Shopping ads across Search, Shopping, Images, Lens, YouTube, Maps and Gemini.
Yes. AI performance insights shows your share of voice in conversational shopping queries on AI Mode and AI Overviews, compared with your competitor set. It covers English queries in Australia, Canada, India, New Zealand and the U.S.
It is your AI impressions divided by total impressions for you and your defined competitors on related queries. The report also shows competitors’ average share. Without defined competitors, the metric shows 100%.
They are optional product fields that help AI systems understand product details. Google lists six, including question_and_answer, document_link and related_product. You can add them through a supplemental data source or the Merchant API.
Open the AI performance tab and see where your share drops. Fill the popular attributes it flags, add conversational attributes and keep prices and stock current. Then recheck share of voice once the reporting lag has passed.
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Co-founder at Ansvisor
Cihan Geyik is the co-founder of Ansvisor, an open-source AI Visibility platform for AI Search. With more than 15 years of experience in digital marketing and growth, he writes about AI visibility, AI search, AEO, GEO, citations, and answer engines. He focuses on helping brands understand and improve their presence across ChatGPT, Gemini, Perplexity, Google AI Overviews, and other AI-powered discovery platforms.
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