On November 3, the official Grok Bot account @bot posted a video promoting a new shopping experience: have the Bot find the best deal, compare items, and track all your orders. The features come from the official changelog for version 0.78.1 (which includes 0.78.0), dated October 27: products appear as cards with photo, rating, price and store plus up to two badges, and three or four results scroll in a carousel. Product pages list in-stock options first, and Buy now starts an order you approve. After purchase the Bot tracks shipping and delivery, with shipment cards showing carrier and stage. Shop Pay can be connected in the Vault Payments tab and set as the preferred method.
Key Takeaways
- ✓The official post went out at 21:50 UTC on November 3 with a 17-second demo video; about 1,687 likes, 122 reposts, 292 replies and 112K views at fetch time
- ✓Source of the features: the official 0.78.1 changelog entry (October 27, includes 0.78.0), titled Shopping cards and subscription templates
- ✓Product cards: photo, rating, price and store, up to 2 badges such as Top rated, 3 or 4 results in a carousel; product pages list in-stock options first and disable options no store has
- ✓Ordering and tracking: orders started with Buy now need your approval; afterward the Bot reports shipping and arrival, and shipment cards show carrier and stage
- ✓Payments: the Vault has had a Payments tab since 0.77.0 (October 26); 0.78.1 lets you connect Shop Pay and make it the method Bots use first

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Background and industry pain points
Personal agents are moving from helping you search to helping you buy. Until now, AI shopping usually meant the model returned a list of links, and the user still had to open each one, compare prices, pick a size, check out and chase tracking, so the agent only handled the first step. Since October, Shopify has opened Shop Pay to personal agents and Walmart has launched an Agent Gateway for shopping agents, making agentic commerce a competitive front. On November 3 the official Grok Bot account posted a video promoting a new shopping experience built on three things: finding the best deal, comparing items, and tracking all your orders.
Architecture highlights and mechanisms
According to the official 0.78.1 changelog (October 27, including 0.78.0), shopping results now come as product cards instead of plain text: photo, rating, price and store, with up to two badges such as Top rated. Three or four results scroll in a carousel, and you can swipe through each product's photos. Product pages list in-stock options first and disable options that no store has; Buy now starts an order you must approve. After purchase the Bot keeps tracking it and tells you when it ships or arrives, and shipment cards show the carrier and stage. On payments, the Vault gained a Payments tab in 0.77.0, and 0.78.1 lets you connect Shop Pay and make it the preferred method. The same release adds Order Concierge and Deal Watcher templates plus subscription cancellation, all of which confirm with you before changing anything. The official demo video asks the Bot for the best deals on the new Nike Air Max and walks from the product carousel to a product page with sizes to the receipt.
Benchmarks and measured comparisons
No data has been published on purchase success rate, price-comparison accuracy or money saved. The only figures so far are the post's reach: about 1,687 likes, 122 reposts, 68 quotes, 292 replies and 112K views at fetch time. Whether the Bot really finds the lowest price and how it retries failed orders will need hands-on testing.
Developer adoption and getting started
Update Grok Bot to 0.78.1 or later and ask the Bot to find the best price on a product or compare a few items to see the cards. To let it pay, add a credit card, Link or Shop Pay in the Vault Payments tab and choose a preferred method; every order still needs your approval. After ordering, ask the Bot to track shipping, or turn on the Order Concierge or Deal Watcher templates to watch refunds, returns and price drops. For e-commerce developers, this means more agent traffic will land directly on product and checkout pages, and how well product data and inventory are structured will affect whether agents recommend them correctly.
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