Agentic Commerce: Who Sells for Your Brand When AI Buys?

Agentic commerce is buying in which an AI agent acts for a person: it searches, compares, fills the cart and, where the platform allows it, completes the purchase. Those agents serve the shopper or the platform that runs them, so the question every brand now faces sits on the other side of the sale: who sells for the brand when an AI does the buying.

The buy side filled in fast in 2026. Microsoft opened Copilot Checkout on January 8, and three days later Google announced the Universal Commerce Protocol, with checkout inside AI Mode and the Gemini app. ChatGPT, Perplexity and Amazon run their own versions. Most guides to agentic commerce come from the companies building those rails. This one takes the brand's chair.

Updated September 24, 2026. Platform facts are sourced to each company's own documentation, checked that day.

What is agentic commerce?

Agentic commerce is a way of buying in which a person hands one or more consequential steps (finding, comparing, choosing or paying) to an AI agent that acts on their behalf, inside limits the person sets. A shortlist the shopper approves counts, and so does a paid order: the line is crossed when the agent acts.

Take one request: "waterproof hiking boots, men's size 11, under $180, delivered by Friday." A search engine answers with links. An agent answers with three pairs that meet every constraint and, with approval, buys one. Google already runs that last step for eligible US merchants: a shopper tracks a product with size, color and budget, and when the price falls within that budget, Google can buy it on the merchant's site with Google Pay once the shopper confirms (Google, November 13, 2025).

Three parties meet in every such sale: the buyer's agent, the rails that move the order and the money (protocols, payment networks, platforms), and the brand. Almost everything shipped so far serves the first two. The seller side of agentic commerce, which we call agentic selling for brands, is the work of selling to both buyers at once, the person and the agent acting for them, from the same facts and on terms the brand sets.

The money is still a forecast: McKinsey estimated in October 2025 that agents could orchestrate $900 billion to $1 trillion of US B2C retail revenue by 2030, and $3 trillion to $5 trillion globally (McKinsey). Our review of which agentic commerce statistics show actual adoption separates measurement from projection.

How does agentic commerce work, step by step?

Each step the buying agent takes creates a job on the seller's side.

The buying agent reads records, so it may never see the lifestyle photo. One contradiction, a feed at $149 against a page at $129, can drop a product from the comparison. Veliu's founding paper lists the four failure classes its team observes most often: "attributes trapped in prose or images, stale availability, claims without machine-checkable sources, and checkout flows that break under delegated sessions" (Buying Went Agentic. Selling Is Next.). The payment step is unpacked in our guide to agentic checkout, from variant validation to payment authorization.

Agentic commerce vs ecommerce: what changes for a seller?

A chat window on your site waits for a visitor. A buying agent in ChatGPT arrives with a task, weighs you against other brands and leaves with an order or without one. That is the distance between answering and selling, and it is why a brand agent differs from a chatbot.

Where can a brand sell through AI agents today?

As of September 2026, five buying surfaces matter to a US brand. The questions to ask each one: where the money moves, what customer data arrives, what the brand controls.

Three patterns matter more than any row.

ChatGPT is moving checkout to the merchant's store. ChatGPT was the first platform to implement the Agentic Commerce Protocol, first released September 29, 2025. OpenAI now says it is "moving away from a standalone Instant Checkout experience in ChatGPT" and that "purchases are completed on merchant-owned websites or apps" (OpenAI). Copilot and Google still run checkout inside their own surfaces. A guide that still presents in-chat checkout as the way ChatGPT sells is out of date.

The brand stays the seller on every channel. That settles who takes the payment and ships the box. It leaves open who keeps the conversation that produced the order.

Enrollment can happen without a decision. Shopify stores were enrolled in Copilot Checkout automatically, with an opt-out window. A channel you never chose can already sell your products.

Platform detail: selling on ChatGPT, variant by variant, the Perplexity Merchant Program feed requirements, and Google Shopping feed optimization for price and stock agreement.

ACP, UCP, AP2 and MCP: which protocol does what for a seller?

