Agentic Commerce: Benefits & How To Get Started in 2026

Agentic commerce is a new model of ecommerce where AI agents shop on behalf of consumers, taking actions like researching products, comparing options, and completing purchases autonomously. 

The model is gaining traction: McKinsey estimates that, globally, AI agents could mediate $3 trillion to $5 trillion of consumer commerce by 2030. For businesses, this creates an urgent new mandate: to ensure that AI agents pick your product.

This article explains what agentic commerce is with examples and benefits. Plus, how it differs from the AI tools you may already be using, and steps you can take to put your products in front of AI agents.

What is agentic commerce?

Agentic commerce is an online shopping model where AI agents make decisions across the entire shopping journey, from product discovery through checkout and post-purchase support. 

AI agents are more specialized than the general-purpose platforms they run on. Alex Pilon, senior staff engineer at Shopify, says an agent is “a configuration of AI” that is able to “work in a broader context than a simple chatbot interface.” The agent connects to databases or third-party web services and resources, such as a store’s product knowledge base. 

A shopping agent is that configuration directed toward buying. It reads the shopper’s request, queries product catalogs, and works through checkout. 

Agentic commerce is one step beyond conversational commerce, in which a chatbot or an answer engine like ChatGPT helps a shopper browse and decide what to buy. For example, a chatbot that recommends a moisturizer based on a customer’s skin type.

In agentic commerce, AI agents do the shopping themselves. Rather than just recommending a product, these standalone AI tools compare options across stores and brands. They can also check inventory, prices, and shipping policies, and complete purchases when the shopper approves. 

Real-world examples of agentic commerce

AI engines built on top of large language models (LLMs) can now act as shopping agents, finding products and, in some cases, handling the mechanics of checkout: 

• Copilot Checkout: Part of Microsoft’s AI assistant that lets shoppers buy without leaving the conversation. 

• Instant Buy: PayPal’s checkout feature built in partnership with the AI search engine Perplexity, which also lets shoppers make purchases without exiting the conversation. 

• ChatGPT: OpenAI’s conversational AI platform that surfaces products from brands and directs buyers to complete checkout through the brand’s store. 

• Google’s agentic checkout: Google Search’s checkout feature that runs inside its conversational AI Mode (with eligible US retailers). Google reports that it’s extending that checkout experience to Canada, Australia, and the UK. The same checkout is coming to the Gemini app, Google’s AI assistant. 

The technology still has room to mature, and new capabilities are still in development. 

McKinsey anticipates a near-future in which AI agents autonomously reorder household staples when supplies run low and negotiate prices between a shopper’s agent and a retailer’s agent. The firm expects AI agents will manage the entire post-purchase experience without human intervention.

Benefits of agentic commerce for small businesses

• Reaching high-intent shoppers
• Competing on specificity instead of ad budget
• Selling through new channels without added operational burden
• Reducing friction and increasing conversions

Reaching a new sales channel used to mean setting up a new integration, workflow, and set of listings, but today’s tools lower the barriers to setup. Among US entrepreneurs, 67% say AI tools are making entrepreneurship more accessible, according to a survey by The Harris Poll for Shopify. 

For stores that run on Shopify, agentic commerce is growing quickly. In the second quarter of 2026, AI-driven traffic to Shopify stores grew 197% (roughly three times) year over year, and orders from AI-powered searches also grew three times. 

Millions of stores are selling in Microsoft Copilot and ChatGPT. As more AI platforms add agentic commerce capabilities, the list of participating global retailers and small businesses continues to grow. 

Agentic commerce can benefit small businesses by:

Reaching high-intent shoppers

A large share of shoppers are adopting AI. Shopify’s 2025 Global Holiday Retail Report found that 64% of shoppers said they were likely to use AI to some extent when making purchases. This increased to 84% of shoppers in the 18 to 24 age range.

Shoppers who arrive from an AI channel tend to be further along in their purchase decision. Shopify reports that new buyers place orders through AI channels at nearly twice the rate of other channels. A shopper who asks an agent for “sweat-wicking running shorts with a zip pocket” has already ruled out many other products. 

If your products aren’t showing up in these conversations, you’re missing a chance to reach shoppers who are ready to buy. These are people actively describing what they want and expecting AI to find the right match. 

Competing on specificity instead of ad budget

Specialized products perform well in AI channels. Shopify’s analysis found that in the second quarter of 2026, 75% of AI-attributed orders (where the buyer discovered the product through an AI channel) were in categories ranked outside the top 100 by sales volume. 

The mechanism for product discovery is different from traditional web search. A search engine ranks results partly on popularity, which means a small brand is competing with established names for the same terms. 

An AI agent matches a request to the best answer it can find. When asked for “a vertical hydroponic system that fits a nine-foot wall,” it looks for products with data matching the description rather than the best-known brand.

When writing product descriptions, think about the specific parameters a shopper might name, like use case, material, measurements, and constraints, not just the broad category you compete in. 

Selling through new channels without added operational burden 

With agentic commerce, you list your products once in a centralized catalog and it syndicates across AI platforms. The same product listing can surface in a ChatGPT recommendation, a Copilot checkout, and Shop app search results. 

Those orders arrive in the same admin as your online store sales. This means your products can appear in multiple AI channels without you having to build a separate strategy for each one.

Check which AI channels your platform already syndicates products to, so you know where your products are eligible to appear. If you’re a Shopify user, you can see this in the Agentic section of your admin.

Reducing friction and increasing conversions

According to the Baymard Institute, the average online cart abandonment rate is about 70%. Nearly one in five US online shoppers have abandoned an order because the checkout was too long or complicated. 

