在当今数字化浪潮中，随着 ChatGPT、Bard、Claude、文心一言等生成式 AI 搜索产品的迅猛发展，一种全新的流量入口优化手段 —— 生成式引 擎优化（GEO，Generative Engine Optimization）应运而生，正逐步取代传统的搜索引擎优化（SEO），成为企业在数字营销领域争夺流量与曝光 的关键战略。那么，GEO 的本质究竟是什么？企业又该如何做好 GEO？在浙江地区，又有哪些公司在 GEO 优化推广方面表现卓越？本文将为您 深入剖析。 GEO 的本质探究 GEO 是指通过技术、内容结构和数据语义优化，使品牌、产品或内容在 AI 搜索 / 问答引擎中被优先引用、总结、推荐的策略体系 。它的本质并 非仅仅是 "让 AI 抓取到内容"，而是要 "让 AI 理解你是谁、你做什么、为什么选你，并主动把你推荐出去"，意味着企业要 "成为 AI 认知体系中 的一部分" 。 传统 SEO 时代，网站的成功多依赖于精确匹配和关键词的重复使用，通过提高网页在搜索引擎结果页面的排名来获取流量。但在 AI 主导的信息 获取新时代，GEO 的重点发生了根本性转变。品牌的竞争焦点从 "如何操控搜索排名" ...

Core Viewpoint - The rise of AI-driven marketing, specifically through Generative Engine Optimization (GEO), is reshaping how brands engage with consumers and how marketing strategies are developed, moving focus from traditional search engine optimization (SEO) to AI platforms [2][4][9]. Group 1: Marketing Strategies - GEO is a new marketing approach where advertising companies create and adjust content to be easily captured by AI chat software, similar to how SEO optimizes content for search engines [2][5]. - Brands are increasingly interested in having their products featured in AI responses, especially after the popularity of AI tools like DeepSeek [4][6]. - The process of GEO involves understanding AI's logic, creating a question bank, and optimizing content to enhance brand visibility in AI-generated answers [4][5]. Group 2: Industry Changes - The shift towards AI platforms has led to a decline in traditional search engine traffic, with Google and Baidu experiencing drops in market share [8][9]. - As AI tools gain traction, companies are reallocating budgets from SEO to GEO, with some brands reporting a significant increase in GEO-related inquiries [6][9]. - The demand for GEO services is growing, with various pricing models emerging, ranging from a few thousand to several hundred thousand yuan annually [6][8]. Group 3: Trust and Content Quality - Users generally trust AI-generated answers, but there are concerns about the quality and accuracy of the content being promoted through GEO, as it may include biased or misleading information [10][12]. - The lack of tools to measure the effectiveness of GEO compared to SEO poses challenges for brands in assessing the return on investment [11][12]. - The proliferation of low-quality content aimed at manipulating AI responses could lead to a degradation of trust in AI platforms [12][18]. Group 4: Regulatory and Ethical Considerations - There is an ongoing debate about whether GEO should be classified as advertising, with differing opinions on its compliance with advertising laws [14][15]. - The potential for misleading AI-generated content raises ethical concerns, particularly regarding consumer trust and the accuracy of information presented [15][17]. - As AI platforms evolve, there may be a need for clearer regulations to ensure transparency and accountability in AI-generated marketing content [17][18].

品牌主嗅着流量的味道，将注意力从搜索引擎转移到AI聊天软件。 打开DeepSeek，记者输入"深圳南山区有什么美食店面推荐"，DeepSeek推荐了一家牛蹄店、一家面店、一家烧腊饭店和另外7家饭店。再点开DeepSeek引用 的链接，发现导向了自媒体文章、百度百科、360地图等网页。随后，记者打开小红书，输入"DeepSeek推荐"搜索，能看到一些帖子，大致内容是DeekSeek 推荐的某个品牌很好用。 如果不追溯AI回答所引用的网页，用户或许不会发现，一些内容可能是品牌营销的结果。而AI对某个商家的推荐，摇身一变，在另一个社交平台上，又可 能成为某个商家的背书。 多家广告营销公司的负责人告诉记者，DeepSeek走红后，品牌客户开始注意到AI聊天软件上的巨大流量。特别是近两个月来，越来越多客户希望自己的品 牌能在AI回答中露出。 猛犸世纪总经理罗小军告诉记者，营销公司以往做SEO，会通过关键词优化等方法，使品牌网页在搜索结果中排名提升，这些方法包括写百度百科、百度经 验、百度问答、发布消息等，品牌官网也是主要载体。但在AI时代，用户习惯变成向AI描述需求，由AI直接生成答案。他发现，AI不太喜欢抓取品牌官方 ...