Most brands will never implement a protocol directly; their commerce platform or payment provider does. What a seller needs is the consequence of each.

From the seller's chair: ACP and UCP decide where your checkout can appear, AP2 and network programs such as Visa's prove what was authorized and by whom, and MCP decides how an agent reaches your data. None of them writes your product facts, sets your prices or speaks for your brand. More in our agentic commerce protocol map.

How do AI agents choose what to recommend?

The platforms document what they read, and three inputs recur.

• A feed with current price and availability. OpenAI says product feedsA structured export of the catalog (id, title, description, link, image, price, availability) in the Google Merchant Center spec, the format most shopping surfaces ingest.Read more give ChatGPT "the catalog data it needs to index your products" and asks merchants to "share up-to-date product data, including titles, descriptions, images, price, and availability" (OpenAI). Copilot Checkout requires a Microsoft Merchant Center feed.
• Fresh data. Google put its Shopping Graph at "more than 50 billion product listings, 2 billion of which are updated every hour" in November 2025 (Google) and at "over 60 billion product listings" in May 2026 (Google). AI Mode shows comparison tables with review insights.
• Answers to buyers' questions. Google announced Merchant Center attributes for "answers to common product questions, compatible accessories or substitutes" in January 2026, and opened conversational attributes to retailers globally in May (Google, May 20, 2026).

An agent recommends what it can read, verify and compare. That favors purchases whose decision fits in a table: batteries, printer ink, a replacement filter.

Why premium and subjective brands need their own agent

In a February 2026 r/ecommerce thread asking whether anyone had succeeded with agentic commerce, one commenter reported early wins in structured, high-intent flows (comparisons, bundles, choices between defined specs) and weaker results in subjective or brand-driven purchases, and said it "feels more like assisted selling than search." Another expected agents to struggle with "anything subjective (fashion, food, gifts)" (r/ecommerce).

That is how people buy a coat, a wine or a sofa. Veliu's founding paper argues that for purchases like these the want takes shape while the person is looking. A comparison agent flattens what sells them: fit, taste, provenance, occasion. Someone on the seller's side has to state those facts in a form a buyer's agent can use, answer the follow-up questions, and guide the person who arrives. For a premium brand, that someone is its own agent. The product-data side is in our guide on how to get recommended by ChatGPT with provable product facts.

Should a brand own its agent or rent one?

The platforms have answered half of this. Google's Business Agent went live in US Search on January 12, 2026: "like a virtual sales associate that can answer product questions in a brand's voice" (Google, January 11, 2026). To customize it, a brand needs a US store, a verified Merchant Center account, at least 50 approved free listings and a claimed brand profile; until the brand customizes it, Google shows "a standard Google-branded version" (Google Help). Microsoft's Brand agents, in beta for Shopify and WooCommerce sites, put a conversational agent on the merchant's own site and publish the catalog to Microsoft Merchant Center for Bing and Copilot (Microsoft Learn).

Both validate the category: brands will be represented by agents. Both speak in the brand's voice, and Microsoft's does it on the brand's own site. Four things separate an agent the brand owns.

Independence. A platform's agent works for the channel, and the channel also sells the ads. Google introduced Direct Offers, which it calls "this new Google Ads pilot", in the same post as Business Agent. Microsoft introduced Brand Agents on its advertising blog, and its documentation requires merchants to state in their site privacy statement that conversational content "is shared with Microsoft and is used to operate, secure, and improve the service." All of it is public, and all of it makes sense for a channel. It also settles whose interest the agent serves. Their agent works for the channel. Yours works for you.

The whole job. A hosted agent answers what reaches its surface. An owned agent does all of it: it studies the market, prepares the store at the source, sells, and measures the result from outside, the way a buyer's agent sees the brand.

Category education. Selling a Barolo, a cashmere coat or a sofa takes knowledge a catalog does not hold: what a buyer should ask, what decides the comparison, when the honest answer is "this one is wrong for you." Installed in hours, educated for years.

Both buyers. One agent sells to the person on the brand's agentic storefront and to the buyer's agent arriving through the protocols above, with the same competence. The term is unpacked in what a brand agent is and why brands should own theirs.

