Artificial intelligence is quickly becoming a new product discovery channel. More consumers are asking tools like ChatGPT for buying advice instead of browsing comparison sites or search results themselves.
A recent study analysing more than 43,000 products shown in ChatGPT recommendation carousels revealed a clear pattern. Around 83 per cent of the products recommended by ChatGPT also appear in Google Shopping results, while very few come exclusively from Bing.
For e-commerce brands, the takeaway is straightforward. Visibility in Google Shopping is now influencing whether products appear inside AI recommendations.
This does not mean AI has replaced search marketing. In reality, it means the fundamentals of e-commerce visibility, such as product feeds and shopping optimisation, are becoming even more important.
ChatGPT appears to source products from Google Shopping
The study suggests that ChatGPT retrieves product recommendations through a separate shopping retrieval process. Instead of analysing articles or blog posts to choose products, the system appears to pull candidate products from shopping indexes.
Researchers found that most products appearing in ChatGPT carousels were also present within the top 40 organic Google Shopping results for the same query.
Even more telling was the influence of ranking position. Products appearing higher in Google Shopping results were far more likely to appear in ChatGPT’s carousel. Around 60 percent of matched products were found in the top 10 Google Shopping results, and nearly 84 percent came from the top 20.
For e-commerce brands, this means Google Shopping visibility may now affect not only search traffic but also AI-generated product recommendations.
Optimise your Google Shopping feed as a core marketing asset
If AI systems are drawing heavily from Google Shopping, then the product feed itself becomes a critical ranking signal.
Many e-commerce brands treat product feeds as a technical task handled once during setup. In reality, they should be actively optimised in the same way as search content.
There are several practical tactics that can improve feed performance.
Write highly descriptive product titles
Product titles play a major role in how Google categorises and surfaces products. Instead of using short or vague titles, include key information that shoppers would search for.
Effective titles often include the brand name, product type, model, key feature and variant where relevant. For example, a generic title such as “Running Shoes” is far less useful than “Nike Air Zoom Pegasus 40 Men’s Running Shoes”.
Ensure every product attribute is completed
Google Shopping relies heavily on structured attributes to understand products. Missing attributes can reduce visibility or lead to incorrect categorisation.
Important attributes to complete include brand, product type, material, colour, size, gender, condition and GTIN or manufacturer identifiers. The more complete the feed is, the easier it is for Google to match products with relevant queries.
Use Google product categories accurately
Google allows retailers to assign categories from a predefined taxonomy. Selecting the most precise category helps Google understand where the product belongs in shopping results.
Many brands either leave this field blank or choose broad categories. Using highly specific categories improves relevance signals and can help products appear for more targeted queries.
Improve product imagery
Images are a key factor in product engagement and performance. Google prefers clear, high-resolution images with simple backgrounds that show the product clearly.
Avoid cluttered images, overlays, watermarks or heavy text. Strong product photography increases click-through rates and can improve ranking performance in shopping results.
Keep pricing and availability accurate
Google favours products with consistent and reliable data. If the product feed frequently shows incorrect pricing or items marked as available when they are not, this can affect performance.
Regularly updating feeds ensures that stock levels, promotions and price changes are reflected accurately.
Add detailed product descriptions
While titles and attributes are critical, descriptions also help Google understand the product context. Clear descriptions that mention features, benefits and specifications can improve how products match to search queries.
Avoid duplicate manufacturer descriptions where possible. Unique descriptions help products stand out.
Improve Google Shopping visibility, not just SEO
Many marketing teams still separate SEO and product feed optimisation into different silos. However, this research suggests that shopping rankings may influence visibility across both search engines and AI assistants.
That means ecommerce brands should treat Google Shopping optimisation as a core growth channel rather than a secondary task.
Improving feed quality, ensuring accurate product data and strengthening product listings can increase the chances of ranking higher in Google Shopping results.
And increasingly, those same rankings may determine whether your products appear inside AI tools like ChatGPT.
AI product discovery still depends on search infrastructure
One of the most interesting insights from the research is that AI tools are not operating in isolation. Instead, they appear to be building on existing search ecosystems.
Rather than replacing search engines, AI platforms are currently layering intelligence on top of traditional product indexes.
For e-commerce marketers, that means the foundations of product visibility remain familiar. The brands that manage their product feeds well, optimise their shopping listings and maintain strong product data will be the ones most likely to benefit as AI-powered product discovery continues to grow.