Core Insights - The rise of Generative Engine Optimization (GEO) as a new marketing strategy has gained significant traction since the popularity of DeepSeek, with brands increasingly inquiring about GEO services and their effectiveness [1][2][3] - GEO aims to enhance a brand's visibility in AI-generated responses by creating content that aligns with AI preferences, contrasting with the more established Search Engine Optimization (SEO) market, which is valued at nearly $90 billion [1][2][3] - The GEO market is still in its infancy, characterized by a lack of standardized practices and a mix of service quality, leading to a chaotic environment reminiscent of the early days of internet marketing [1][8][19] Market Demand and Growth - The demand for GEO services has surged, with many brands seeking to understand how to optimize their presence in AI responses, indicating a shift in consumer decision-making influenced by AI [2][4] - The market has seen a rapid influx of GEO service providers, with offerings ranging from customized services to traditional SEO-style keyword-based pricing [5][6][12] - The potential for GEO to become a primary marketing strategy for consumer brands is evident, as many companies are now focusing on AI chat interfaces for customer engagement [5][6] Operational Mechanisms - GEO operates by embedding brand information into AI platforms like ChatGPT and DeepSeek, aiming to be included in AI-generated answers to user queries [2][4] - Successful GEO strategies involve understanding AI content preferences, which can influence the output of AI responses, as highlighted by a study from the Indian Institute of Technology [6][12] - Content optimization strategies include semantic depth, data support, and authoritative sources, with a focus on content distribution across frequently cited websites [6][7] Challenges and Concerns - The unpredictable nature of AI responses poses challenges for GEO service providers, as the effectiveness of their strategies can vary significantly [9][10] - The industry faces issues with "black hat" practices, where low-quality content is produced to manipulate AI responses, raising concerns about content integrity and user experience [11][12] - The lack of clear metrics for success in GEO makes it difficult for companies to measure the effectiveness of their campaigns, leading to potential misunderstandings between service providers and clients [9][10] Future Outlook - There is optimism that as the AI ecosystem matures, clearer regulations and standards for GEO will emerge, similar to the evolution of SEO [19] - The integration of advertising into AI responses is anticipated, which could lead to more structured commercial rules and better measurement tools for marketing effectiveness [18][19] - Companies are preparing for a future where AI marketing becomes more sophisticated, moving beyond simple keyword matching to understanding user intent [18][19]

Core Insights - The article emphasizes the growing importance of SEO training in Xiamen as more businesses focus on online promotion in the digital age [1][3]. Group 1: Core Content of Xiamen SEO Training - The training will cover essential SEO topics such as keyword research, website structure optimization, and content optimization [4]. - Keyword research is highlighted as the foundation of SEO, teaching participants how to analyze and select relevant keywords with high search volumes [5]. - Website structure optimization is crucial for user experience and search engine efficiency, with detailed guidance on URL design, navigation menus, and internal linking [6]. - Content optimization is essential for attracting and retaining users, focusing on high-quality article writing, title design, keyword placement, and multimedia elements [9]. Group 2: Practical Case Studies in Xiamen SEO Training - Successful SEO case studies will be analyzed to understand how keyword, structure, and content optimization lead to improved rankings [10]. - Failed SEO case studies will also be reviewed to identify common pitfalls and learn how to avoid similar mistakes [10]. - The training will address industry trends and algorithm updates to keep SEO strategies current [12]. - User behavior analysis will be taught to enhance keyword selection and content creation strategies [12]. Group 3: Recommendations and Insights from Xiamen SEO Training - Continuous learning and practice are essential in the SEO field, encouraging participants to stay updated on industry trends and algorithm changes [12]. - Team collaboration and communication are vital for successful SEO projects, with strategies for effective teamwork being emphasized [12]. - The selection of appropriate tools and resources can significantly enhance efficiency in SEO work [12]. - Patience and perseverance are necessary traits for success in SEO, with encouragement to maintain a positive mindset [12]. Group 4: Target Audience and Preparation for Xiamen SEO Training - The training is suitable for business owners, website administrators, and marketing professionals looking to improve website rankings and traffic [13]. - Participants are advised to have a basic understanding of SEO and prepare necessary materials for practical exercises [15].

Core Insights - The article discusses the transition from traditional Search Engine Optimization (SEO) to Generative Engine Optimization (GEO), highlighting the impact of large language models (LLMs) on search behavior and marketing strategies [3][5][21] - It emphasizes that the SEO market, valued at over $80 billion, is facing challenges as search behavior shifts from browsers to LLM platforms, fundamentally altering how exposure and content optimization are defined [3][5][9] Transition from Links to Language Models - Traditional search relied on link-based ranking, while GEO focuses on language and direct answers generated by models [4][5] - The average query length has increased significantly to 23 words, compared to just 4 words in traditional searches, indicating deeper user engagement [4] - LLMs provide personalized responses through memory and reasoning capabilities, changing the content discovery and optimization logic [4][5] New Metrics and Competitive Focus - The focus of competition has shifted from click-through rates to "model citation rates," where brands need to be encoded into AI layers to build new competitive barriers [5][12] - Emerging platforms like Profound and Goodie help brands analyze their presence in AI-generated answers and track sentiment in model outputs [12][13] Brand Strategy Evolution - A new brand strategy is emerging that prioritizes model recognition over public recognition, with "unprompted awareness" becoming a key metric in the AI era [12][14] - Tools like Ahrefs' Brand Radar and Semrush's AI toolkit are adapting to help brands monitor their visibility and mentions in generative platforms [13][14] The Rise of GEO Tools - GEO tools are not just about data measurement but also about actively shaping LLM behavior through insights and iterative feedback loops [20] - Companies that excel in GEO will create actionable infrastructures for real-time marketing activities and content optimization [20][21] Timing and Market Dynamics - The article notes that the transition to GEO is still in its early stages, with significant opportunities for brands to adapt as advertising budgets shift rapidly [21][22] - The ultimate question for marketers in the AI-driven landscape is whether models will remember their brands [22]

