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Core Viewpoint - The rise of generative AI search tools has shifted consumer behavior from traditional searches to asking AI for recommendations, but this has led to concerns about the objectivity of AI-generated results due to the infiltration of advertising content [2][3]. Group 1: Emergence of Generative Engine Optimization (GEO) - Generative Engine Optimization (GEO) is an upgraded version of Search Engine Optimization (SEO), where advertisers can pay to have their content appear in AI search results without clear labeling as advertisements [3][4]. - Advertising agencies are leveraging GEO by flooding AI models with "soft articles" to increase the likelihood of their brands being captured in search results [4][5]. Group 2: Manipulation of AI Search Results - Some advertisers are using tactics such as creating fake reports and employing "fake experts" to manipulate AI search results, leading to the dissemination of misleading information [6][7]. - A test conducted by a tech self-media outlet demonstrated how easily AI can be tricked into presenting low-quality, repetitive content as credible information [6]. Group 3: Market for GEO Tools - Various sellers on e-commerce platforms are offering tools that claim to facilitate generative engine optimization, with prices ranging from tens to hundreds of yuan for annual usage rights [8]. - These tools primarily focus on generating and distributing soft articles to enhance visibility in AI searches [8]. Group 4: Regulatory Recommendations - Experts suggest that clear distinctions between AI-generated content and advertisements are crucial, advocating for regulations that require the labeling of ads in AI search results to prevent consumer confusion [9][10]. - The Chinese government has initiated measures to manage generative AI services, emphasizing the need for transparency and accuracy in generated content [10][11].