花3800元让大模型100%推荐，AI问答成商家“提线木偶”

Core Insights - The article discusses the shift in user behavior from traditional search engines to AI-driven models for information retrieval, highlighting the emergence of GEO (Generative Search Engine Optimization) as a new marketing strategy for businesses [1][14] - It raises concerns about the reliability and authenticity of AI-generated recommendations, as businesses may manipulate AI models to enhance their visibility and influence consumer choices [1][12] Group 1: AI Model Recommendations - Businesses are increasingly leveraging AI models like DeepSeek to enhance their marketing strategies, with AI recommendations becoming a new flow of traffic [1][2] - The effectiveness of AI recommendations is questioned, as some businesses have been found to appear in rankings despite not being relevant to the queried location [11][12] - The lack of filtering and verification in AI content generation allows businesses to exploit AI models, leading to potential misinformation [13][19] Group 2: Market Trends and Growth - The global user base for AI search is projected to grow from 310 million in January 2024 to 1.98 billion by February 2025, marking a growth rate of 538.7% [14] - The domestic GEO market is estimated to be around 2.1 billion yuan this year, with projections of reaching 24.2 billion yuan by 2027, indicating significant market potential [14] Group 3: GEO Service Providers - Many SEO service providers are transitioning to GEO, offering services that guarantee AI recommendations for a fee, with costs structured around performance metrics [15][16] - Some GEO service providers impose requirements on clients, such as minimum follower counts and content quality scores, to ensure effective collaboration [16] Group 4: Challenges and Concerns - The proliferation of low-quality information in the GEO space raises concerns about the integrity of AI-generated content, potentially leading to a decline in user trust [17][20] - The article highlights the risk of businesses using unethical practices to manipulate AI rankings, which could result in a compromised information ecosystem [19][20] - Recommendations are made for AI companies to implement stricter content verification processes and establish third-party oversight to enhance the credibility of AI-generated information [20]