Most ecommerce advice is built around a key assumption: that humans are doing the shopping. But that’s starting to change — and fast.
This is because a new type of “customer” is emerging: AI agents.
So in this post, I’m going to explain exactly what agentic ecommerce is, how it works, and what you need to do to your online store to make the most of it.
At its simplest, agentic ecommerce is when AI systems shop on behalf of users. Instead of someone going to Google, sifting through results, comparing products, and checking out, they’d give a single instruction to an AI assistant — something like: “Find me a good pair of running shoes under $100 and order them.”
Now, many shoppers are already using ChatGPT, Google Gemini, and Microsoft Copilot to get most of the way through this purchasing process. These AI tools can check multiple sources, compare options, analyze reviews, and suggest the best choices.
But we’re still in a situation where the user reviews the final recommendations, clicks a preferred option, and completes the purchase themselves on a traditional online store.
However, as AI systems become ever more connected to ecommerce platforms and payment tools, that last step is starting to disappear. Very soon, consumers will be able to simply give an AI tool like ChatGPT or Gemini permission to handle the entire shopping process on their behalf, including payment and shipping.
The AI won’t necessarily need to visit any online stores — data feeds and a checkout integration will be all it needs for a purchase.
So what does this mean for ecommerce merchants?
Well, in traditional ecommerce, success has typically depended on things like strong branding, a user-friendly site, and persuasive copy.
AI agents care less about all that — they’re more worried about getting easy access to data. This means your product range needs to be easy for machines to interpret — not just presented in a way that appeals to humans.
So, you’ll need to make sure that when building an online store, you pay more attention than ever to providing highly accurate product information, using structured data, and ensuring relevant APIs and AI tool integrations are in place.
That’s not to say you should abandon branding entirely — with agentic ecommerce, AI might still be making decisions, but humans will be experiencing the products. And some shoppers may still prefer to do things the old-fashioned way — so your online presence should continue to look appealing.
But with the rise of AI-based shopping, it’s definitely time to pay more attention to how you present and share product data.
It’s still early days, but this shift is already underway — and the businesses that adapt to it quickly are likely to have a big advantage.
Top ways to prepare your online store for agentic ecommerce
- Implement robust structured data (schema markup)
Use formats like JSON-LD with full product schema (price, availability, brand, GTIN, attributes). AI agents rely heavily on structured, machine-readable context. - Create and maintain a clean product data feed
Provide a regularly updated, API-accessible or downloadable feed (e.g. JSON, XML) with all product details. - Standardize product attributes
Ensure consistent naming for sizes, colors, materials, and categories. - Expose a public or partner API
Allow agents to query products, pricing, stock levels, and variants programmatically. Even a simple REST API can make your catalog far more accessible to AI systems. - Enable real-time inventory and pricing endpoints
Agents will prioritize sources they can trust to be accurate at the moment of purchase. Cached or outdated data will get ignored. - Integrate with major commerce platforms and aggregators
Ensure compatibility with ecosystems that AI tools are likely to plug into (e.g. marketplaces, payment providers, shopping graphs). - Prepare for agent-based checkout
Support tokenized payments, one-click checkout, and third-party checkout APIs so AI systems can complete transactions without human intervention. - Make policies machine-readable
Clearly structure returns, shipping, warranties, and delivery times in a format AI can parse. - Optimize for entity clarity, not just keywords
Make sure your products are clearly identifiable as entities (brand + model + type). This helps AI confidently match your product to a user request. - Invest in data accuracy and completeness
Missing specs, vague descriptions, or inconsistent pricing will reduce your chances of being selected by an AI agent. - Track and log API access & agent traffic
Start distinguishing between human and machine interactions so you can understand how AI systems are discovering and using your data.
Frequently asked questions about agentic ecommerce
What is agentic ecommerce?
Agentic ecommerce is where AI agents shop on behalf of users. Instead of manually browsing products, users give instructions to an AI tool which then handles product discovery, comparison, and even purchasing.
How do AI agents shop for products?
AI agents use structured data, APIs, and product feeds to find, compare, and evaluate items. They analyze pricing, availability, reviews, and specifications to make decisions.
Will agentic ecommerce replace traditional online shopping?
While AI-driven shopping will grow — and may for many customers become the norm — some consumers will still prefer browsing products and buying themselves. Both experiences are likely to coexist.
How can ecommerce businesses prepare for agentic ecommerce?
To ensure AI agents can easily find and “understand” their products., merchants should ensure their stores provide structured data, accurate product information, clean data feeds, and API access.
Why is structured data important for agentic ecommerce?
Structured data helps AI agents interpret product details accurately. Without it, your products may be harder to find, compare, or recommend in AI-driven shopping experiences.
Chris Singleton is the Founder and Director of Ecommercetrix.
Since graduating from Trinity College Dublin in 1999, Chris has advised many businesses on how to grow their operations via a strong online presence, and now he shares his experience and expertise through his articles on the Ecommercetrix website.
Chris started his career as a data analyst for Irish marketing company Precision Marketing Information; since then he has worked on digital projects for a wide range of well-known organizations including Cancer Research UK, Hackney Council, Data Ireland, and Prescription PR. He then went on to found the popular business apps review site Style Factory, followed by Ecommercetrix.
He is also the author of a book on SEO for beginners, Super Simple SEO.