随着ChatGPT等生成式AI工具的崛起，用户获取信息的入口正在发生颠覆性变革。一个全新的战场—生 成式引擎优化（GEO），已然成为所有希望在AI时代保持品牌竞争力的企业必须面对的核心议题。 【金句洞察】 1. 无论是SEO还是GEO，在新的时代，内容质量都是最重要的。 2. GEO并非孤立存在，它本质上是内容营销在新时代的一种新形态。 3. 你的内容回答问题越直接，AI就越喜欢。 4. 大模型天生就想节省算力，想"偷懒"。所以，你的内容越结构化，越像AI喜欢的格式，它处理起来就 越容易，被引用的概率就越高。 5. AI时代，营销越来越品牌化了。 6. GEO的效果更偏向于品牌层面，它最直接的反馈是在AI的回答中"露脸"，即提升品牌可见性。 《AI 透镜研究》系列，是一枚多层镀膜的认知镜头，对准飞速演化的人工智能现场：探究融资背后的 产品真实价值、追踪调研AI公司的组织创新变革、记录和放大人与AI的协作实践。从新的镜头看见 AI 细节与趋势，用系统性的观察和分析，穿透噪声，最终落到可见可用的洞察之面。 第一期AI透镜对准了AICoding的七个非共识。第二期针对快速崛起和变化的GEO，腾讯研究院余一和 两位一 ...

你有没有发现错，现在用户买东西越来越"懒"？因为AI可以开始自己花钱了！如果你现在对 AI 说"订周末旅行"，它能自己下单支付了。这不是想 象。谷歌刚刚拉上 Visa、PayPal、银联等 60 多家巨头，推出了 AI 代理支付协议 AP2 ——AI 终于有了"数字钱包"，标志着智能体不再只是工具， 而是能替你决策、花钱、办事的虚拟经济代理人。 当用户问AI"夏天油皮适合什么护肤品"时，如果你的品牌没有在AI的回答框架中占据一席之地，就算你的产品再好、天猫店评分再高，也会被直接 跳过。传统SEO优化的那些关键词排名，在AI生成式回答面前，正在变成无效流量。 从"种草"到"下单" AI正在接管消费全链路 以前逛淘宝要翻十几页评价，现在直接问AI"3000元内最值得买的扫地机器人"；过去查旅游攻略要刷几十篇小红书，如今一句"周末带娃去上海玩的 最佳路线"就能得到精准方案。当你的客户开始让AI替自己做决策时，一个残酷的现实正在浮现： 不做 GEO （生成式引擎优化）的品牌，正在被 AI 悄悄拉黑。 当AI从"能干活"进化到"会花钱"，一场静悄悄的商业权力转移已经开始。过去用户买东西要翻评价、刷攻略，现在只需给AI一 ...

景德镇鸡排哥的爆火，给所有营销人上了一堂" 流量觉醒课 "—— 他靠"痛苦面具炸鸡排"8天涨粉8.8万 ， 连 AI 都追着给他喂流量 ；而拿着百万预算的营销人，却还在为搜索结果排不上首页发愁。 更气人的是，他的"三秒递鸡排法"被AI拆成服务案例，"炸不好就砸锅"的碎碎念成了AI推荐金句，而我们花300万拍的品牌故事，AI连看都不看一眼。 原来不是我们不会做营销，是我们没搞懂： 2025年的流量，早被AI按"能不能拆"的标准重新分配了。 其实他能火，不是运气好，而是无意间踩中了生成式引擎优化（GEO）的3个核心真相。这3个真相，决定着2025年你的营销预算能不能花在刀刃上。 今天这篇，所有还在为流量焦虑的营销人，建议认真读到最后。 一、鸡排哥的"流量密码" 藏在生成式引擎的算法里 很多品牌学鸡排哥，只看到了"碎碎念金句""学生优惠"，却没看懂他无意间踩中的GEO（Generative Engine Optimization）三大红利： • 情绪标签自动化抓取 ："炸不到位无法原谅自己"的匠人语录，被AI自动归类为"责任感""幽默"标签，当用户搜索"有态度的小吃摊"时优先推荐； • 流程场景化拆解 ："三秒递鸡 ...

