When you ask an AI shopping assistant to “find a gift for a new baker under $75,” it can search across online retailers, compare product options, and complete checkout on your behalf—while you never leave the chat.
This shift toward autonomous AI-assisted shopping—called agentic commerce—is accelerating. McKinsey projects AI agents could facilitate $3 trillion to $5 trillion in global commerce by 2030.
For online retailers, agentic commerce represents a new channel to reach ready buyers. As a Shopify store owner, your products are automatically discoverable through AI platforms like ChatGPT, Gemini, and Google’s AI Mode.
Here’s what to know about agentic commerce and how to optimize your online store for this new era of AI-powered shopping.
What is agentic shopping?
Agentic shopping means an AI agent acts as an autonomous personal shopper, handling product research, discovery, comparison, and even the purchase on a customer’s behalf. What makes this software agentic is its ability to:
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Act autonomously. Complete shopping tasks with minimal human input, following predefined spending limits or other guardrails.
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Reason and adapt. Adjust recommendations based on changing conditions like price drops, stock availability, or delivery timelines.
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Integrate across platforms. Connect to multiple retailers and payment providers through open APIs and protocols.
For example, a shopper might tell an AI agent, “I need a carry-on suitcase under $200 before my trip on March 15.” The agent then searches product catalogs across online retailers, evaluates relevant products based on reviews, pricing, inventory, and delivery timelines, and, if the item falls within the shopper’s pre-set spending threshold, the agent can complete the purchase without requiring approval for each step.
This differs from traditional chatbots that simply answer questions or provide an assortment of links. Autonomous agents take action on the shopper’s behalf, executing the entire shopping journey and interfacing with multiple systems.
How do agentic shopping agents work?
Imagine a shopper opens an AI platform and prompts it with: “Find the best wireless headphones with noise cancellation under $200, that can be delivered by Friday.” Instead of providing the shopper with a roundup of links to browse on their own, an AI-powered personal shopper moves through the following steps independently:
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Interpret consumer intent and constraints. Understand the product type, required features, budget, and delivery deadline.
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Query data. Scan seller product catalogs via APIs like the Model Context Protocol and filter options across multiple leading retailers based on the shopper’s criteria.
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Curate recommendations. Produce a list of suggestions with real-time pricing, availability, and relevant discount codes, drawing on what the agent has learned about the shopper from previous conversations.
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Refine based on feedback. Adjust recommendations when the shopper provides feedback like “over-ear, not earbuds.”
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Execute the transaction. Complete checkout using secure payment methods through protocols like the Agent Payments Protocol (AP2), either after explicit approval or automatically if the shopper has pre-authorized purchases within certain parameters.
Why agentic shopping matters for your store
Agentic shopping is the next generation of product discovery and purchasing. Customers can go from a conversation to a completed order, without ever clicking through to a business’s website. This transformative shift creates several advantages for digital commerce businesses:
Reduce friction and decision fatigue
Complex checkout processes and decision fatigue are major friction points that can prevent or delay online purchases.
According to the Baymard Institute, the average online shopping cart abandonment rate is approximately 70%. Common reasons include complex checkout flows and the need to create an account. Agents handle this workflow autonomously, reducing friction for shoppers that could drive abandonment.
Agentic commerce also reduces friction by making purchase decisions and handling checkout on a shopper’s behalf. A Columbia University study found that when shoppers were offered six jam options instead of 24, their purchase rate increased from 3% to 30%. Agentic commerce goes further than simply curating options; it eliminates decision fatigue by delegating both the research and the decision to an agent. This removes the burden of making a choice from dozens of similar products.
Keep the customer relationship
When a shopper buys through an AI agent, you’re still the seller. Orders placed through agentic storefronts flow directly into your Shopify admin, and you retain responsibility for the customer relationship and post-purchase experience—just as you would with orders from your online store.
You can add those customers to your email list, send product recommendations, offer rewards, boost brand loyalty and customer engagement, and drive growth over time.
