---
title: "What is agentic commerce, and how is it different from ecommerce?"
description: "What is agentic commerce? A plain definition, a comparison with ecommerce, named examples from ChatGPT, Google and Perplexity, and what a shop fixes first."
canonical: https://autobasket.store/learn/what-is-agentic-commerce
---

1.  [Home](https://autobasket.store/)
2.  [Guides](https://autobasket.store/learn)
3.  What is agentic commerce, and how is it different from ecommerce?

# What is agentic commerce, and how is it different from ecommerce?

Agentic commerce is buying done by an AI agent on a person's behalf, from searching and comparing to filling a basket and, where the channel allows it, paying. The shop's visitor becomes software that reads fields. By June 2026, 5% of DACH online shoppers had used an agent to shop, per the University of St.Gallen.

Guide, Foundations, published 12 October 2026, updated 16 October 2026

## What is agentic commerce in simple terms?

Agentic commerce is a purchase in which an AI agent does the legwork for a person: it searches, compares offers and, where the channel allows, builds the basket and pays within limits the person set. The person still decides what they want and how much they will spend.

A shopper types “a gravel bike under CHF 4,000 for long alpine rides, available in Switzerland” into ChatGPT, Perplexity, Claude or Gemini. The assistant runs searches, opens product pages, compares prices, stock and delivery, then names two or three products. The [gravel bike use case](https://autobasket.store/use-cases/gravel-bike-under-chf-4000) traces that mission field by field. What the agent reads is the markup, the Schema.org `Product` and `Offer` fields, the shipping and return policies and the stock status. When those fields are missing it moves on to a shop where they exist.

## How is agentic commerce different from ecommerce?

In ecommerce a person browses the shop and decides on the page. In agentic commerce software reads several shops at once and arrives with a shortlist, so the shop competes on data an agent can compare rather than on layout.

| Question | Ecommerce | Agentic commerce |
| --- | --- | --- |
| Who searches | The person, in Google or on the shop | An agent, running several searches for one request |
| Who compares | The person, across browser tabs | The agent, on price, stock, delivery and returns read as fields |
| What the shop is judged on | Photos, layout, brand, page copy | Structured product data, policies, identifiers such as the GTIN |
| Where the purchase happens | The shop’s own checkout | The shop’s checkout after a recommendation, or a protocol checkout inside the assistant |
| Who confirms payment | The person, in the checkout | The person, or a signed mandate the agent carries |
| What the shop measures | Sessions and conversion rate | How often assistants name it, and orders arriving from agents |

Most purchases still end on the merchant’s own site, so for now the agent changes how the shortlist is made before the person arrives, more than where they pay.

## What are examples of agentic commerce today?

Named examples exist, and almost all of them launched in the United States first:

-   OpenAI launched Instant Checkout in ChatGPT on 29 September 2025 with US Etsy sellers, on the Agentic Commerce Protocol. In March 2026 OpenAI moved Instant Checkout into apps inside ChatGPT, according to an OpenAI spokesperson quoted by [Digital Commerce 360](https://www.digitalcommerce360.com/2026/03/06/openai-shifts-checkout-plans-agentic-commerce-strategy/), and kept the protocol as the link to merchants.
-   Google launched the Universal Commerce Protocol on 11 January 2026 for checkout in AI Mode and the Gemini app, for eligible US retailers, who stay the seller of record.
-   Ashley, the furniture brand, launched a transactional shopping experience inside Perplexity with PayPal handling payment ([Woodworking Network, 30 November 2025](https://www.woodworkingnetwork.com/furniture/ashley-announces-partnership-ai-powered-answer-engine)).
-   JD Sports let US customers search and buy through AI platforms, starting with Microsoft Copilot ([Reuters, 12 January 2026](https://in.marketscreener.com/news/britain-s-jd-sports-launches-ai-shopping-for-us-customers-ce7e58dad08bfe22)).

The traffic follows. Adobe Analytics measured a 693.4% year-on-year rise in visits from generative AI tools to US retail sites in the 2025 holiday season ([Adobe, 7 January 2026](https://news.adobe.com/news/2026/01/adobe-holiday-shopping-season)). That is a US figure. For worked cases on Swiss shops, see the [agentic commerce examples](https://autobasket.store/use-cases).

## What are the five stages of an agent purchase?

Every agent purchase passes five stages, and each fails for a different reason:

| Stage | What the agent does | Why a shop drops out |
| --- | --- | --- |
| Discover | Searches and retrieves candidate pages | Its crawler is blocked in `robots.txt`, or the catalogue renders only with JavaScript |
| Understand | Extracts what the product is | No GTIN, brand or model name in structured data, so it cannot match the product ([GTIN guide](https://autobasket.store/learn/why-agents-need-a-gtin)) |
| Choose | Compares offers on price, stock, delivery and returns | The price sits only in page text, the delivery time only in an image |
| Buy | Builds a cart and pays through a protocol such as UCP or ACP | The checkout works only with a mouse and a keyboard |
| Retain | Reorders under a standing mandate | No machine-readable order or account path |

Our audit of 240 online shops in French-speaking Switzerland found the second stage to be the weak one: for 157 of 211 shops read in full, the stage that lost the most agents was reading the product itself ([Romandie audit, July 2026](https://autobasket.store/use-cases/romandie-online-shops-agent-readiness)).

