A Productrise study reveals Google AI Mode suggests more expensive products and different sellers than traditional search, sparking concerns over AI pricing.

The transition from a keyword-based search engine to an AI-driven answer engine is fundamentally altering how consumers discover products. While the integration of AI into the search experience promises efficiency, new data suggests it may come with a hidden financial cost. A comprehensive study by Productrise has uncovered a significant pricing discrepancy between Google's traditional search results and its AI Mode, raising questions about how the tech giant prioritizes commercial offers.

The cost of AI-driven recommendations

The core finding of the research is stark: when the exact same product appears in both traditional search and AI Mode, the price displayed in AI Mode is, on average, 21.6% higher. This is not a case of different products being suggested, but the same item carrying a different price tag depending on the interface the user employs. When expanding the scope to all products listed in each mode, the gap widens further, with AI Mode listings sitting 49% higher than those found in traditional search.

The data indicates that price consistency is rare. Among matched products, a price discrepancy was found 38.1% of the time. In these instances, AI Mode displayed the more expensive option 68.4% of the time. This suggests that the AI's selection process does not prioritize the lowest price, a departure from the intuitive expectation that an AI assistant would find the best deal for the user.

A disconnect in the Shopping Graph

Google has responded to these findings by stating that both AI Mode and the standard search results page are powered by the same data source: the Shopping Graph. According to the company, shoppers can simply click into a listing to compare prices across various retailers. However, the Productrise data suggests that the way this graph is filtered or presented in AI Mode differs radically from the traditional Popular products carousel.

The overlap between the two systems is nearly non-existent. The study found that only 1.28% of products appearing in the traditional search carousel also appeared in AI Mode for the same search on the same day. This indicates that ranking well in the traditional shopping carousel provides almost no guarantee of visibility within the AI-generated responses.

Shifting sellers and visibility

Beyond the price tag, the identity of the merchant changes frequently. For the small fraction of products that appear in both result types, the first seller listed was different 49.6% of the time. This shift in vendor often coincides with the price increase, suggesting that AI Mode may be prioritizing different merchant criteria over raw cost.

The volume of options also shrinks significantly in the AI experience. While the traditional Popular products carousel displayed an average of 27.8 products per query, AI Mode presented a mere 3.9. This drastic reduction in choice concentrates the user's attention on a handful of recommendations, making the higher average price point more impactful since users are less likely to scroll through a long list of cheaper alternatives.

The products being recommended in AI Mode might not be giving price as much weighting as we would have expected.

Methodology behind the findings

The research was conducted between August 9 and August 31, 2026, monitoring over 2 million product listings across more than 100,000 search results and AI responses. The study focused specifically on product-focused queries in the US and UK markets, ensuring that the comparisons were made on the same day and at the same moment to eliminate temporal price fluctuations.

The team matched products using Google's unique product IDs, comparing the lead price and the primary seller. While the queries were focused on products monitored by the Productrise platform rather than a completely random sample of all global searches, the scale of the data provides a significant glimpse into the current behavior of Google's AI integration.

The risk of surveillance pricing

The discrepancy in pricing has sparked a broader conversation about surveillance pricing—the practice of using personal data to tailor prices to individual users in real time. While the Productrise study does not explicitly prove that Google is using personal data to discriminate on price, the results highlight a lack of transparency in how AI Mode arrives at its specific recommendations.

If AI Mode is prioritizing higher-priced items or specific sellers regardless of the lowest available price, it challenges the role of the search engine as a neutral tool for consumer empowerment. For entrepreneurs and e-commerce brands, this suggests that the old rules of SEO and Shopping carousel optimization are no longer sufficient to capture the AI-driven segment of the market.

Global implications for US and UK businesses

For enterprises operating in the US and UK, these findings signal a critical shift in digital acquisition strategies. The fact that traditional carousel rankings have a low correlation with AI Mode visibility means that brands relying solely on legacy Google Shopping strategies may find themselves invisible to a growing number of users who prefer AI-driven answers.

From a regulatory perspective, this data arrives as lawmakers in the US and UK continue to scrutinize the transparency of AI algorithms. While the EU's AI Act focuses heavily on risk categories and systemic transparency, US and UK regulators are increasingly concerned with consumer protection and fair competition. If AI interfaces are found to systematically steer consumers toward more expensive options or specific preferred vendors without clear disclosure, it could invite regulatory scrutiny regarding deceptive patterns or unfair commercial practices.

Businesses must now treat AI Mode as a separate channel with its own distinct logic. The priority is no longer just about being the cheapest or the most popular in a list, but understanding the specific signals that trigger an AI recommendation. As Google continues to replace the iconic search button with AI features, the ability to appear in those few, highly visible AI slots will become a primary driver of conversion, regardless of whether the AI prefers the budget option or the premium seller.

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Sources: Searchenginejournal, Productrise, Futurism ·