推荐变“推销”，AI的回答还值得信任吗？

Core Viewpoint - The rise of Generative Engine Optimization (GEO) is changing how brands market themselves, as businesses adapt to the increasing reliance on AI for information retrieval, leading to potential biases in AI-generated recommendations [3][5][9]. Group 1: Understanding GEO - GEO is a new marketing strategy that involves creating content tailored to be favored by AI, thereby increasing the likelihood of brand recommendations in AI responses [3][5]. - Businesses are showing significant interest in GEO services, with many inquiring about implementation and effectiveness [6]. - Research indicates that content with unique statistics, authoritative opinions, and high-density professional terminology is more likely to be recognized as credible by AI [6][7]. Group 2: Challenges and Concerns - The trust users place in AI responses may decline as awareness of potential commercial influences grows, leading to skepticism about the objectivity of AI-generated information [8]. - The covert nature of GEO processes makes it difficult for users to discern whether the information they receive has been optimized for commercial purposes [8][9]. - In sensitive sectors like healthcare and finance, the potential for misinformation due to commercial influences in AI responses is particularly concerning [9]. Group 3: Governance and Regulation - The governance of GEO requires a multi-faceted approach, involving clear responsibilities across various stakeholders as outlined in existing laws [11]. - AI platforms have obligations to filter out false or infringing content, label AI-generated content, and cooperate with regulatory investigations [13]. - Consumers misled by AI recommendations may seek compensation from brands, GEO service providers, or AI platforms, depending on the nature of the misleading information [14].