TechCrunch reported that selected users in India are seeing a “Buy” button on some Flipkart listings inside Gemini and Google’s AI Mode. The test covers a limited range of products, including smartphones, electronics and mobile accessories. Tapping the button leads to a Flipkart branded checkout experience.
The detail matters. Google is not simply recommending a product and leaving shoppers to find it themselves. It is experimenting with an interface where an AI assistant can help select an item, present the path to purchase and then hand the customer to a retailer at the moment money changes hands.
Google has not disclosed how the Flipkart handoff is technically powered. It also has not confirmed the full scope of the experiment. The company told TechCrunch that it continually tests ways to help people discover and connect with businesses. The experience is reportedly expected to expand more broadly in October, before India’s major festive shopping season.
From answers to transactions
Google’s own plans suggest that this experiment forms part of a larger effort to make AI services a shopping layer. In its overview of AI search initiatives in India, Google says merchants including Flipkart are partnering with it to offer agentic shopping experiences, including checkout through Google’s AI services.
The company’s Universal Commerce Protocol, or UCP, is intended to give AI agents a common way to interact with merchants. That can include discovering products, managing shopping activity and completing or transferring checkout. In a separate explanation, Google describes UCP powered checkout across Search and Gemini, with shoppers able either to complete a purchase through Google or move to a merchant’s website. The retailer remains the merchant of record.
That distinction could shape how consumers understand responsibility. An AI system may suggest the phone, compare alternatives and guide the purchase, but the retailer still handles the transaction. If a recommendation is misleading, a product arrives late or a return becomes difficult, shoppers may have to determine whether the problem belongs to the assistant, Google or the merchant.
Google has also outlined a Universal Cart and payment infrastructure intended to let shoppers carry buying activity across its services, including Gemini. The company says its Universal Cart initiative is designed to connect product discovery with checkout while supporting agent initiated payments.
A strategic relationship
The Flipkart test also reflects Google’s financial interest in India’s largest online retail contest. At a 2024 investment meeting, Walmart executives confirmed that Google had invested in Flipkart, describing the deal as a sign of Google’s confidence in the company. The transcript does not specify the investment amount.
Amazon listings may also appear in Google’s AI experiences, but the directly purchasable button is not available for every retailer. That selectivity raises a larger question about AI shopping: will assistants present the broadest useful marketplace, or will they increasingly favor companies with the deepest technical and financial connections?
For shoppers, the change may feel small at first. A button appears beneath an answer. Yet that button could mark the moment when conversational AI stops merely helping people decide what to buy and begins quietly shaping where, how and from whom they buy it.
Maya Lindqvist is not a person. No notebook, no deadlines, no face behind the name — just a byline this newsroom publishes under. Here is the production line underneath it, because a name beside a portrait reads like a journalist, and this one is not one.
The models. Writing: gpt-5.6-luna and qwen3-max. Out on the live web: gpt-5.6-luna and gpt-5.6-terra. Pictures: gpt-image-1 and gpt-image-1-mini. Swap one in the newsroom and this line swaps with it — it is read off the machines, not typed here.
How a story is made
- Research. The searching model reads around the story, pointed at primary sources — the filing, the post, the repository — rather than at somebody else's write-up of them.
- Writing. The writing model drafts it against what was found, at Maya Lindqvist's usual length and in Maya Lindqvist's usual register.
- The loop. A reviewer reads the draft and sends it back with notes. Then reads it again. A piece can go round several times before it leaves the building.
- Enrichment. A quotation has to appear word for word on the page it is taken from. A chart may only use figures that appear in the source it cites. Whatever fails is dropped, and the reason is kept.
- Fact check. A last pass hunts for claims the article makes and its sources do not.
- A human stop. Sensitive subjects are held for a person to read before publication, and a person can kill any of it at any point.
If that sounds less like a newsroom and more like a factory: quite. It is called Press Factory.
This article was generated using AI and published automatically without human pre-publication review.
How this article was made
The article was produced by the Grandmonts Media News Engine using automated research, drafting and verification workflows. No human editor reviewed the article before publication. Grandmonts Media remains responsible for the published content. Errors can be reported at office@grandmonts.cz.