AI搜索“净土”正在悄悄沦陷

Core Viewpoint - The integration of advertising into AI search responses is increasingly prevalent, leading to concerns about user trust and the purity of information provided by AI systems [2][7][9]. Group 1: How Advertising Enters AI Search - Advertisers are subtly infiltrating AI search data sources, utilizing techniques like GEO (Generative Engine Optimization) to ensure their brands appear prominently in AI-generated answers [3][4]. - The process involves creating content filled with brand keywords and placing it on high-authority platforms, which AI systems then passively incorporate into their responses [3][6]. - Some advertisements are cleverly disguised as "recommended" or "selected" content, misleading users into believing they are receiving objective recommendations from AI [4][5]. Group 2: Impact on Users and AI Ecosystem - Users are increasingly finding themselves in an "advertising maze," where their quest for accurate information is interrupted by promotional content [9][10]. - The AI ecosystem faces significant challenges, as the commercialization of search results may lead to a return to traditional search engine practices, where the highest bidder receives the most visibility [10][11]. - The presence of misleading information can degrade the quality of AI responses, as even a small amount of false data can significantly impact the model's accuracy [11]. Group 3: Solutions for Balancing Commercial Interests and User Trust - Implementing clear labeling for advertisements within AI responses can help users distinguish between genuine information and promotional content [14][18]. - Establishing regulations that limit the proportion of advertising in AI responses and making the algorithms behind recommendations transparent can mitigate the issue [16][18]. - Regulatory measures, such as requiring significant labeling of AI-generated advertisements and tracking the advertising process through technology like blockchain, can enhance accountability [17][18].