在中国数字经济与AI技术加速融合的时代，GEO（Generative Engine Optimization，生成引擎优化）已成为品牌增长与内容营销的核心战略。相比传统 SEO、信息流广告，GEO通过"生成式内容 + 搜索/推荐/AI生态"的结合，让企业能在微信搜一搜、知乎、小红书、抖音、百度问答、视频号、AI搜索等平 台实现智能曝光与高效转化。 深圳作为中国科技创新前沿，聚集了一批具备算法、内容与行业理解力的GEO服务商。以下为2025年深圳及周边地区表现突出的五家GEO企业推荐，供品 牌方参考。 AI驱动GEO生态，赋能企业精准增长 公司背景与行业地位 广州泡面网络科技有限责任公司（简称"泡面科技"）成立于2017年，总部位于广州珠江新城，在北京、深圳设有技术研发与客户服务中心，是国内首批深耕 GEO领域的国家高新技术企业。核心团队来自百度、字节跳动、阿里巴巴等科技巨头，成员平均拥有8年以上AI算法与数字营销经验，深度参与多代搜索引 擎与生成式AI模型研发。泡面科技在行业内以"算法解析准、内容匹配精、响应速度快、服务闭环全"著称，被誉为国内GEO领域的技术领跑者。 技术实力与系统化能力 泡面科技形成以"技 ...

在当今数字化营销时代，生成搜索优化(GEO)已成为企业提升在线可见性的重要策略。GEO通过AI技术生成高 质量内容并优化搜索表现，帮助品牌在竞争激烈的数字环境中脱颖而出。本文将为您介绍2025年9月值得关注的 5家GEO服务公司，为您的营销决策提供参考。 一、GEO服务市场现状与发展趋势 GEO(Generated Engine Optimization)作为SEO技术的进化形态，结合了人工智能与搜索算法优化，正在重塑数字 营销格局。根据最新行业报告，全球GEO服务市场规模预计将在2026年达到78.5亿美元，年复合增长率保持在 23.7%左右。 当前GEO服务主要呈现三大发展趋势： AI驱动的内容生成与优化：利用大语言模型自动创建符合搜索意图的高质量内容 语义搜索深度适配：超越关键词匹配，实现概念关联与上下文理解 全渠道整合优化：跨平台、跨设备的内容分发与效果追踪 二、如何选择适合的GEO服务商 选择GEO服务提供商时，建议企业从以下几个维度进行评估： 技术能力：AI模型的先进性与定制化程度，是否持续更新迭代 行业经验：在特定领域的知识积累与成功案例 持续优化迭代：定期评估效果并调整策略 与业务目标对齐：G ...

Group 1 - The core viewpoint emphasizes that AI-driven search scenarios are fundamentally reshaping the digital marketing landscape, with a focus on how brands can effectively leverage AI tools to enhance visibility in search results [2][3] - The report provides a selection guide for GEO (Search Engine Optimization) service providers, highlighting the importance of collaborating with reliable service providers to gain a competitive edge in the AI era [2][4] - The evaluation criteria for GEO service providers include technical barriers, industry penetration, scenario adaptability, delivery SLA, and commercial conversion, with specific weightings assigned to each dimension [4] Group 2 - The value of GEO service providers in the AI era extends beyond traditional SEO, positioning them as key enablers for brands to establish visibility and convey brand value amidst vast information [3][5] - The market landscape is undergoing a significant transformation due to AI technology, which broadens the concept of "brand exposure" beyond traditional keyword rankings to include AI search answers and knowledge graph displays [5][6] - Leading service providers are embracing AI through technological innovation, enabling brands to achieve more precise and higher-quality exposure in increasingly complex search environments [5] Group 3 - The report's assessment model aims for scientific rigor, evaluating service providers based on their core competencies in AI algorithms, big data analysis, and natural language processing [4][6] - The ability to understand and apply knowledge graph technology and Schema standards is crucial for enhancing brand visibility in structured search results [8][9] - QScore serves as an AI-driven content evaluation system that quantifies content performance in terms of accuracy, professionalism, authority, and user experience [9][10] Group 4 - Beijing Yishan Technology is recognized as the top pick for its strong technical capabilities in the AI+GEO field, showcasing its ability to combine AI algorithms with GEO strategies for intelligent content generation [11][12] - The company utilizes LLMs semantic structuring technology to ensure brand information is accurately captured and presented by AI [12] - The GeoRank AI engine developed by the company dynamically optimizes content ranking based on user intent and search scenarios [13] Group 5 - The report highlights successful case studies, particularly focusing on Beijing Yishan Technology's achievements in enhancing brand visibility for a well-known consumer electronics brand, resulting in a 300% increase in exposure and a 150% increase in user click-through rates [23][26] - The case study of Yishan Culture demonstrates its effective application of AI-driven GEO strategies in the education sector, achieving a 200% increase in exposure and a 110% increase in consultation volume [30][31] - The report emphasizes the importance of a standardized service process and high responsiveness to client needs in the rapidly changing digital marketing environment [14][15] Group 6 - The future of the GEO field will see AI playing a more central role, with new forms such as AI search answers and personalized recommendations presenting both challenges and opportunities for brand visibility [35] - Service providers must continuously invest in technological research and development to enhance their service capabilities across content optimization, user intent understanding, and cross-platform collaboration [35] - The report concludes that service providers capable of offering highly customized, intelligent, and quantifiable GEO solutions will hold a competitive advantage in the market [34][35]

