AI shopping agents are not one technology but three, and the type you encounter determines who controls it, what it can do, and how much of your data it touches. There are general discovery agents such as Google's AI Mode that research and compare products across many retailers; on-site assistants that retailers like Best Buy and Home Depot build into their own stores; and largely invisible business-to-business platforms that wire the whole system together. Consumer trust, meanwhile, is sharply uneven: a Deloitte survey cited by commercetools found only 8% of European shoppers are willing to let AI complete a checkout on their behalf.
Understanding AI Shopping Agents: A Three-Part Framework
The clearest way to make sense of the "AI shopping" landscape is to sort agents by their relationship to you and the retailer. Is this a tool you chose, a feature on a store's own website, or a backend service you never see? A price-monitoring firm, tgndata, offers a practical framing for retailers: AI shopping agents are "a new comparison layer that sees your prices before your shoppers do." For shoppers, the same layer works in reverse — it sees prices before you do.
This three-part classification is a synthesis of industry descriptions rather than an official standard, and the examples below illustrate the categories rather than exhaust them. But the framework holds up across very different sources, from e-commerce platform blogs to startup funding coverage, which is what makes it useful for recognizing what you are actually interacting with.
AI Shopping Agent Classification Model
Use this model the next time an AI tool helps you shop. Identify who runs it, and its likely capabilities and limits follow.
| Type of agent | Who runs it | What it does | What it means for you |
|---|---|---|---|
| General discovery agents | Big tech companies (e.g., Google AI Mode) | Research, compare, and recommend products across multiple retailers; Google says AI Mode has passed one billion monthly users | A cross-store guide you choose to use; reach is broad but features vary by country |
| Retailer on-site assistants | Individual retailers (e.g., Best Buy, Kohl's, Home Depot assistants; Firmly's Ask Agent) | Shoppers describe what they want, get product recommendations, and can check out without leaving the chat | Convenient within one store, but recommendations serve that retailer's catalog and goals |
| B2B infrastructure platforms | Behind-the-scenes vendors (e.g., Firmly, Algolia, Insider One) | Connect agents to retailer systems, power search, personalization, and predictive segmentation for purchase likelihood and churn | Invisible to you, but shapes the recommendations and search results you see |
The classification logic is straightforward: a tool you deliberately open is a discovery agent; a chat window on a retailer's own site is an on-site assistant; everything powering those experiences behind the curtain is infrastructure. When you know who operates the tool, you can anticipate its scope — a Google agent can compare across stores, while a retailer's assistant is built to keep you in that store.