当你的品牌花了大价钱做 GEO（生成式引擎优化），看着关键词从 "查无此人" 冲到首页，以为终于能躺着等客户上门时，可能没意识到： 一场悄无 声息的 "流量流失战" 已经打响。 如今，越来越多品牌扎堆涌入生成式引擎赛道，试图靠 GEO 抢占 AI 推荐位、收割精准客源。但我们未可知人工智能研究院团队服务过近百家品牌后 发现一个残酷真相： 70% 的品牌 GEO 优化 "昙花一现"，排名上去没几天就断崖式下跌，投入的成本直接打水漂；剩下 20% 的品牌勉强维持排 名，却始终无法突破流量瓶颈，眼睁睁看着竞品把客户抢走 。 为什么会这样？核心问题往往出在一个认知误区上：把 GEO 当成 "一锤子买卖"，觉得 " 优化上去就万事大吉 "。今天，我们就来拆解这个让无数品 牌栽跟头的坑，告诉你如何让 GEO 效果 "稳如泰山"，真正把 AI 流量变成源源不断的订单。 1. 生成式引擎的 "淘汰机制"，比你想象中更残酷 生成式引擎（如 ChatGPT 插件推荐、AI 搜索结果排序等）的推荐算法，核心目标是 "给用户最贴合需求的答案"。这个 "贴合度" 不是固定不变的， 而是由三个维度实时决定： · 用户行为反馈 ：如果你的 ...

Core Insights - The emergence of Generative Engine Optimization (GEO) is leading to data poisoning behaviors that compromise the integrity of AI-generated information [1][2] - Data poisoning can undermine information fairness, harm user rights, and hinder healthy industry development [1][2] Group 1: Data Poisoning Risks - Data poisoning disrupts information fairness by amplifying false information, causing quality content to be overshadowed [1] - Users may make erroneous decisions based on non-objective information, particularly in high-stakes areas like finance and healthcare, potentially leading to financial loss or safety risks [1] - The repeated citation of incorrect information in AI models can erode user trust in AI, negatively impacting innovation and development quality in the AI industry [1] Group 2: Mitigation Strategies - Government departments should enhance regulatory guidance and establish industry standards related to GEO, focusing on data source verification, quality assessment, and content authenticity [2] - Companies must strengthen technical self-discipline, improve data screening processes, and develop high-precision techniques for identifying and filtering toxic data [2] - Public awareness of AI technology and the ability to discern false information should be improved, encouraging feedback on AI anomalies to foster a healthy AI governance ecosystem [2]

Core Viewpoint - The article highlights the increasing infiltration of advertisements in AI-generated responses, raising concerns about the reliability of information provided by AI tools [1][6][7]. Group 1: AI Tools and Advertising - A recent evaluation of ten mainstream AI search/chat tools revealed a tendency for AI responses to include advertisements, with multiple AIs repeatedly recommending the same brands and citing similar sources [1][2]. - The phenomenon is linked to the rise of GEO (Generative Engine Optimization), which optimizes brand content for AI models, allowing advertisements to be presented as authoritative information [1][2][5]. Group 2: Source Quality and Reliability - The evaluation found that many AI tools cited low-quality sources, with some links leading to unrelated content or commercial sites, raising questions about the credibility of the information [3][5]. - Some AI responses included links to websites that frequently updated their content to appear current, despite having low engagement metrics [5]. Group 3: User Trust and Response Mechanisms - The integration of advertisements into AI responses blurs the line between information and marketing, potentially influencing consumer decisions without their awareness [6][7]. - Experts suggest that AI platforms need to implement mechanisms to identify and filter out advertisements to maintain trust and credibility in AI-generated content [7].

Core Viewpoint - The article emphasizes the importance of Generative Engine Optimization (GEO) for brands to be visible in AI search results, highlighting that traditional content marketing strategies are ineffective in the AI-driven landscape [3][10]. Group 1: The Challenge of AI Visibility - Many brands are struggling to be found in AI search results despite significant investments in content marketing [1][4]. - There is a misconception that popular human-centric content will automatically rank well in AI searches, which is not the case [5][9]. Group 2: Understanding GEO - GEO is not just about publishing articles; it involves structuring content according to AI preferences and ensuring it is published on platforms that AI prioritizes [10][11]. - The first step in GEO is to decode AI's content preferences, which include structured information, precise keyword matrices, and authoritative sources [12][14]. - The second step is to publish content on high-priority information sources that AI is more likely to crawl, such as authoritative industry platforms [14][16]. Group 3: The Urgency of Adopting GEO - The window for capitalizing on AI traffic is limited, with only about 15% of companies currently recognizing the importance of GEO [16][18]. - The algorithms for generative AI are still evolving, making it easier to optimize content now rather than later when competition increases [16][18]. - User behavior is shifting, with 72% of users preferring AI-generated summaries over multiple webpage clicks, making it crucial for brands to be included in AI's answer database [16][18]. Group 4: GEO Services Offered - The company provides customized GEO services, including AI search diagnostics, content optimization, high-priority publishing strategies, and data tracking for continuous improvement [18][19]. - The effectiveness of these services is demonstrated by helping 128 clients achieve top 10 rankings in AI searches, with average exposure increasing by 5-10 times and consultation volume growing by 150-300% [21].

