Google's AI Overviews are increasingly sourcing information from user-generated content on platforms like Reddit and Quora. While this approach aims to provide real human experiences, it often results in inaccurate or misleading information surfacing. Complaints and negative opinions tend to dominate, especially since threads asking if a brand is problematic can become highly popular. This can distort perceptions, as minority views get amplified and presented as fact. Furthermore, outdated threads without timestamps can resurface, perpetuating misinformation. The implications for brands are significant. Online Reputation Management (ORM) professionals have noted troubling patterns, such as an overwhelming focus on negative feedback and a lack of balance in pros and cons summaries. The AI's reliance on these platforms creates feedback loops, where one negative thread can lead to multiple citations in AI Overviews, reinforcing a biased narrative. Many users now take these AI-generated summaries as truth without questioning the sources, which poses a risk to businesses. False claims and incomplete narratives can harm a company's reputation, as potential customers accept them as fact without further investigation. To combat this issue, brands need strategies in place to monitor and respond to AI-driven content. Collaboration with ORM teams can help identify negative threads and develop a proactive approach to reputation management. Understanding how Google AI Overviews function is crucial for businesses to protect their image in an era where information spreads rapidly and often without verification.