AI Shopping Is Here: How to Get Your Store Into the Conversation
AI Shopping Is Here: How to Get Your Store Into the Conversation
Shoppers are increasingly asking ChatGPT, Copilot, and Gemini what to buy — and those AI tools are pulling product data from a very short list of sources. We at Air 66 think most e-commerce businesses have no idea how close they are to being invisible.
This isn't a distant threat. It's happening right now, in September 2026, and the gap between stores that are being recommended by AI assistants and those that aren't is widening every week. The good news is that the reasons most stores are being overlooked are fixable. Often quickly.
Why AI Tools Are Ignoring Your Products
In our experience, it comes down to structured data. Most stores simply don't have their product information marked up in a way that AI tools can confidently read and cite. That's a fixable problem, and most merchants don't even know they have it.
When someone asks ChatGPT "what's the best waterproof jacket under £150", the AI isn't browsing your site the way a human would. It's looking for clear, structured signals that tell it exactly what you sell, what it costs, what people think of it, and whether it's in stock. If your store isn't communicating in that language, you simply won't be in the running.
Schema markup is that language. Specifically, Product schema, Review schema, and Offer schema are the three that matter most right now. Together, they hand AI tools the precise information they need to recommend you with confidence. Without them, your products are just noise.
What You Can Do This Week
The single most impactful thing you can do right now is audit your schema markup. It's one of the highest-leverage technical changes available to e-commerce businesses at this moment, and it's often badly implemented or missing entirely.
Check whether your product pages have valid Product, Review, and Offer schema in place. Use Google's Rich Results Test as a starting point, but don't stop there. Many sites pass basic validation and still have incomplete or thin schema that isn't giving AI tools enough to work with.
On Shopify specifically, we've been doing something that's saved a huge amount of time. We connect a preferred AI chat tool directly to the Shopify store via the CLI, get it to audit all the products and identify gaps, create a prioritised plan, and then implement the changes. It's a fast, methodical way to get a large product catalogue into shape without doing it by hand. For stores with hundreds or thousands of SKUs, this kind of approach isn't just efficient, it's essential.
Shopify is also one of the reasons we're increasingly recommending it to clients who are serious about AI discoverability. The Shopify team is actively working to make sure the platform's structure — products, collections, metadata — is in a format that AI tools find easy to read. That's not a small thing. The platform you build on matters more than it used to.
Rethink How You Create Content
Schema is the technical foundation, but content is the other half of this. And it requires a genuine shift in how most businesses approach it.
Stop thinking about content purely in terms of pages and posts. Start thinking in terms of questions and answers. AI shopping assistants are built to respond to questions. If your content doesn't clearly, specifically, and confidently answer the questions your customers are already typing into those tools, you won't feature in the response.
What does that look like in practice? It means having product descriptions that directly address common buying questions. It means FAQ content that mirrors real search intent. It means comparison pages, buying guides, and specification detail that gives an AI assistant something concrete to pull from and cite.
The stores winning in AI search right now aren't necessarily the biggest or the most established. They're the ones whose content sounds like an answer, not a sales pitch.
The Window to Act Is Now
AI-driven shopping is not coming. It's here. And the businesses moving on this in late 2026 are positioning themselves well ahead of the majority who are still thinking about SEO in the traditional sense.
The technical fixes are real and achievable. The content shift takes more sustained effort, but it compounds quickly once you get going. Neither requires a complete overhaul of your store. They require focus and the right approach.
At Air 66, we're already working with e-commerce clients on exactly this, from schema audits and implementation through to content restructuring and Shopify optimisation for AI discoverability. If you want to understand where your store stands right now and what it would take to get you into the conversation, get in touch with us at Air 66. We'll give you a straight answer.