## Which protocols power agentic commerce?

Four protocols carry most of the work. MCP lets an agent call a shop’s tools, UCP and ACP define how it places an order, and AP2 records what the person authorised it to pay. Each covers a different step, so they stack, and a shop needs only the ones its channels use. The [protocol comparison](https://autobasket.store/learn/agent-commerce-protocols-explained) gives the owner, launch date and status of each.

## Is agentic commerce available in Switzerland and Europe yet?

Recommendations are live everywhere ChatGPT, Gemini and Perplexity run, while agent checkout launched in the United States first. Adoption in the region is early: 5% of online shoppers in Switzerland, Germany and Austria had used an AI agent to help them shop, and about 18% planned to ([University of St.Gallen, 24 June 2026](https://www.unisg.ch/en/newsdetail/news/ki-agenten-im-onlinehandel-warum-konsumentinnen-und-konsumenten-beim-einkauf-noch-zoegern/)).

So the first two stages, being found and being understood, pay off in Switzerland today, and the buying stages pay off as each channel opens here. The guide to [agentic commerce in Switzerland](https://autobasket.store/learn/agentic-commerce-switzerland) covers CHF, VAT and TWINT.

## What should a merchant change first?

Start with the stages that pay off in every market:

-   Let the search and shopping crawlers in, and make sure product content exists in the HTML without JavaScript.
-   Declare every product as Schema.org `Product` with an `Offer` carrying price, currency, availability, shipping details and a return policy.
-   Check that the price in the markup is the price on the page, since a mismatch gets an offer dropped.
-   Treat `llms.txt` as optional, for agents that fetch it, after the structured data. The [llms.txt guide](https://autobasket.store/learn/llms-txt-markdown-mirrors-schema) explains why Google does not need it.

Checkout work makes sense only after that, because an agent that cannot read an offer never reaches the cart. The [free readiness check](https://autobasket.store/#readiness-scan) tests one product page in under a minute, the [Buyer Journey Check](https://autobasket.store/services/buyer-journey-check) runs all five stages through real assistants, and the [Machine Readability Sprint](https://autobasket.store/services/machine-readability-sprint) fixes the product data in seven days.

## Where to read next

-   [Agentic commerce in Switzerland](https://autobasket.store/learn/agentic-commerce-switzerland)What changes for a shop that sells in CHF, with VAT-inclusive prices and TWINT at checkout.
-   [UCP vs ACP vs AP2 vs MCP](https://autobasket.store/learn/agent-commerce-protocols-explained)Who owns each buying protocol, when it launched and which ones your channels need.
-   [Agentic commerce examples](https://autobasket.store/use-cases)Three buying missions traced field by field, from the prompt to the checkout.
-   [Agentic commerce readiness check](https://autobasket.store/services/buyer-journey-check)The five stages run through real assistants on your own catalogue.

## Sources

1.  [University of St.Gallen, AI agents in online retail, 24 June 2026](https://www.unisg.ch/en/newsdetail/news/ki-agenten-im-onlinehandel-warum-konsumentinnen-und-konsumenten-beim-einkauf-noch-zoegern/)
2.  [OpenAI, Buy it in ChatGPT, 29 September 2025](https://openai.com/index/buy-it-in-chatgpt/)
3.  [Digital Commerce 360, OpenAI shifts checkout plans, 6 March 2026](https://www.digitalcommerce360.com/2026/03/06/openai-shifts-checkout-plans-agentic-commerce-strategy/)
4.  [Google, new agentic commerce tools and the Universal Commerce Protocol, 11 January 2026](https://blog.google/products/ads-commerce/agentic-commerce-ai-tools-protocol-retailers-platforms/)
5.  [Adobe Analytics, 2025 holiday season, 7 January 2026](https://news.adobe.com/news/2026/01/adobe-holiday-shopping-season)
6.  [Woodworking Network, Ashley partners with Perplexity, 30 November 2025](https://www.woodworkingnetwork.com/furniture/ashley-announces-partnership-ai-powered-answer-engine)
7.  [Reuters via MarketScreener, JD Sports launches AI shopping in the US, 12 January 2026](https://in.marketscreener.com/news/britain-s-jd-sports-launches-ai-shopping-for-us-customers-ce7e58dad08bfe22)

## See how your own product pages score

Bring one of your product pages to a first conversation and we read it with you the way an agent does, which is the fastest way to turn what you just read into a ticket for your developers.

[Start selling smarter](https://autobasket.store/contact#session) [Read one product page first](https://autobasket.store/#readiness-scan)