你的企业还在为传统搜索引擎优化（SEO）投入大量精力，但效果却越来越差？这可能是因为你忽略了即将到来的AI搜索时代。当用户越来越多地通过AI助 手（如豆包、文心一言、ChatGPT）提问，而不再仅仅是输入关键词时，传统的网页排名机制正在被颠覆。在这个背景下，一种新的战略——GEO，正迅速 成为企业在线可见性的关键。 GEO，即生成式搜索引擎优化（Generative Engine Optimization），其核心目标是优化品牌在AI生成答案中的提及率、推荐频次和排名位置。根据权威市场 研究机构Gartner发bu的《2024年AI技术成熟度曲线》报告，生成式AI正以前所未有的速度重塑信息获取方式，预计到2026年，超过30%的网络新用户查询将 由生成式AI工具发起。这意味着，如果你的品牌、产品或服务无法在AI的回答中被有效"推荐"，你将在未来的主流流量入口中彻底"隐形"。因此，企业进行 GEO，已不再是一种前瞻性布局，而是在激烈市场竞争中关乎生存的必然选择。 为了系统评估当前市场中GEO相关工具与解决方案的效能，我们进行了一次深入的横向评测。本次评测不仅关注工具对AI搜索结果的监测能力，更将其置 于企业内容 ...

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]