全线回调！开年最热赛道突然刹车

Core Viewpoint - The article discusses the recent downturn in the AI application sector, highlighting the volatility and potential future trends in the industry, particularly focusing on Generative Engine Optimization (GEO) and its implications for marketing and AI applications [2][12][22]. Group 1: Market Trends and Performance - The AI application sector experienced a significant drop, with companies like Visual China hitting a trading halt and others like Liou Co. and Yidian Tianxia facing scrutiny after rapid stock price increases [3][5]. - The recent listing of large model companies such as MiniMax and Zhipu has increased market enthusiasm, indicating a growing commercial viability for AI applications [7][8]. - The cost of AI operations has drastically decreased due to the large-scale deployment of domestically developed inference chips, prompting many large model companies to lower their prices [10][11]. Group 2: Generative Engine Optimization (GEO) - GEO, defined as Generative Engine Optimization, aims to enhance the visibility of brand content in AI-generated responses, potentially increasing citation rates by 40% [15][16]. - The global GEO market is projected to grow significantly, with estimates of $11.2 billion in 2025 and $100.7 billion by 2030, reflecting a compound annual growth rate (CAGR) of 55% [22]. - The marketing landscape is shifting as AI search engines begin to replace traditional search methods, with predictions that AI search will capture 50% of search engine traffic by 2028 [18][19]. Group 3: Company Performance and Future Outlook - BlueFocus, a marketing company, reported a revenue of 51.098 billion yuan in the first three quarters of 2025, with a notable 310% increase in AI-driven business revenue [26][27]. - Despite impressive growth, AI-driven revenue still represents less than 5% of BlueFocus's total revenue, indicating room for expansion [28]. - The article suggests that while GEO may transform marketing strategies, the fundamental competitive dynamics of the marketing industry remain focused on scale [34]. Group 4: Future of AI Applications - The article anticipates that 2026 will be a pivotal year for AI applications, driven by advancements in model capabilities and supportive policies from government bodies [36][38]. - AI applications are expected to proliferate across various sectors, including marketing, industrial, and financial services, enhancing efficiency and driving revenue growth [52]. - The emergence of AI-generated content, such as AI cartoons, is highlighted as a new trend, with significant market potential indicated by the rapid increase in AI-generated media [44][46].