Write the agent's mandate before you pick one

Rent, own or both, write down what any agent speaking for the brand may do. The mandate is what a buyer's agent negotiates with.

Who owns the customer when an AI agent buys?

On paper, the brand. Google: "Retailers remain the seller of record." Microsoft: "You own the transaction, the customer data, and the relationship." ACP: businesses "maintain their customer relationships as the merchant of record."

In practice, the order arrives and the conversation stays where it happened. None of the checkout documentation cited here describes handing the shopper's questions, the brands compared or the reason one lost back to the merchant. For Business Agent, Google lists performance insights as "coming soon." Questions that used to reach the brand through its own pages now reach the platform first.

Three moves keep the relationship with the brand:

1. Recognize the customer at checkout. Visa's Trusted Agent Protocol lets an agent pass loyalty numbers, emails and phone numbers with the shopper's consent. Your checkout should accept them.
2. Own the first contact after the sale. Amazon's Buy for Me page is explicit: "Delivery, returns and exchanges, and customer service are managed by the brand store." That contact is where the relationship starts.
3. Keep your own conversation log. What buyers ask your own agent, directly or through theirs, belongs to the brand.

Does agentic commerce commoditize brands?

It can. Adyen framed the risk in February 2026: "How do businesses avoid becoming interchangeable fulfillment layers, competing only on price and speed?" (Adyen). An agent comparing ten listings sorts by what it can compare, and price is the easiest column. Five moves protect margin:

1. One price everywhere. Under AP2 the shopper signs a Cart Mandate recording "the exact items and price." The price an agent sees is the price you are held to.
2. Offers an agent can read. Google's Direct Offers pilot lets advertisers "present exclusive offers for shoppers who are ready to buy" in AI Mode. Decide which offer goes to which channel, and track its cost.
3. Columns price cannot fill. Bundles, warranty, repair, provenance, fit guidance, stated as facts an agent can verify.
4. A floor for your own agent. An agent that makes offers needs a limit it cannot cross.
5. Channel economics. Microsoft says it takes no commission or affiliate fee on Copilot Checkout today (Microsoft). Read each channel's terms before you price for it.

How do you measure what AI agents sell?

Measure what agents sell for you and what they say about you.

A fixed prompt set checks correctness. The questions buyers actually ask live in real conversations, so read your logs as well. Freeze a baseline before you change anything. Without a dated day-zero record, no later number proves what changed.

A readiness checklist you can run this week

Run it on one bestseller and one long-tail product. The long tail is where catalogs break.

If you would rather start with your own store, Veliu's free report reads your catalog from the outside, the way a buying agent does, with nothing to install.

Agentic commerce in 2026, by date

Where Veliu stands

Veliu is the brand agent that does the selling. We call the discipline agentic selling for brands, and this page is the thesis behind it. Every brand will need an agent that works only for the brand: one that studies the market, prepares the store at the source, sells to people and to AI agents with the same competence, and measures the result from outside. Checkout stays on the brand's rails, and Veliu stays out of the payment chain. The argument in full is in our founding paper, Buying Went Agentic. Selling Is Next., with a companion research paper on why the agentic storefront needs a component grammar.

What to do next

1. Take a position on every channel in the table, starting with any that enrolled you by default.
2. Run the ten checks on two products this week.
3. Write the mandate before any agent, rented or owned, speaks for your brand.
4. Freeze a baseline, then track orders, answer accuracy and the questions buyers ask.

Authors: Elyas Tirit, Founding Designer & Builder at Veliu, and Azra Hadziabdic, Co-Founder & Founding Product Engineer at Veliu

Methodology note: On September 24, 2026, the Veliu Editorial Team checked every platform fact above against the publishing company's own documentation, linked in place: Google, Microsoft, Shopify, OpenAI, the ACP and MCP projects, Visa, PayPal and Amazon, plus published analyses by Adyen and McKinsey. The r/ecommerce observations are paraphrased from the public thread. The mandate, KPI and checklist tables are editorial frameworks with no simulated results.