Core Insights - The article discusses the shift from traditional Search Engine Optimization (SEO) to Generative Engine Optimization (GEO) as a new strategy for enhancing brand marketing effectiveness in the age of AI-driven information retrieval [1][2] - A16z emphasizes that the focus of brand competition will transition from manipulating search rankings to being actively referenced by AI models, indicating that brand success will hinge on being "remembered" by AI rather than just being found through search engines [1][2] Industry Overview - For over two decades, SEO has been the gold standard for online exposure, leading to the emergence of various tools and services aimed at optimizing digital marketing [2] - By 2025, the landscape of search is expected to change dramatically, with traditional search engines being replaced by large language model (LLM) platforms, challenging Google's dominance in the search market [2] - The SEO market, valued at over $80 billion, is beginning to wane as a new paradigm driven by language models emerges, marking the onset of the GEO era [2] Transition from SEO to GEO - Traditional search relied on "links," while GEO relies on "language," shifting the definition of visibility from high rankings in search results to being integrated into AI-generated answers [3][6] - The format of search answers is evolving, with AI-native searches becoming more decentralized across platforms like Instagram, Amazon, and Siri, leading to longer queries and extended session durations [3][5] Differences Between SEO and GEO - GEO differs fundamentally from traditional SEO in content optimization logic, requiring content to have clear structure and semantic depth for effective extraction by generative language models [6][11] - The business models and incentives of traditional search engines and language models differ significantly, impacting how content is referenced and monetized [7][11] New Metrics for Brand Visibility - The core metrics for brand communication are shifting from click-through rates (CTR) to citation rates, which measure how often brand content is referenced in AI-generated answers [11][12] - Emerging platforms like Profound, Goodie, and Daydream are utilizing AI analysis to help brands track their presence in generative AI responses, focusing on frequency and sentiment of mentions [11][12] Tools and Strategies in GEO - Companies are developing tools to monitor brand mentions in AI outputs, with platforms like Ahrefs and Semrush adapting to the GEO landscape [12][15] - GEO represents a paradigm shift in brand marketing strategies, emphasizing how brands are "written into" AI knowledge layers as a competitive advantage [12][15] Future of GEO - The future of GEO platforms will involve not only brand perception analysis but also the ability to generate AI-friendly marketing content and respond to changes in model behavior [17][18] - The rapid migration of budgets towards LLMs and GEO platforms indicates a significant shift in marketing strategies, with brands needing to ensure they are remembered by AI before user searches occur [18]

Core Insights - The article discusses the interaction between AI search engines and content creation, highlighting how AI models like DeepSeek and Tencent Yuanbao evaluate and prioritize content based on user needs and market trends [2][20][24]. Group 1: AI Earphone Market Insights - The article emphasizes the growing demand for AI earphones, particularly those with translation capabilities, which are increasingly popular among diverse ethnic groups [2][6]. - Two key articles, "9块9的中国AI耳机" and "双十二耳机选购指南," are identified as influential references for AI earphone recommendations, both providing in-depth analysis of user needs and market trends [8][9]. - Tencent Yuanbao's recommendations for AI earphones include WISHEE AI earphones, which, despite low market visibility, were prioritized due to their innovative features and user-centric design [10][11]. Group 2: AI Search Engine Evolution - The article outlines a shift from traditional search engines to AI-driven search engines, which provide direct answers to user queries, enhancing user experience and engagement [25][26]. - AI search engines have shown a significant increase in interaction rounds, averaging 2.8 times per query, which is 70% higher than traditional search methods [27]. - The rapid adoption of AI search technologies is evidenced by the growth in active users, with OpenAI reaching over 400 million weekly active users and DeepSeek surpassing 100 million downloads [28]. Group 3: New Business Opportunities - The article suggests that the rise of AI search engines presents new opportunities for SEO strategies, shifting from keyword-based advertising to content quality and relevance [35][40]. - Companies are encouraged to focus on creating high-quality content that aligns with AI models' understanding of user needs, as this will influence AI-generated recommendations [41]. - The potential for AI-driven "recommendation" services in e-commerce is highlighted, indicating a shift in how consumers make purchasing decisions [41][42].