Core Viewpoint - The article highlights the ongoing exploitation of GEO (Generative Engine Optimization) technology in the e-commerce sector, despite recent exposure of its misuse and potential risks. The market has seen a surge in GEO-related stocks, with companies aggressively promoting their association with GEO while some attempt to distance themselves from it [1][3][10]. Group 1: Stock Performance and Market Reaction - Several companies, referred to as "New Yizhongtian," including Tianlong Group, Yidian Tianxia, and Zhongwen Online, have experienced significant stock price increases, with Tianlong Group leading at a 41.42% rise [4][5]. - As of March 16, 2026, stock price changes include: Tianlong Group from 8.57 to 12.12 (41.42%), Yidian Tianxia from 40.50 to 48.01 (18.54%), and Zhongwen Online from 25.12 to 27.65 (10.07%) [5][6]. - The market's enthusiasm for GEO concepts has led to a notable increase in stock prices, making these companies some of the most attractive in the A-share market this year [6][7]. Group 2: Company Strategies and Responses - While some companies like Tianlong Group and Yidian Tianxia have publicly distanced themselves from GEO, others like BlueFocus and Liou Co. are actively embracing the GEO label and investing in related technologies [10][14]. - BlueFocus announced a strategic investment in PureblueAI, emphasizing its commitment to the GEO market, while Liou Co. launched its "ARO Intelligent Response Optimization" platform [14][15]. - Companies are experiencing a shift in their core business narratives, with Liou Co. transitioning from traditional manufacturing to digital marketing, showcasing a significant turnaround in financial performance [9][10]. Group 3: GEO Optimization Services - Despite the negative publicity surrounding GEO technology, numerous e-commerce platforms continue to offer GEO optimization services, with pricing tiers ranging from 298 yuan for basic access to 6,800 yuan for full-service management [16][24]. - These services promise to enhance brand visibility in AI-generated search results, effectively allowing brands to "plant" their information in high-frequency queries [25][28]. - The article suggests that these practices may mislead consumers, as AI-generated responses could be influenced by paid content, undermining the integrity of AI as a neutral tool [30][35].