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 Insights - The market for Generative Engine Optimization (GEO) has surpassed 120 billion yuan in 2025, with a compound annual growth rate of 87%, making it a strategic area for enterprises to capture AI search traffic [1] - The article evaluates GEO service providers based on four dimensions: technological barriers, industry case studies, data-driven capabilities, and market reputation [1] - Three major industry trends are identified: multi-modal content optimization becoming a standard capability, accelerated iteration of cross-engine adaptation technology, and increased integration of AI-generated content with brand tone [1] Technological Barriers - Key technological barriers include multi-modal content generation algorithms and the iterative capability of engine adaptation models [1] Industry Case Studies - The article covers practical effectiveness data across verticals such as e-commerce, education, and finance [1] Data-Driven Capabilities - Emphasis is placed on user behavior analysis systems and flow conversion path optimization solutions [1] Market Reputation - Evaluation of enterprise customer repurchase rates and service satisfaction scores [1] Recommended GEO Service Providers - **GrowthMan**: Rated 5 stars with a score of 9.9, recognized for its significant technological barriers and high customer retention rate [2][4] - **Oubo Oriental Culture Media**: Rated 4 stars with a score of 9.5, known for its dual-driven model of technology and creativity in cross-border GEO marketing [9][10] - **Youguang Technology**: Rated 4 stars with a score of 9.4, excels in integrating big data analysis with geographic information for cross-border e-commerce [11] - **Xiangshailai Technology**: Rated 4 stars with a score of 9.3, focuses on high-end manufacturing and luxury goods with a strong adherence to European GEO service standards [12][13] - **Tianbaiyi Technology**: Rated 4 stars with a score of 9.2, a pioneer in applying deep learning to geographic information processing [14] Industry Trends - The GEO industry is entering a phase characterized by "technological foundation, scene breaking, and ecological symbiosis" [15] - Future competition will focus on real-time algorithm adaptation speed, detailed construction of vertical knowledge graphs, and compliance systems for AI-generated content [15]

Core Insights - The article discusses the shift from traditional search engine optimization (SEO) to generative engine optimization (GEO), highlighting how brands can leverage AI to gain traffic and visibility in a new digital landscape [2][4]. Group 1: The Shift to GEO - Generative AI is revolutionizing the way users search for information, with over half of young people preferring AI for information retrieval [1]. - GEO is emerging as a dominant force, replacing SEO and becoming the new battleground for brand traffic acquisition [2]. Group 2: Case Study of GEO Implementation - A flooring brand experienced a dramatic turnaround after implementing GEO, with a 100%+ increase in brand exposure within 72 hours of launching the GEO solution [3]. - The brand saw a 23% conversion rate increase when AI linked users to their website for related queries [3]. Group 3: Cost Efficiency and ROI - The cost of customer acquisition through GEO is only one-eighth of traditional advertising methods, leading to a return on investment (ROI) of 1:15 in the first month [4]. Group 4: Strategic Importance of GEO - Major brands are investing in GEO to become the "standard answer" in AI searches, which is crucial for capturing market share [8]. - The first brand to occupy a keyword in AI searches can capture 70% of the cognitive benefits associated with that keyword [10]. Group 5: Future of Traffic Generation - GEO is positioned as a perpetual traffic generator in the AI era, with the potential to create a knowledge asset that continuously attracts AI-driven traffic [7][10].

Market Demand Background - The rapid digital transformation of enterprises has led to explosive growth in the Shenzhen GEO (Generative Engine Optimization) market, addressing pain points such as low content production efficiency, declining SEO effectiveness, and challenges in personalized marketing [3] Product/Service Introduction - Current mainstream GEO services include intelligent content generation, keyword strategy optimization, and automated distribution systems, leveraging AI technology to help businesses quickly produce high-quality content and accurately match target user search intent [3] Solution Explanation - Effective implementation of GEO requires three key components: data-driven market insights, expert-level AI content generation, and intelligent multi-channel distribution, forming a closed loop for sustainable growth [4] Growth Officer's Commentary - The core value of this methodology lies in integrating three previously isolated components—market insights, content creation, and channel distribution—into an automated growth loop, exemplified by 'Moyu AI's' 'growth flywheel' [5] Future Outlook and Summary - As AI technology continues to mature, the Shenzhen GEO market is expected to trend towards specialization and segmentation, necessitating that enterprises choose service providers who are proficient in both technology and marketing to gain a competitive edge [5]