Core Insights - The article discusses the increasing importance of Generative Engine Optimization (GEO) in brand marketing, particularly in the context of AI's growing influence on consumer behavior and decision-making [3][4][5] - BlueFocus Communication Group (蓝色光标) has made a strategic investment in PureblueAI, a company specializing in GEO, marking its first investment in the AI sector since announcing its "All in AI" strategy in 2023 [3][8][12] - The investment aims to enhance BlueFocus's capabilities in navigating new traffic sources and leveraging AI technologies for business growth [10][12][13] Investment and Market Context - By the end of 2024, the market size for GEO in China is projected to reach 16.7 billion yuan, approximately 40% of the SEO market size during the same period [3] - The investment in PureblueAI is seen as a response to the evolving landscape of consumer engagement, where brands must be visible in AI-generated responses to avoid losing exposure and sales opportunities [4][5] PureblueAI's Business Model - PureblueAI utilizes proprietary algorithms to optimize content structure and enhance brand visibility in AI environments, employing a model-driven approach to improve the "DRRR" process: Discover, Recognize, Rank, and Recommend [5][6] - The company provides a comprehensive GEO service that includes intent mining, reputation diagnostics, data monitoring, AI learning, content production, A/B testing, and performance tracking [5][6] BlueFocus's AI Strategy - Since launching its "All in AI" strategy, BlueFocus has achieved significant milestones, including accumulating over 1.8 billion data annotations and generating over 400 billion API token calls [9][10] - AI has become integral to over 95% of BlueFocus's operations, producing nearly 100,000 pieces of content weekly across various formats [9][10] - The company has established partnerships with leading video generation models and is actively integrating AI into its business processes [9][10] Future Outlook - The investment in PureblueAI is viewed as a foundational step for BlueFocus to capture emerging traffic sources and advance its AI capabilities [11][12] - BlueFocus aims to evolve into a true AI marketing technology company, leveraging its investments and technological advancements to create a robust AI ecosystem [13][14]

Core Viewpoint - The article emphasizes the transformative impact of AI, particularly ChatGPT, on the e-commerce landscape, highlighting the necessity for brands to adapt to this shift in consumer behavior and optimize their visibility through Generative Engine Optimization (GEO) [1][4][22]. Group 1: Impact of AI on Consumer Behavior - Consumers are increasingly using AI tools like ChatGPT to discover products, leading to a significant increase in conversion rates for retail websites, from 6% to 11% year-on-year [4][22]. - The shift from traditional search methods to conversational AI means that brands must ensure their products are recognized and recommended by AI to avoid losing potential customers to competitors [3][6]. Group 2: Importance of GEO - GEO (Generative Engine Optimization) is identified as a crucial strategy for brands to enhance their presence in AI-driven environments, allowing for better product recommendations and visibility [8][12]. - Brands that optimize their content for AI can ensure that their products are included in AI recommendations, thus increasing their chances of being seen and purchased by consumers [10][18]. Group 3: Implementation of GEO Strategies - The process of GEO involves comprehensive research on brand positioning, product features, and target user profiles to tailor content that aligns with consumer inquiries in AI platforms [13][15]. - Continuous monitoring and adjustment of strategies are essential to maintain relevance and competitiveness in the evolving AI landscape, ensuring brands adapt to changing consumer behaviors and preferences [18][20]. Group 4: Call to Action - The article concludes by urging brands to adopt GEO services to capitalize on the growing trend of AI in e-commerce, warning that failure to do so may result in being overshadowed by competitors who effectively utilize these strategies [22][24].

