What happened
A recent study into Google's search engine behavior has uncovered a significant discrepancy between results generated by artificial intelligence (AI Overviews) and the traditional Google Shopping product carousel. The data suggests that in many instances, when a user searches for a specific item, the AI section and the Shopping section do not present the same information. Specifically, the AI mode frequently lists different merchants or prices that do not match the offers promoted in the standard carousel, creating a fragmented experience for consumers.
Technology context
Google utilizes two distinct systems to display products. Google Shopping primarily relies on the Merchant Center, where sellers upload their data feeds and often pay for visibility through sponsored ads. Conversely, AI Overviews (formerly SGE - Search Generative Experience) uses Large Language Models (LLMs) to synthesize information from across the entire web. The AI "reads" web pages, reviews, and "best of" articles, extracting prices that may come from structured data or directly from page text, which are not always updated in real-time like Shopping feeds.
Why it matters
This situation has major implications for both users and digital marketing professionals. For users, the confusion can lead to a loss of trust in search results if they see two different prices on the same page. For brands, it means that optimizing solely for Google Merchant Center is no longer enough. If the AI chooses to ignore the official feed in favor of a mention from a review blog, retailers could lose valuable conversions to competitors who are better "perceived" by the generative algorithm.
Key terms explained
- AI Overviews: A Google feature that uses generative AI to provide a quick, synthesized response to user queries.
- Google Merchant Center: A platform that allows online store owners to upload product data to be displayed in Google Shopping.
- Data Feed: A file containing a list of products and their attributes (price, availability, image) sent to search engines.
Impact
In the short term, we can expect a period of instability in click-through rates (CTR) for Shopping campaigns. In the medium term, Google will likely need to better synchronize its AI models with the Merchant Center database to ensure price accuracy. Retailers will be forced to invest more in traditional SEO and digital PR to ensure their correct price is picked up by the AI from third-party sources (articles, reviews), not just from advertisements.
What's next
The future of commercial search will be marked by a deeper integration of Google's "Shopping Graph" into the AI core. It is probable that Google will introduce new verification labels to confirm that the price displayed by the AI is the current one. Furthermore, we can expect a convergence of SEO and PPC strategies, where visibility within AI results will become as highly contested as keywords in Google Ads are today.
Educational analysis generated with AI and editorially reviewed.