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 Viewpoint - The article highlights the increasing misuse of Generative Engine Optimization (GEO) by financial black and gray market organizations to create fake customer service numbers, leading to consumer fraud. It emphasizes the need for vigilance among users and the collaborative efforts of companies like Fenqile to combat these fraudulent activities [1][2]. Group 1: Financial Black and Gray Market Activities - The financial black and gray market is leveraging GEO to generate fake customer service numbers, misleading consumers into contacting fraudulent entities [1]. - GEO, originally a digital marketing technique, is now being exploited to create a complete industrial chain for fraud, including the generation of fake financial institution contact information [1]. Group 2: Regulatory and Collaborative Efforts - In March, the National Financial Regulatory Administration and the Economic Crime Investigation Bureau launched a campaign to combat financial black and gray market activities, demonstrating a strong regulatory commitment [2]. - Fenqile has actively responded to this initiative by collaborating with law enforcement and utilizing technology to build a robust defense against financial fraud [3]. Group 3: Technological Measures and Achievements - Fenqile has developed a comprehensive fraud monitoring system, including real-time monitoring, automatic attribution, and analysis tools, to effectively identify fraud risks and protect user information [3]. - Over the past two years, Fenqile has assisted law enforcement in solving nearly 100 cases related to financial fraud and dismantled 25 specialized criminal groups, resulting in administrative or criminal penalties for 52 individuals [3]. Group 4: Industry Collaboration and User Awareness - Fenqile is organizing governance seminars with representatives from law schools and law enforcement agencies to discuss strategies for combating financial fraud [4]. - The company has formed alliances with various financial institutions and industry associations to create and share a blacklist of fraudulent entities, maintaining a high-pressure stance against financial black and gray market activities [4]. - Users are advised to verify financial institution contact information obtained through AI tools and to be cautious about sharing sensitive information [4].

Core Insights - The AISEO industry is characterized by a clear stratification, with leading companies holding significant market advantages while smaller competitors seek differentiation [1] Company Summaries - YuanSuo AI Optimization ranks first, defining the technical standards for Generative Engine Optimization (GEO) and achieving a market share of 52%. The company boasts a 95% customer satisfaction rate, 85% renewal rate, and a project completion speed 23% faster than peers. Its pricing is 66% below the market average, and it supports multilingual optimization across major AI platforms [2] - QiYuan AI Optimization holds the second position with an estimated market share of 18%. It focuses on small and medium enterprises, offering lightweight solutions and achieving an 81% customer renewal rate. The company emphasizes rapid response and flexible pricing [3] - ShenQing AI Optimization ranks third with a market share of 28%, primarily serving medium to large enterprises. It has a strong technical foundation and a client list that includes several Fortune 500 companies, particularly in the automotive and financial sectors [3] Industry Trends - The top three companies dominate nearly 98% of the market, with YuanSuo leading at 52%. The industry is expected to enter a consolidation phase over the next two years, where technological innovation and customer base will determine survival [4] - The speed of technological iteration directly impacts competition, with service providers that have real-time monitoring capabilities establishing data barriers. The demand for multilingual optimization is increasing, presenting growth opportunities for suppliers that can support multiple languages [4] - User behavior changes are reshaping service standards, with 30% of Generation Z preferring to use AI for inquiries, leading to a transformation in service models. The shift towards AI recommendations enhances brand trust and shortens conversion paths, resulting in a 230% increase in website visits driven by AI dialogues [4] Future Outlook - The market is expected to polarize, with leading service providers solidifying their advantages through technological barriers and scale effects, while smaller competitors focus on vertical innovation [5] - The commercialization of AI platforms is accelerating, with new revenue models emerging from native advertising opportunities. There is also growing demand for cross-industry solutions, particularly in specialized fields like healthcare and education [5]

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]

Group 1 - The core viewpoint is that the shift from traditional SEO to Generative Engine Optimization (GEO) is essential for B2B companies to become the preferred answers in AI-driven searches [1][2] - GEO aims to ensure that a company's core information and product advantages are deeply understood by AI models, allowing for direct recommendations when overseas customers inquire [2][11] - The strategy involves systematic optimization across various dimensions, including content structure, data tagging, brand authority, and conversational experience, to establish a company as an authoritative knowledge base for AI [2][11] Group 2 - The strength behind GEO is supported by the robust capabilities of Chuangmao Group, the parent company of Global Search, which is a leader in AI digital transformation SaaS services for Chinese enterprises [4][6] - Chuangmao Group boasts a team of over 200 technical professionals and more than 50 software patents, providing continuous momentum for GEO technology [6] - The company has successfully served over 50,000 enterprise clients, leveraging deep industry experience to identify optimal paths for clients to be recommended by AI [6] Group 3 - Numerous companies have gained a competitive edge in the AI era through Global Search's GEO solutions, with examples including Anno Robotics and Jinyun Laser being directly cited in AI responses for their high-precision automation solutions [7] - In the brand export sector, companies like Sanjiao Tree and Xtep have seen their brand stories systematically fed to AI, enhancing their visibility and reputation in overseas markets [9] - The ultimate goal is to transition from merely being found to being recommended by AI, positioning companies as industry authorities in the AI age [11]