AI Search Engines Fall Short: Study Reveals Alarming Inaccuracy Rates in AI Responses
March 11, 2025
The study advocates for viewing AI as a tool to enhance human capabilities rather than a replacement, emphasizing the importance of critical thinking and creativity.
A recent study by the Columbia Journalism Review has revealed significant inaccuracies in AI search engines and chatbots, with many providing incorrect answers and fabricating citations.
Among the tested AI tools, Grok-3 Search exhibited a staggering 94 percent inaccuracy rate, while Microsoft's Copilot showed around 70 percent inaccuracy, often declining to answer over half of the queries.
One major concern is that reliance on AI for information could impair the research and analytical skills of younger users, who may come to depend too heavily on technology for answers.
While Perplexity had the lowest error rate at 37%, it still answered a significant portion of queries incorrectly, underscoring the widespread issues faced by generative AI tools.
The study evaluated eight AI search engines, including ChatGPT, Perplexity, and Google Gemini, finding that over 60% of the queries resulted in incorrect answers.
Despite the current issues, some industry experts express optimism about future improvements in AI search technology, stressing the need for better standards and practices.
The findings raise serious concerns about the accuracy and trustworthiness of AI-driven information retrieval systems, particularly in the context of news content.
These results echo previous research indicating that AI assistants struggle with factual accuracy and sourcing, highlighting a troubling trend of confidently presenting inaccurate information.
As AI chatbots gain popularity, with nearly 25% of Americans using them instead of traditional search engines, their high error rates raise reliability concerns.
Interestingly, premium AI models were found to provide more confidently incorrect answers than their free counterparts, misleading users about the reliability of the information.
The study concluded that generative search tools misrepresent publishers' content, posing challenges for news organizations and limiting their control over how their work is accessed and cited.
Summary based on 9 sources
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Sources

Search Engine Land • Mar 11, 2025
AI search engines often make up citations and answers: Study
Digital Trends • Mar 11, 2025
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Social Media Today • Mar 11, 2025
Report Finds AI Tools Are Not Good at Citing Accurate Sources
TechSpot • Mar 11, 2025
New study finds that AI search tools are 60 percent inaccurate on average