How to prepare your store for agentic commerce
- Write product descriptions for Al discovery
- Help Al agents answer shoppers’ questions
- Update your inventory and pricing information
You don’t need to overhaul your existing systems to use agentic commerce and AI shopping. If you’re a Shopify store owner, Shopify Catalog automatically shares your product data with AI platforms like ChatGPT, Gemini, and Microsoft Copilot, making your products discoverable in AI search results.
Shopify Agentic Storefronts enables customers to shop your products without having to leave their chat. Depending on which AI platform they’re shopping in and their settings, they can either complete checkout directly on the platform or be directed to an in-app browser (if shopping on mobile) or your Shopify store in a separate tab (if shopping on desktop).
The strategies below can help you improve your discoverability for AI agents. Many align with what you may already do for search engine optimization (SEO) and customer experience—writing clear product descriptions, answering shopper questions, and maintaining accurate inventory.
Write product descriptions for AI discovery
To make shopping decisions, agents need comprehensive product information they can reason about. When a shopper says, “buy me the best insulated travel mug under $30,” the agent needs to assess what makes one mug better than another. Your product description provides that data.
Instead of a vague description like “premium insulated travel mug” or a keyword-stuffed list like “ceramic mug dishwasher safe microwave safe 12 ounce coffee mug lead-free,” write in clear, natural language that AI can parse. Include factual information and benefits that explain why a shopper might choose your product and what sets it apart from others.
For example: “This 16-ounce stoneware mug keeps drinks hot for six hours or cold for 12 hours, earning hundreds of five-star reviews. The lead-free glaze won’t chip in the dishwasher. It’s microwave safe for easy re-heating. Double-wall insulation prevents condensation, with a leak-proof design that fits standard cup holders.” This version gives intelligent agents the context they need to evaluate whether your product is a good match: Does it meet the temperature retention requirement? Does it fit in a car cup holder?
If you organize products using internal tags or custom fields (like “Dishwasher_Safe” or “Material_Ceramic”), use Shopify Catalog Mapping to translate them into natural language that AI platforms can interpret.
Help AI agents answer shoppers’ questions
In addition to anticipating questions about your products, think about questions shoppers and their agents might have about your store’s policies, such as your shipping options, delivery timelines, return windows, or whether you offer exchanges.
Use the Shopify Knowledge Base app to create FAQs about your business policies for autonomous AI agents to reference. These answers don’t appear on your website but help AI agents provide accurate information when shoppers ask.
Update your inventory and pricing information
AI agents pull real-time data when making recommendations and purchase decisions, including:
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Stock levels across all variants (size, color, etc.)
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Pricing, including any promotional rates or temporary discounts
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Shipping estimates based on actual fulfillment capacity
Shopify’s inventory management tools automatically sync inventory across all your sales channels, including AI platforms. When you update pricing or stock levels in your admin, those changes show up in Shopify Catalog in real time and that data is provided to AI shopping agents.
For high-volume or frequently changing inventory, consider setting up automated inventory management or integrating with your warehouse management system to prevent overselling during busy periods when AI agents may be making multiple consumer purchasing decisions simultaneously.
Agentic shopping FAQ
What does agentic mean?
Agentic AI refers to systems that can take action on a person’s behalf with minimal human input. An AI agent can handle shopping tasks that a customer would do themselves, such as conducting product comparisons, filtering options based on preference and budget, and completing the checkout process.
What is an agentic commerce strategy?
An agentic commerce strategy is your plan for selling through AI-driven channels by structuring product data, FAQs, pricing, and inventory so AI platforms can accurately recommend your products to shoppers with high consumer intent. By tracking which AI platforms drive sales and capturing customer insights from these channels, you can refine your approach—using attribution data (for example, from ChatGPT, Gemini, or another AI platform) to understand performance and optimize results.
Who is doing agentic commerce?
Major AI platforms like ChatGPT, Microsoft Copilot, and Google (via AI Mode and the Gemini app) now support agentic commerce, enabling shoppers to complete purchases directly in chat. While others wait for these capabilities to roll out more broadly, Shopify store owners—from small businesses to industry leaders—are already reaching customers through AI agents. Shopify Catalog automatically shares merchant product data with these AI platforms.