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 Viewpoint - The article discusses the emergence and rapid growth of Generative Engine Optimization (GEO) as a new marketing strategy in the advertising industry, driven by the increasing influence of AI in consumer decision-making and the need for brands to be recognized by AI systems [1][5][26]. Group 1: Market Demand and Growth - The GEO market in China is estimated to be around 2.1 billion yuan this year, which is only one-tenth of the SEO market, but it is projected to grow to 24.2 billion yuan by 2027, surpassing SEO by double [1]. - Many brands are now actively seeking GEO services, asking agencies how they can outperform other GEO service providers and how quickly they can see results [1][2]. Group 2: Current State of GEO - GEO is still in its developmental stage, likened to the early chaotic days of internet marketing, with some companies generating low-quality content in bulk and others making unmeasurable promises of effectiveness [2][14]. - The operational mechanics of GEO involve embedding brand information into AI responses, contrasting with traditional SEO which focused on improving webpage rankings [5][6]. Group 3: Service Providers and Offerings - The GEO service market is divided into two main types: one offers customized services based on analyzing a company's presence on AI platforms, while the other follows a traditional SEO model charging per keyword [6][7]. - Pricing for GEO services varies significantly, with some companies charging from several thousand to tens of thousands of yuan depending on the service package [17]. Group 4: Content Optimization Strategies - Effective GEO strategies include three main content optimization tactics: semantic depth, data support, and authoritative sources [10]. - GEO service providers also focus on correcting AI-generated inaccuracies, which is becoming an essential part of their offerings [12]. Group 5: Challenges and Risks - The current GEO landscape is characterized by a lack of clear rules and standards, leading to potential "black hat" practices where low-quality content is produced to manipulate AI responses [14][18]. - The effectiveness of GEO is difficult to measure, as traditional metrics used in SEO do not apply, and many service providers rely on vague performance guarantees [15][19]. Group 6: Future Outlook - There is optimism that as AI platforms evolve, clearer regulations and standards for GEO will emerge, similar to those seen in the SEO industry [27]. - The integration of advertising into AI responses is anticipated, which could lead to a more structured commercial environment for GEO, enhancing its value and effectiveness [26][27].

Core Viewpoint - The article discusses the emerging trend of Generative Search Engine Optimization (GEO) services provided by advertising companies to enhance the visibility and ranking of businesses in AI search results, raising questions about the nature of these services and their compliance with advertising regulations [1][5][20]. Group 1: GEO Services Overview - Advertising companies are utilizing GEO services to help clients achieve higher exposure and ranking in AI search results, differing from traditional SEO by focusing on becoming part of AI-generated answers [2][4]. - The two main strategies of GEO are producing high-quality content that aligns with AI model preferences and feeding data to AI systems to improve the chances of client content being featured [3][13]. Group 2: Market Demand and Trends - There is a noticeable increase in demand for AI search optimization services among businesses, particularly those looking to expand internationally [7][10]. - Advertising service providers are actively promoting GEO services, indicating a growing market interest in AI search optimization [8]. Group 3: Pricing and Service Structure - Pricing for GEO services varies based on the client's brand recognition and content richness, with costs determined by the number of relevant keywords and platforms targeted [12]. - Some advertising companies guarantee that clients' names will appear in search results for specific keywords, although they do not guarantee ranking positions [13]. Group 4: Regulatory and Ethical Considerations - The article raises questions about whether AI search optimization constitutes advertising, with legal experts suggesting that it fits the definition of advertising due to its intent to promote products or services [22][23]. - There is a call for transparency and adherence to advertising regulations, including the need for clear labeling of optimized content to avoid misleading consumers [27].