In short: ChatGPT's shopping research feature now researches, compares, and recommends products for shoppers before they visit any website — and AI-referred shoppers convert up to 50% higher than organic search visitors. Brands in Singapore and Malaysia that haven't structured their product content to be readable by AI are effectively invisible at the exact moment customers decide what to buy.

For most of the past two decades, the retail playbook was built around one metric: traffic. Get more visitors to the site, then optimise the funnel from there. That assumption is starting to break down, and the clearest sign of it is a feature most Singapore and Malaysia brands haven't looked at yet — shopping research in ChatGPT.

Instead of a user searching, clicking through ten tabs, and comparing manually, they now describe what they want — "a quiet cordless vacuum for a small apartment," "help me choose between these three strollers" — and ChatGPT researches across the internet, asks clarifying questions, and returns a personalised buyer's guide. The comparison shopping used to happen on your site. Increasingly, it happens before your site is ever opened.

What's Actually Changed

Shopping research pulls live pricing, availability, specs, and reviews from retail sites, then synthesises them into a guide built around the shopper's specific constraints — budget, use case, who it's for. It performs especially well in detail-heavy categories: electronics, beauty, home and kitchen, sports and outdoor. Users can click through to buy on the retailer's site directly from the guide.

The effect on how people research products has been fast. ChatGPT's share as a product research tool has climbed from 2% to 30% in two years, and it has already displaced Amazon from second to third place in product research behind Google. Nearly half of eCommerce shoppers — 47% — now say they used AI somewhere in their most recent purchase.

The Numbers Brands Can't Ignore

The data on what happens after someone arrives via AI is the part that should get attention. Shopify found that AI-referred shoppers convert at nearly 50% higher rates than organic search visitors, outperforming organic search in 23 of 25 merchant categories, and AI-referred orders carry 14% higher average order values. Adobe Analytics found AI-referred traffic to retail sites grew 393% year over year in Q1 2026. Even more telling is the conversion swing: this same traffic was converting 38% worse than other channels a year prior, and by March 2026 had flipped to outperforming them by 42%.

Shopify calls this "journey compression": the browsing and comparing that used to happen across a website now happens inside the AI conversation, before a single link is clicked. More than half of AI-referred sessions land directly on a product page, compared to around 20% for organic search. Visitors who arrive this way spend 48% more time on page and browse 13% more pages — they arrive pre-qualified, but they still want confirmation once they land.

Why This Matters for Brands in Singapore and Malaysia

This data is coming out of larger markets first, but there's no reason to assume the region is exempt — Singapore already has one of the highest AI adoption rates globally, and we've covered in earlier posts how fast AI search usage is growing across Southeast Asia. The brands that will feel this shift first are the ones in detail-heavy, comparison-driven categories: electronics, beauty, home goods, appliances — categories where SG/MY SMEs compete heavily on marketplaces and their own sites.

The uncomfortable finding from Adobe's research: roughly a quarter of retailer homepage content still isn't structured in a way AI systems can read and cite. That means a meaningful share of brands are simply invisible in the exact moment a customer is deciding what to buy — not because their product is wrong, but because their content was never built to be read by an AI doing the comparing on the customer's behalf.

What To Do About It

Getting into these results isn't about buying placement — shopping research pulls from organic, publicly available content, the same way GEO does. That means the fundamentals we've covered before are exactly what applies here:

Structure product content the way you'd want an AI to summarise it. Clear specs, pricing, and comparisons in the actual page content — not buried in images or PDFs.

Keep product data current. Price and availability mistakes get caught by shopping research and can quietly disqualify you from a comparison.

Build genuine comparison content. If you sell into a category where people compare options, publish the comparison yourself — features, pricing, trade-offs — with the same clarity you'd want ChatGPT to reproduce.

Check your own visibility. Ask ChatGPT to research a product in your category the way a real customer would, and see whether you show up. If you want a structured score instead of a manual check, run your site through the YEA AI Site Audit — it's free and covers exactly this layer.

Conclusion

The retail funnel isn't disappearing, but a growing share of it is moving somewhere brands can't see with their usual analytics — inside an AI conversation, before a click ever happens. The brands treating this as a 2027 problem are the ones most likely to discover, a year from now, that ChatGPT has already been recommending their competitor. If you want help making sure your products are the ones showing up in that guide, YEA Business works with brands across Singapore and Malaysia on exactly this.