Large language models (LLMs) and AI agents increasingly determine which brands, shops and products are visible in the buying process. Not via a click, but via an answer. The question for store owners is no longer just 'Do I rank high in Google?' but 'Am I even being mentioned by AI?'
That's the core message of Ton Wesseling's recent piece in Twinkle Magazine: LLMs are your new visitors. And they have different demands than human visitors.
Consumers are asking their questions more and more directly to ChatGPT, Copilot or specialised shopping agents. "What's a good pram for the city?" Or: "Which running shoe suits beginner runners?"
The answer comes without clicks, without comparison, without a store visit. The AI selects which shops and products to mention — and that selection isn't based on great design or emotional marketing copy.
LLMs don't read design, creativity or implicit assumptions. They look for explicit clarity: what do you sell, who is it for, when is it relevant and why should you be trusted?
And here's the problem for many stores on Magento, WooCommerce or other legacy platforms:
| Issue | Impact for AI |
|---|---|
| Messy HTML structure | AI can't parse content well |
| Missing Schema.org markup | Product information isn't understood |
| Inconsistent product data | AI can't compare products |
| Plugin spaghetti | Conflicting information on pages |
| Outdated APIs | AI agents can't pull real-time data |
If your proposition, assortment and added value aren't crystal clear on your site, no technical trick can compensate for it.
Much e-commerce content is written to seduce, not to explain. But AI needs context:
"Who is this product for?" And just as important: "Who is it not for?"
That's not just AI-friendly — it also reduces decision stress for the consumer. There's an interesting overlap here between AI optimisation and conversion psychology.
Modern platforms like Shopify Plus are architecturally better prepared for the AI era. Not by accident, but by design:
Shopify themes are built on modern web standards. The HTML structure is logical, consistent and easy to read for both browsers and AI crawlers.
Product, organisation and breadcrumb schemas are available out of the box. That makes product information explicitly understandable to machines — exactly what LLMs need.
Shopify enforces a consistent data structure. Every product has the same fields, in the same way. Not 47 plugins each with their own interpretation of "product information".
The Storefront API allows external AI agents to communicate with your shop directly. Real-time stock, prices and product details — available to the AIs advising your customers.
Strikingly, the often-forgotten pages are becoming strategically important:
Trust shouldn't only be felt — it has to be readable.
LLMs are already here, and they're already influencing buying decisions. Those who invest today in explicit, semantically strong content are building visibility in the AI era and better conversion at the same time.
Those who wait risk no longer being part of the buying advice at all.
"In a world where AI becomes the advisor, being invisible is the same as not existing."
– Ton Wesseling, Twinkle Magazine
If your current platform has built up technical debt — messy code, inconsistent data, outdated structure — that's not just an operational problem. It's a visibility problem in the AI era.
A migration to a modern platform like Shopify Plus isn't a cost. It's an investment in:
Curious how AI-ready your store is? And what it takes to be ready for the LLM era?
Request a free migration scan →
We analyse your current platform on technical health, data structure and AI readiness. Including concrete recommendations — whether you migrate or not.
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