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 [1][2]. Group 1: Generative AI and Advertising - Some AI search results are embedded with advertisements, misleading users into thinking they are receiving unbiased recommendations [2][3]. - The emergence of Generative Engine Optimization (GEO) is a new industry where advertising agencies manipulate AI search results by embedding paid content without clear labeling [3][4]. Group 2: Mechanisms of GEO - GEO is described as an upgraded version of Search Engine Optimization (SEO), where advertisers can pay to have their content appear in AI search results without being marked as advertisements [3][4]. - Agencies utilize a strategy of flooding the internet with "soft articles" to increase the likelihood of their content being captured by AI models, effectively creating a form of data pollution [5][4]. Group 3: Misleading Content and Practices - Some advertisers create fake reports and employ fictitious experts to influence search results, undermining the credibility of AI-generated information [7][8]. - Tools claiming to facilitate GEO are being sold on second-hand platforms, allowing users to generate and distribute promotional content easily [8][10]. Group 4: Regulatory and Industry Response - The need for clearer distinctions between AI-generated content and advertisements is emphasized, with recommendations for labeling paid content to prevent consumer confusion [11][12]. - Experts suggest that content distribution platforms should leverage AI to identify and eliminate false information, creating a blacklist of entities that produce misleading content [12][13].
小心!你问的AI,可能在悄悄给你推广告
Xin Hua She·2026-01-17 01:32