Core Insights - The rapid advancement of artificial intelligence (AI) is reshaping how users access information, with over 40% of users preferring to ask AI questions instead of using traditional search engines [1] - The emergence of Generative Engine Optimization (GEO) is crucial for businesses in the renovation industry to adapt to this new trend and capture traffic effectively [3] User Behavior Transformation - The popularity of generative AI has changed user behavior, leading more individuals to ask direct questions to AI rather than inputting keyword searches [4] - If businesses fail to have their content recognized and cited by AI, they risk missing out on a significant number of potential customers [4] Regional and Scenario-Based Demand in Renovation Industry - The renovation industry is highly dependent on regional factors, with customers preferring local companies with good reputations and quick responses [5] - GEO optimization can help businesses effectively reach local target users and improve customer acquisition efficiency [5][6] Reshaping Competitive Landscape - Companies that adopt GEO early have already reaped considerable benefits, and as AI penetration increases, the importance of GEO will continue to grow [7] - Content marketing in the renovation industry is undergoing a profound transformation, where understanding AI's logic is key to winning traffic [7] Core Optimization Strategies - **Authority and Credibility Building**: Businesses must establish a credible image by showcasing team qualifications, industry certifications, and successful case studies [8] - **Content Depth and Completeness**: Companies should create comprehensive content that addresses core user concerns and anticipates follow-up questions [9] - **Content Structuring and Readability**: Clear logical structures in content are essential for AI understanding, including well-defined headings and highlighted key points [10] - **Regional Keywords and Scenario Optimization**: Businesses should focus on specific regional and scenario-based keywords to enhance visibility [11][12] - **Technical Optimization**: Utilizing structured data and knowledge graphs is crucial for improving AI recognition [13] Trends and Challenges - AI will increasingly integrate into the renovation decision-making process, with content competition shifting towards value density [20] - Challenges include the opaque nature of algorithms and the need for continuous testing and adjustment by businesses [21] Recommendations for Renovation Companies - Conduct audits of existing content to optimize for GEO strategies [24] - Create AI-friendly content tailored to user inquiry scenarios [24] - Strengthen regional and scenario coverage in keyword strategies [24] - Implement technical adaptations to enhance AI recognition [24] - Monitor GEO metrics such as content citation frequency and brand mention rates [24]

Core Insights - AI is redefining the future of industries, particularly in advertising and marketing, by changing how brands reach consumers and build trust [2] - The emerging trend of Generative Engine Optimization (GEO) allows brands to embed their content within AI-generated results, influencing consumer decisions [2][3] Group 1: Generative Engine Optimization (GEO) - GEO focuses on embedding brand content in AI-generated results, differing from traditional SEO which aims for higher webpage rankings [2][3] - Effective GEO requires content that aligns with AI's preferences, such as third-party endorsements rather than self-promotional statements [3] - Content should be concise and directly answer specific questions to be favored by AI, enhancing its visibility in recommendations [3] Group 2: Trust and Credibility in AI - There are concerns about the trustworthiness of AI as a source of information, with the potential for skepticism towards AI recommendations [4] - AI tends to prioritize authoritative and credible sources, such as expert reviews, to mitigate misinformation risks [4] Group 3: Impact of AI on Marketing Processes - AI is significantly improving efficiency in the advertising industry by automating administrative tasks and enhancing customer management [5] - The next generation of products from companies like impact.com will integrate generative AI for natural language interactions and partner matching [5] - The growth of AI tools is driving new customer acquisition, particularly in the e-commerce and app subscription sectors [5]

Core Viewpoint - The article discusses the transformative impact of AI on the advertising and marketing industry, particularly through the emerging trend of Generative Engine Optimization (GEO), which redefines how brands can influence consumer decisions via AI-generated content [2][3]. Group 1: AI's Role in Advertising - AI is not just a tool but is redefining traffic entry points, user engagement, and trust in the advertising marketing sector [2]. - The GEO model allows brands to embed their content within AI-generated results, contrasting with traditional SEO that focuses on webpage rankings [3]. - To optimize for GEO, brands must create content that aligns with AI's preferences, such as third-party endorsements rather than self-promotional statements [4]. Group 2: Techniques for Effective GEO - Effective GEO requires content to be concise and directly answer specific questions, making it more likely to be favored by AI [4]. - AI tends to prioritize authoritative and credible sources, which means brands should focus on providing reliable information and references [5]. Group 3: AI's Impact on Marketing Processes - AI is significantly enhancing operational efficiency in marketing by automating administrative tasks and integrating generative AI into product offerings [6]. - The introduction of AI tools has led to a shift in client demographics, with an increasing number of companies in AI tool applications and short video exports becoming new growth drivers for businesses [6].