There’s a new study showing that AI-powered search engines often cite lesser-known websites more frequently than traditional ones like Google. Researchers from Ruhr University Bochum and the Max Planck Institute for Software Systems detailed the findings in their paper titled “Characterizing Web Search in the Age of Generative AI.”
The team compared Google’s standard search results with responses from Google’s AI Overviews, Gemini 2.5 Flash, and two variants of GPT-4o’s web search mode. The analysis revealed that AI systems often draw from websites that rank far lower in popularity. In many cases, these sources do not appear in Google’s top 100 results for the same query.
The researchers used a range of test queries, including real user questions from ChatGPT conversations, political topics from AllSides, and Amazon’s most-searched products. According to Tranco, a domain-ranking tool, the sources AI engines used ranked significantly lower than those in Google’s top results. Gemini’s results had a median domain rank beyond the top 1,000.
Over half of the sources cited by Google’s AI Overviews were absent from the top 10 traditional results. About 40 percent did not appear in the top 100 at all. However, this shift toward obscure websites did not appear to harm the quality of information. GPT-based models frequently cited corporate sites and encyclopedic content while avoiding social media.
The study found that AI-generated search results contained about the same range of identifiable “concepts” as traditional search, suggesting that AI systems maintain a comparable level of information diversity. However, because these models summarize information rather than listing individual sources, they often compress large amounts of data into shorter responses. This compression can lead to the loss of smaller or more ambiguous details that might still appear in traditional search results.
Researchers also noted that AI-powered search tools struggle with time-sensitive or rapidly changing topics. GPT-4o’s hybrid mode, for instance, sometimes failed to provide the most up-to-date information when responding to queries about recent events or trending subjects.
The future of search isn’t about better or worse. It’s about difference. And if this study is right, AI may be building a web that values synthesis over popularity, and that’s rewriting the rules of online authority.
In related AI news, Google has introduced Vibe Coding in AI Studio, a new feature that lets developers create fully functional AI apps from a single prompt. Meanwhile, ByteDance has launched Seed3D 1.0, a tool capable of instantly converting any 2D photo into a realistic 3D model.
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