Why Product Feeds Are Quietly Powering the Future of AI Shopping

AI shopping is often described as a revolution in how people discover products online, but that only tells half the story. The real change is happening underneath the surface, in something far less visible but far more important: product feeds.

Instead of typing short keyword searches into Google, consumers are now asking AI assistants detailed, natural language questions, much like speaking to a shop assistant. For example:

• “What are the best waterproof walking trainers for coastal paths?”
• “What’s a good gift for someone who loves sea swimming?”
• “Where can I find dog friendly places to stay within walking distance of a pub?”

These are not traditional search queries. They are intent rich requests that rely on structured product and service data, not just web pages.

And this is where product feeds come in.

At HookedOnMedia, we’re keeping a close eye on the advancing space of AI product feeds, with OpenAI now testing a Google Shopping-style shortcut for ChatGPT ads in the US. 

 

What Are AI Shopping Feeds?

AI shopping feeds are structured, machine readable files that allow AI systems to understand exactly what you sell, and when to recommend it.

They typically include:

• Product titles and descriptions
• Images and videos
• Pricing and stock availability
• Colours, sizes and materials
• Ratings and reviews
• Delivery and fulfilment information
• Sustainability and brand specific attributes

The key point is that these systems are no longer relying purely on crawling websites. Increasingly, AI platforms use structured feeds and organised datasets to decide what products to surface in answers.

For UK businesses, this shift is important because while visibility still relies on strong traditional SEO, it is increasingly shaped by how clearly product data can be interpreted by AI systems. 

 

AI Ads vs AI Shopping Feeds

There is an important difference between AI advertising and AI shopping feeds.

AI Ads are paid placements inside AI generated answers.

AI Shopping Feeds are structured data sources that allow AI assistants to recommend products organically, even when no advertising budget is involved.

This distinction matters because many AI shopping experiences are currently free for merchants to join.

For example, OpenAI has been testing shopping integrations inside ChatGPT that allow merchants to submit product feeds directly. Product recommendations can appear naturally within conversations as visual product cards that include pricing, images and product details.

OpenAI has also stated there are currently no fees when purchases are completed through a merchant’s own website checkout flow. Merchant feeds are designed to work similarly to traditional Google Shopping feeds, helping businesses manage stock, pricing and visibility without rebuilding their systems.

 

Will AI product feeds head the same way as Google Shopping? 

There are clear similarities between today’s AI shopping feeds and the early days of Google Shopping.

When Google launched Froogle in 2002, merchants could upload product feeds for free. Over time, Google Shopping evolved into a largely paid advertising platform built around Product Listing Ads.

Many marketers believe AI shopping may follow a similar path. At the moment, there is significant free visibility available for businesses with strong product data. But as competition grows, paid placement opportunities are likely to expand.

That makes now an important time for businesses to prepare while organic visibility is still widely available.

 

What UK Businesses Can Do Right Now

Although some AI merchant programmes are currently limited to the United States, UK businesses can already influence how their products appear in AI-driven shopping results.

For example:

• Google Merchant Center helps structure and distribute product data that can feed both Google Shopping results and AI-powered surfaces like AI Overviews and Gemini
• Platforms like Shopify, Amazon and TikTok already use AI-driven ranking and recommendation systems to surface products in the UK
• Schema markup and structured product data continue to help AI systems interpret and surface products in response to UK shopping queries

This means UK brands should focus on:

• Improving feed quality
• Keeping inventory accurate
• Adding detailed product information
• Expanding FAQs and review content
• Optimising for conversational search queries

At HookedOnMedia, one thing we’re seeing consistently is that AI systems love detailed FAQs and authentic reviews when generating recommendations.

 

Helping Brands Stay Ahead Through Smarter Product Feed Optimisation

HookedOnMedia has been working with ecommerce brands on performance-led campaigns since Google Shopping began, focused on feed optimisation and return on ad spend strategies. 

As AI search evolves, those same principles around structured, high-quality product data are becoming essential again – just in a new environment.

AI shopping feeds are fast becoming a core layer of modern digital marketing, sitting between search, discovery and conversion.

Brands that get their product data structure right now will be significantly better positioned as AI-driven commerce becomes a default part of how people shop online.

To prepare your brand for AI shopping and the next phase of search evolution, speak to the team at HookedOnMedia today.