Google AI Mode Checkout: Your Product Data Now Sells for You

Since November 4, 2026, shoppers in Canada can buy products directly inside Google AI Mode and the Gemini app. The US and Australia got it earlier. When a shopper compares and decides inside an AI chat, the AI does the comparing with your product data. If that data is thin, your products lose before anyone visits your store.

Where can shoppers buy inside Google AI Mode and Gemini?

As of November 2026, direct checkout in Google AI Mode and the Gemini app is available to shoppers in three countries: the US, Australia and Canada. It runs on the Universal Commerce Protocol (UCP), an open standard for agent checkout. Shoppers pay with Google Pay, and the retailer stays the seller of record.

Swipe to see the full table.

Google said in May 2026 that the UK will follow later, without a date (Google). Shopify describes direct checkout as rolling out gradually in all three countries, so not every eligible store has it yet (Shopify Help Center).

Why does the decision now happen inside the AI chat?

Because the shopper can do every step there. They ask, get options, compare them and pay, all in one conversation. Your product page may never load.

Shoppers are ready for it. In a Google and Angus Reid survey of 1,057 Canadians in October 2026, 59% of holiday shoppers said they plan to use an AI tool to help them shop this season. Narrowing choices and comparing features and prices are among the uses they named (Retail Insider).

For a store owner, this moves the important moment. You used to win the shopper on your product page, with photos, copy and reviews. Now the AI often makes the shortlist first, based on what it can read about your products. (We looked at what this means for product pages in Your product page is the new homepage.)

What do AI shopping agents read from your catalog?

AI shopping agents work mostly from structured product data, not from how your page looks. Shopify says AI surfaces favor structured data with clean attributes and accurate, up-to-date information (Shopify). On its Q3 2026 earnings call, Shopify said searches powered by Shopify Catalog, its structured product dataset, convert at 2x the rate of general AI search (transcript).

In my 11 years in enterprise site search, I rarely saw a catalog ready for this. The same gaps show up again and again:

Swipe to see the full table.

The rule of thumb: if a fact only exists in an image, a PDF or someone’s head, assume the AI can’t use it.

How can I check if my product data is ready for AI agents?

Run the 10 best sellers test. It takes about an hour and needs no tools.

1. List your 10 best-selling products.
2. For each one, copy only the text: title, description, variant names and any specs. Leave out the images.
3. Pick one competitor product for each.
4. Ask yourself: could a stranger compare the two using only that text? Size, material, what it works with, who it is for.
5. Write down every fact a shopper would need that is missing or only in an image.
6. Add those facts as plain text or as product attributes (in Shopify, metafields and category attributes).
7. Ask ChatGPT, Gemini or Google AI Mode the questions your shoppers ask, and see if your products come up and are described correctly.

Start with the best sellers because they usually bring a big share of your revenue. Fix the pattern there, then roll it out to the rest of the catalog.

Does this matter for European Shopify stores?

Yes, if you sell to the US, Canada or Australia. Shopify’s requirement is about where your customers are, not where your store is: “You must sell to customers in the United States, Canada, or Australia. Your store can be based in any country” (Shopify Help Center).

If you only sell inside Europe, direct checkout in AI Mode isn’t available to your shoppers yet. Your product data still matters today. Shoppers already use ChatGPT, Gemini and AI search to research products, and the same data decides whether you show up there. Shopify says products from Shopify stores are discoverable in ChatGPT by default through its agentic storefronts (Shopify).

Where does Talkom AI fit?

Talkom AI is an AI shopping assistant for Shopify stores and custom webshops. Some merchants call it an AI chatbot, an AI chat or an AI agent for their webshop. It lets shoppers find products by asking questions on your own store, the same way they now ask ChatGPT or Gemini. It is available on the Shopify App Store and at talkom.ai.

The link to this article is simple. External AI agents and an on-site assistant both answer shopper questions from your product data. Work you put into your catalog for Google AI Mode and ChatGPT also improves the answers shoppers get on your store.

What Talkom does on the store:

• AI Search Mode: a full-page conversational product discovery experience on your store. It is Talkom’s own feature and is not related to Google AI Mode. More about AI Search Mode.
• Ask About Products: shoppers ask questions directly on a product page and get answers from that product’s data. More about Ask About Products.
• Collections as conversation starters: your collections become starting points for guided product discovery.
• AI Assistant on every page: a chat that helps shoppers find products, compare them and add them to the cart, and also handles order questions. More about the AI Assistant.
• Shopify-native build: built by Shopify guidelines with Polaris, the Shopify design system.

What we see in Talkom conversations: about 70% are about products, not orders or support. 36% of conversations lead to an add-to-cart and 15% lead to an order. Shoppers come with questions before they buy, and a store that answers them keeps the decision on its own site.

If you’re comparing AI assistants and chatbots for your store, our guide on how to choose an AI shopping assistant lists the questions to test, and Talkom pricing starts with a free plan.

FAQ

About the author

David Kis is the founder and CEO of Talkom, an AI shopping assistant built natively for Shopify. He spent 11 years in enterprise site search before founding the company. Follow David on LinkedIn.