Rob Knight, managing director of Kitty, explores how e-commerce can stop being a catalogue, and start being a conversation
For years, the e-commerce experience has been defined by the endless browsing and scrolling. Whether you are hunting for a specific pair of trainers or searching for a vague birthday gift, the process is the same: enter a keyword, filter by price or size, and mindlessly flick past rows of images.
But we are currently witnessing the first real attempt at a traditional storefront model. With Shopify’s recent announcement of a deep integration with OpenAI, we aren’t just looking at another “plugin”; this could be where e-commerce finally stops being a catalogue and starts being a conversation.
The technical bridge here is simpler than many realise, yet its implications are pretty big. If you run a Shopify store, you can generate a product feed – essentially a live URL that provides every detail of your inventory. When structured correctly, this feed can be plugged directly into OpenAI’s ecosystem.
This allows ChatGPT to ingest not just the headlines and prices, but the granular data that often may not even be displayed in a traditional UI: weights, specific dimensions and technical specifications.
Traditionally, this data existed for Google’s crawlers. Now, it exists for a generative brain. This shift takes us from Search to Ingestion. Once an AI understands the totality of your warehouse, the way a customer interacts with that warehouse changes forever.
From Keywords to Context
The real magic happens when we move away from the rigid constraints of a search bar. Imagine a consumer during the holiday rush. Today, they might search “warm gloves” and “waterproof boots.” It’s manual, it’s tedious, and it lacks inspiration.
Fast forward to the very near future – perhaps as early as this coming Christmas. Instead of scouring hundreds of websites or fighting the Amazon algorithm, a user might spend ten minutes talking to ChatGPT about their friends and family.
“My brother lives in Edinburgh, he walks to work, he hates the colour yellow, and he’s constantly losing his keys. What should I get him from (enter shop name)?”
Because the AI has read your Shopify feed, it can cross-reference the brother’s lifestyle with your inventory’s specific attributes. It can suggest a charcoal grey, weatherproof commuter bag with an integrated key clip – not because the user searched for a bag, but because the AI understood the problem and found the product that solved it.
We are moving into an era of in-platform buying where the decision-making happens within the LLM, powered by the live data of the merchant.
Alongside our sister agency, ROAST, we are currently developing tools that help merchants bridge this gap – helping them structure their Shopify feeds so they are OpenAI-ready and solves the friction of AI integration. This tool works to ensure the effective marriage of technical SEO, data structuring, and UX design.
It might feel quite early to be talking about the next peak season. However, the infrastructure for the AI-first shopper needs to be laid today.
We don’t yet know exactly how dominant AI-driven shopping will be by December 2026, but we do know that the brands who have their data ingestion-ready will be the only ones appearing in the LLM’s recommendations. If your product feed isn’t structured for OpenAI, you are essentially invisible to the most powerful recommendation engine ever built.
The New Digital Storefront
This isn’t just a win for the big players. In fact, this technology levels the playing field. A boutique Shopify brand with a perfectly structured feed can now be recommended by an AI with the same authority as a retail giant.
The future of e-commerce isn’t about who has the biggest marketing budget to buy the top spot on a search results page. Companies who have the most accessible data can win the conversation, and make users feel understood. It’s time we started building the feeds that make that possible.
As seen in Little Black Book – LBB Online.
