Amazon has announced a meaningful expansion of Shop Direct, its AI-powered shopping experience that surfaces products from external merchant sites inside Amazon search.
[Amazon Buy for Me Update](https://www.aboutamazon.com/news/retail/amazon-shop-direct-external-stores)
Merchants can now join more easily through third-party feed partners including Feedonomics, Salsify, and CEDCommerce, with catalog, pricing and inventory syncing in real time.
Customers can either click through to buy on the merchant’s own site or in some cases use Amazon’s “Buy for Me” flow, where Amazon completes the purchase on their behalf. Amazon says Shop Direct now includes more than 100 million products from over 400,000 merchants and is available to all U.S. customers across Amazon.com, the shopping app, mobile web, and Rufus.
For brands, this is another sign that the rules of digital commerce are shifting. Amazon is no longer just a closed marketplace where only products listed in Seller Central or Vendor Central can win visibility. It is becoming a discovery layer for the wider web. That matters because customer journeys are changing fast. More product discovery is happening through AI-assisted experiences where the platform decides what gets surfaced, summarised, and recommended. Shop Direct pushes Amazon further into that role.
The practical implication is clear. Product visibility is starting to depend less on traditional category ranking alone and more on whether your product data can be interpreted, matched and trusted by AI-driven systems. Amazon says the same feeds merchants already use elsewhere can now power visibility in both standard search results and Rufus, its AI shopping assistant. That means clean structured data, accurate availability, strong pricing signals, and well-optimised product content are becoming even more important.
There is a second shift here too. Amazon is not only helping customers find products beyond its own catalogue. It is also inserting itself into transactions that happen off-Amazon. In the Shop Direct model, customers can be redirected to the merchant’s store. In the Buy for Me model, Amazon can act on the customer’s behalf using encrypted payment and delivery details, while the merchant still handles fulfilment, returns, exchanges, and customer service. That is a significant step toward agentic commerce becoming operational rather than theoretical.
For challenger brands, this creates both opportunity and pressure. The opportunity is obvious. If Amazon can now refer high-intent shoppers to products not stocked in its own store, brand discovery can expand beyond your existing retail footprint. The pressure is that discoverability will increasingly depend on feed quality, data completeness, and content written for machines as well as humans. If your titles, attributes, taxonomy, and availability data are weak, AI-led surfaces will struggle to represent you properly.
At Lmo7, we see this as part of a much bigger pattern. Commerce is moving from search engine optimisation to answer engine optimisation and now into agentic commerce optimisation. Brands need to think beyond webpages and PDPs as static assets. They need to treat product data as a live signal layer that feeds marketplaces, AI assistants, recommendation engines, and autonomous buying flows.
The takeaway is simple. If Amazon is opening discovery to external merchants through AI-powered experiences, brands should not treat this as just another Amazon feature update. It is a sign of where shopping is going. The brands that win will be the ones that are easiest for AI systems to understand, trust and recommend.