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搜索排名已过时,下一个流量入口战争:让AI“记得”你
Di Yi Cai Jing· 2025-09-17 14:30
AI推荐正在形成一门叫做GEO的新生意。 你试过让AI推荐产品吗?看似客观中立的AI回答,背后实际有很多门道。 "请帮我推荐一款适合游泳时戴的耳机。"当第一财经记者向DeepSeek提出这个问题时,AI很快给出了回 答,提及"已阅读8个网页"。很少有人会进一步点开链接,但如果深入探究,用户会发现这些链接大多 指向搜狐、网易、新浪这样的门户网站,而具体的创作者可能是0赞0粉丝的新账号。 以DeepSeek这样的AI聊天机器人为中心,背后正在形成一门叫做GEO(生成引擎优化)的新生意。在 AI搜索时代,品牌营销或许不再拼搜索排名,而是拼"AI记不记得你"。 很多从业者已关注到这一趋势,都很焦虑,怕错过商业机会。但目前花钱投入的,仍是大品牌,以及投 资回报周期更短的金融、软件行业等。 需求已吸引了更多创业者和资本加入。就在8月,知名风投红杉资本领投了GEO公司Profound,对其估 值超过1亿美元。在国内,豆包大模型前市场负责人创立的GEO公司PureblueAI清蓝,刚刚完成了首轮 融资。 AI成为新的流量入口后,围绕于此的变革也在慢慢发生,行业认为GEO或许正在爆发前夜,不过,大 模型格局未定,这个生意也可能 ...
从 AI 创业角度看 GEO:如何引流、效果评估,以及创业机会在哪里?
Founder Park· 2025-08-10 01:33
Core Insights - GEO (Generative Engine Optimization) is not a completely new concept but rather an evolution of SEO in the era of AI search and LLMs [2][4] - There is ongoing debate about the potential of GEO as a significant business opportunity, with some viewing it as a new frontier while others see it as merely an extension of SEO [4][5] - The article emphasizes the importance of understanding GEO's principles, strategies for content optimization, and monitoring effectiveness [5] Group 1: Understanding GEO - GEO is fundamentally about optimizing content for AI retrieval and summarization, focusing on making content easily accessible and understandable for AI systems [10][30] - The shift from traditional SEO to GEO involves changes in how content is ranked and made visible, with LLMs generating structured responses that complicate traditional ranking methods [9][14] - Effective GEO strategies include content optimization, evaluation metrics, and conducting commercial GEO experiments [9][10] Group 2: Content Optimization Strategies - RAG (Retrieval-Augmented Generation) workflows are essential for GEO, emphasizing the need for clear structure and readability in content [19][20] - Content should be designed to be easily retrievable and quotable, with a focus on clarity and reducing ambiguity in expression [21][22] - Strategies for enhancing content visibility include using specific terminology, avoiding vague references, and employing structured data formats like Schema.org [27][28] Group 3: Agent Optimization Strategies - AEO (Agentic Engine Optimization) is a subset of GEO, focusing on optimizing content for agent-based interactions [30] - Content should be task-oriented and contextually rich to facilitate agent understanding and action [31][32] - Clear definitions and user-friendly documentation are crucial for enhancing agent interactions and ensuring effective task completion [33][34] Group 4: Practical Implementation of GEO - A closed-loop process of content creation, exposure, retention, and optimization is vital for successful GEO [36] - Establishing authority signals (E-E-A-T) is important for building trust with AI systems, which prefer credible and expert sources [37] - Continuous content updates and engagement with external authoritative sources can enhance visibility and credibility in AI-driven environments [38][39] Group 5: Measuring GEO Effectiveness - Evaluating the visibility and citation of content across AI search platforms is essential for understanding its impact [39][40] - Various methods, such as SERP detection and AI citation monitoring, can be employed to assess content performance [40][41] - Analyzing user behavior and conversion rates from AI-driven traffic can provide insights into the effectiveness of GEO strategies [44][46] Group 6: GEO Tools and Companies - Several tools and companies are emerging in the GEO space, focusing on enhancing visibility and citation in AI search environments [49][50] - Platforms like Profound and Goodie AI are designed to optimize content for AI retrieval and improve brand exposure [56][57] - The competitive landscape for GEO tools is evolving, with a focus on integrating AI capabilities into traditional SEO practices [66][68]