Core Viewpoint - The article highlights the increasing infiltration of advertisements in AI-generated responses, raising concerns about the reliability of information provided by AI tools [1][7]. Group 1: AI Tools and Advertising - A recent evaluation of ten mainstream AI search/chat tools revealed a tendency to recommend specific brands repeatedly, often citing the same sources, including commercial ranking websites [1][2]. - The phenomenon is linked to the emerging GEO (Generative Engine Optimization) industry, which optimizes brand content for AI models, allowing advertisements to be disguised as authoritative information [1][3]. Group 2: Source Quality and Reliability - The evaluation found that many AI responses relied on low-quality sources, with some links leading to unrelated content or commercial sites, undermining the credibility of the recommendations [4][6]. - Certain lesser-known brands appeared frequently across different AI responses, suggesting a systematic inclusion rather than random occurrence, as multiple AIs referenced the same ranking website [3][4]. Group 3: User Trust and Response - The blending of advertisements with AI responses poses a risk to user trust, as the "zero-click" nature of AI search makes it difficult for users to discern between genuine information and ads [7][8]. - Experts suggest that users should cross-verify information by querying multiple platforms and remain cautious of overly uniform language and suspicious links in AI responses [7][8]. Group 4: Industry Challenges - AI platforms face the challenge of addressing advertisement infiltration, with recommendations for implementing mechanisms to identify and filter out ads during the search and response process [8].

Core Viewpoint - The article highlights the increasing infiltration of advertisements in AI-generated responses, raising concerns about the reliability of information provided by AI tools [1][6][7]. Group 1: AI Tools and Advertising - A recent evaluation of ten mainstream AI search/chat tools revealed a tendency for AI responses to include advertisements, with multiple AIs repeatedly recommending the same brands and citing similar sources [1][2]. - The phenomenon is linked to the rise of GEO (Generative Engine Optimization), which optimizes brand content for AI models, allowing advertisements to be presented as authoritative information [1][2][5]. Group 2: Source Quality and Reliability - The evaluation found that many AI tools cited low-quality sources, with some links leading to unrelated content or commercial sites, raising questions about the credibility of the information [3][5]. - Some AI responses included links to websites that frequently updated their content to appear current, despite having low engagement metrics [5]. Group 3: User Trust and Response Mechanisms - The integration of advertisements into AI responses blurs the line between information and marketing, potentially influencing consumer decisions without their awareness [6][7]. - Experts suggest that AI platforms need to implement mechanisms to identify and filter out advertisements to maintain trust and credibility in AI-generated content [7].