Agentic commerce reduces some of that friction. With agentic payments, a shopper can complete a purchase inside a conversation using stored payment credentials and without needing to create an account, navigate to another site, or re-enter payment info. 

Microsoft reports that when shopping intent is present, journeys that include Copilot are 194% more likely to result in a purchase than those without it.

How to get started with agentic commerce

1. Audit and enrich your structured product data
2. Build out your AI-facing brand presence
3. Enable agents to sell for you
4. Monitor and optimize your AI visibility

As a store owner, there are a few practical steps you can take to position your store for AI commerce, whether you’re on Shopify or another ecommerce platform: 

1. Audit and enrich your structured product data

AI agents don’t browse your store the way humans do. They rely on structured data: standard, machine-readable fields that hold details such as title, material, dimensions, and price. The more complete and specific those fields are, the more reliably an agent can determine whether your product matches a shopper’s request. 

Fill out the standardized product fields in your ecommerce platform completely. 

Schema markup is machine-readable code that tells both search engines and AI systems what you’re selling, what it costs, and whether it’s in stock. Together, these forms of structured data ensure AI platforms can find your product information.

Shopify Catalog provides the same schema fields automatically for all stores on Shopify, and you can customize how your products are listed with Catalog Mapping. 

However, machine-readable formatting only helps if the product information itself is complete and specific. Start by reviewing your product catalog. Does each product have a specific, descriptive title? Are materials, sizes, and use cases spelled out? 

A hiking backpack should be described as “40L waterproof hiking backpack with laptop compartment,” for example, not just “Adventure Day Pack, Green.” 

Common pitfalls to avoid: 

• Subjective marketing language. Using descriptions like “game-changing design” rather than factual specifications. AI agents don’t respond to hype the way humans might.

• Variants presented as separate products. If the same shirt in five colors shows up as five different items, an agent may not know they’re related.

• Unreadable product information. AI crawlers can’t reach data that’s trapped inside display templates or JavaScript. 

• Thin or missing attributes. If your product doesn’t have material, size, or compatibility fields filled in, it can’t be matched to a request that names these attributes. 

To see how your current product pages measure up, use Shopify’s free audit tool to check whether your structured data and robots.txt are set up for AI shopping assistants to find and recommend your products. 

2. Build out your AI-facing brand presence

Beyond product data, AI agents pull from your FAQs, return policies, shipping information, and pricing data to answer shopper questions. If a shopper instructs an agent to buy only from brands with free returns, the agent will consider your products only if you clearly state your free returns policy. 

Include customer reviews and Q&As on your product pages. AI agents use these to assess product quality and relevance when making recommendations.

Businesses that run on Shopify can use Knowledge Base to review and customize the information AI platforms use. It helps to train AI agents on your brand voice and policies so they can field questions across AI channels. 

The same principle applies on any platform. Publish your policies and FAQs as dedicated pages with clear headings and plain language. Don’t bury this information in accordion menus or JavaScript elements that are challenging for AI crawlers to access. 

As you connect your store to AI platforms, review each one’s terms about sharing customer and transaction data. Some platforms share only the information required to complete the order, which may exclude browsing data or email addresses (normally you get this data from a direct sale). 

If that’s the case, make sure shoppers can opt into direct communication with your brand, for example, with inserts in your packaging or a prominent newsletter signup on your website. 

3. Enable agents to sell for you

On Shopify, Agentic Storefronts is active by default for eligible stores, so there’s nothing to install. You gain a presence in AI channels including ChatGPT, Copilot, AI Mode in Google Search, the Gemini app, and Meta, all managed from the Shopify admin. 

To be eligible, your store needs a paid plan, an unlocked storefront, and completed store policies (terms of service, privacy, and return and refund). Every product needs a title, at least one image, a price, and shipping to the US or Canada to qualify for Shopify Catalog.

Requirements also vary by AI channel. Stores selling to US buyers can use the ChatGPT and Copilot channels, regardless of where the store is based. AI Mode and Gemini are open to stores based in the US selling to US customers, with a broader rollout underway.

To review your setup, go to Sales channels > Agentic in your Shopify admin, where you can adjust the status of each AI channel. 

For Copilot and AI Mode in Google Search and the Gemini app, you choose whether shoppers check out inside the channel or are sent to your online store to complete their purchase. ChatGPT works differently: buyers complete the purchase on your store through an in-app browser on mobile or in a separate window on desktop. 

Once you’re set up, Shopify Catalog automatically broadcasts your product data across those channels. Orders flow into your store’s admin dashboard with full channel attribution, and you retain full ownership of customer relationships.

The Shopify Agentic Plan lets brands on any ecommerce platform, even those that don’t have a Shopify store, list products in Shopify Catalog and sell through Agentic Storefronts. There’s no monthly fee. 

When a sale runs through a channel that uses Shopify Checkout, such as Copilot or Google’s AI Mode, you pay Shopify’s standard payment processing rates on that order and nothing more. For ChatGPT, where the buyer finishes on your own site, the payment runs through the processor you already use.

4. Monitor and optimize your AI visibility

Search for your products in ChatGPT, Google AI Mode, Gemini, and Copilot the way a customer would. Ask, “What’s the best [your product category] under [price point]?” and see whether your brand shows up. If it does, verify the information. This takes a few minutes and gives you an immediate read on where you stand.

Then, look at the channels where you’re generating sales. If you’re on Shopify, Agentic Storefronts orders appear with channel attribution, showing which AI platform drove each sale. 

Compare that attribution against the queries you tested: when a product you expected to surface is missing, there may be a gap in a product field, a policy page, or a review section. Make those changes, then recheck.