How a shopper uses an AI agent
From the shopper’s side, buying through an agent is a conversation, not a sequence of pages. A typical purchase moves through three stages.Describe what they want
The shopper states a need in plain language — “a waterproof jacket for autumn hiking under 1,500 kr” — instead of typing keywords into a search box. The agent reads structured product data from connected stores and returns a short, relevant set of options rather than a long results page.
Compare and refine the criteria
The shopper reacts and adjusts: “only breathable ones,” “something in green,” “what can ship to Denmark this week.” The agent re-queries live data — price, variants, availability — and updates its suggestions. This back-and-forth replaces filtering and tab-switching, and it’s where most of the decision happens.
Where checkout happens
The final step — paying — takes one of two forms.Embedded web checkout
The agent opens your store’s real checkout inside an in-app browser. The shopper completes the purchase on your page, using your payment, tax, and shipping setup. This is how ChatGPT handles checkout today.
Native agent checkout
The shopper confirms and pays without leaving the chat. The agent passes the order to your store through a commerce protocol, and your platform handles payment, tax, fraud checks, and fulfilment behind the scenes. Microsoft Copilot and AI Mode in Google Search work this way.
Either way, the order lands in your normal admin and you stay merchant of record — you keep the customer relationship, the payment, and post-purchase control. The only difference is where the shopper taps buy.
What changes for merchants
Discovery moves into the chat
Shoppers increasingly start with an assistant rather than a search engine. Your products are surfaced by an agent reading structured data, not by a page a person scrolls.
Machine-readable beats pretty
An agent does not see your design. It needs complete, consistent, structured product data — attributes, categories, pricing, and availability it can parse.
The customer relationship
Platforms differ on who owns the buyer. Shopify, for example, keeps the merchant as merchant of record, so you retain the customer relationship and post-purchase control.
Attribution and analytics
Orders placed through an agent are attributed to the AI channel, giving you insight into which assistants drive sales and what customers ask for.
The protocols
Several standards are emerging, each connecting AI agents to a store’s live data and checkout. They are young and moving quickly, and in most cases your e-commerce platform builds the integration so you don’t wire it up yourself.| Protocol | Backed by | What it does |
|---|---|---|
| Model Context Protocol (MCP) | Open standard | Bridges an agent to live store data such as inventory, pricing, and availability. |
| Universal Commerce Protocol (UCP) | Shopify and Google | Defines how agents create carts, check out, pay, and handle post-purchase. Powers native checkout in Microsoft Copilot, Gemini, and AI Mode in Search. |
| Agentic Commerce Protocol (ACP) | OpenAI and Stripe | Connects ChatGPT to merchant catalogs for product discovery and purchase inside a chat. |
No single protocol has won. The practical takeaway is to keep your product data clean and let your platform handle the protocol integrations as they ship.
How to prepare
The single most impactful step is to make your product data as clean, complete, and structured as possible. An agent can only sell what it can reliably read.- Complete attributes. Fill in size, color, material, and identifiers like GTIN or barcode for every variant.
- Consistent categories. Group products so an agent can infer what they are and when to suggest them.
- Accurate pricing and availability. Keep stock and prices in sync so an agent never quotes something you can’t fulfill.
- Structured data. Add product schema to your pages so the underlying data is machine-readable.
- HS codes for international sales. Correct customs tariff codes keep cross-border orders shippable. See understanding customs.
On your platform
Both platforms Smart Send supports have published their direction for AI-driven shopping. Apply the data hygiene above, then dig into the store-side setup with our Shopify recommendations and WooCommerce integration guide.Shopify Agentic Storefronts
How Shopify syndicates your catalog across AI agents from a single setup.
WooCommerce AI product discovery
How WooCommerce is building toward MCP, ACP, and UCP to keep stores discoverable.