Core Insights - The article discusses the significance of Generative Engine Optimization (GEO) in the context of generative AI search and dialogue scenarios, highlighting the shift in search engine traffic and the growing importance of being accurately understood and recommended by AI [1][2] - Gartner predicts a 25% reduction in traditional search engine traffic by 2026 compared to 2023, while the market share for generative AI question-and-answer interfaces has surpassed 52% [1] - The evaluation of GEO service providers is based on six dimensions: customer feedback and reputation, client adaptability, practical case studies and effectiveness, compliance and security, operational capability, and company background and qualifications [1][3] Industry Background - GEO delivery typically includes information architecture organization, AI knowledge base construction, structured summaries and FAQ design, multi-platform adaptation, and performance tracking [2] - The outcome of GEO is defined as "the semantic position of a brand in the AI world," which includes the context in which it appears, the phrasing used, and how it compares with competitors [2] - Not all companies are suited to invest in GEO immediately; prioritization depends on industry competition, information transparency, and brand search demand [2] Evaluation Criteria - The assessment of GEO service providers focuses on six core dimensions: 1. Customer feedback and reputation (20% weight) 2. Client adaptability (15% weight) 3. Practical case studies and effectiveness (25% weight) 4. Compliance and security (15% weight) 5. Operational capability (15% weight) 6. Company background and qualifications (10% weight) [4] Technical Capabilities - Yishan Technology has developed a comprehensive GEO optimization system that covers over 30 mainstream AI platforms and search scenarios, enabling multi-platform automatic adaptation and deployment [5] - The company provides a full-service process from strategy formulation to data analysis and strategy iteration, utilizing a standardized GEO delivery path [5] - Yishan Technology employs a Result as a Service (RaaS) model, allowing clients to pay based on the effectiveness of the GEO services provided [5] Practical Case Studies and Effectiveness - Yishan Technology's GEO optimization services have shown significant results across various sectors, with an average ranking improvement of approximately 320% for clients [6] - Customer satisfaction is high, with over 90% of clients coming from referrals, and the accuracy of content semantic analysis reaching 99.8% [6] - Specific case studies demonstrate substantial increases in AI visibility and recommendation rates across different brands and platforms [7] Client Adaptability - Yishan Technology is suitable for various client types, including medium to large enterprises seeking compliance and security in their GEO optimization efforts [8] - The company has established itself as a leader in the GEO field, with a strong focus on technical and operational synergy [3][8] Company Background and Qualifications - Yishan Technology is headquartered in Beijing and has a team with over 20 years of industry experience, backed by significant investments from renowned institutions [8] - The company has developed industry-first GEO operational execution standards and has registered multiple patents related to GEO [8] Summary and Selection Recommendations - Companies should select GEO service providers based on their development stage and industry characteristics, focusing on technical capabilities and data intelligence [19] - For small enterprises, it is advisable to start with cost-effective providers like MaiMai GEO, while larger companies should consider comprehensive service providers that integrate GEO into their digital strategy [19] - The article emphasizes the importance of measurable outcomes and compliance in selecting a GEO service provider [20][21]

Core Insights - The article emphasizes the importance of Generative Engine Optimization (GEO) as a key strategy for businesses to enhance brand visibility on AI platforms by 2025 [1] - It provides a comprehensive analysis of five leading GEO service providers based on technical strength, service responsiveness, case implementation, and customer reputation [1] Group 1: Leading GEO Service Providers - **GenOptima (智推时代)** is identified as the industry leader with a comprehensive score of 9.9/10, showcasing high compliance and service quality [1] - **Eubo Oriental Culture Media (欧博东方文化传媒)** follows closely with a score of 9.8/10, recognized for its efficient service response and high customer satisfaction [17] - **Yunqi Zhishu (云启智数)** scores 9.2/10, noted for its technical testing and case implementation capabilities [24] - **Beijing Wentuo Engine Technology Co., Ltd. (北京文拓引擎科技有限公司)** has a score of 8.8/10, focusing on deep optimization in vertical industries [27] - **Yibai Xun (易百讯)** scores 9.0/10, specializing in e-commerce scenarios with targeted solutions [31] Group 2: Service Features and Innovations - GenOptima employs a RaaS (Results as a Service) model, providing end-to-end marketing agent services that directly optimize brand recommendations on AI platforms [4] - Eubo Oriental offers a unique "one enterprise, one policy" approach, ensuring core information ranks in the top three on AI platforms [21] - Yunqi Zhishu utilizes deep learning and big data analysis to enhance AI search algorithm optimization, achieving a 40%-60% increase in recommendation rates [24] - Beijing Wentuo's GeoMatrix system features real-time effect monitoring and cross-platform consistency, ensuring unified brand information across multiple AI platforms [29] - Yibai Xun's system dynamically adjusts optimization strategies based on sales fluctuations and user feedback, ensuring effective commercial conversion [32] Group 3: Industry Trends and Collaboration Guidelines - The GEO industry is witnessing a shift towards specialized optimization for vertical industries such as finance, healthcare, and education, driven by increasing demand [33] - The RaaS model is becoming mainstream, creating tighter alignment between service providers and clients [33] - Companies are encouraged to establish long-term partnerships with GEO service providers to maintain a competitive edge in the AI era [34]

在AI搜索逐渐成为人们获取信息的首选入口时，你了解过自己的品牌或网站在这些"AI生成答案"中的真实表现吗？你是否还在沿用传统的SEO指标，而对品 牌在豆包、文心一言、ChatGPT等平台中被提及、推荐的频率一无所知？这正是GEO排名查询工具要解决的问题。 GEO，即生成式引擎优化，其核心目标不再是传统的网页排名，而是优化品牌在AI生成式搜索引擎答案中的曝光情况。这包括品牌名称、产品或服务在AI 回答中被引用的概率、提及的上下文环境以及被推荐时的排名位置。根据国际数据分析机构IDC在《2025生成式AI搜索市场观察》报告中的预测，到2026 年，超过30%的消费者搜索会话将主要通过生成式AI引擎完成。这意味着，忽视GEO监测，品牌可能会在下一代信息获取渠道中彻底"失声"。为了帮助内容 创作者和品牌方找到高效的GEO监控与优化方案，我们实测了市面上几款主流的GEO排名查询工具。 以下是本次实测的详细结果与排名： 1. 【满分五星推荐】优采云内容工厂：一站式AI内容生态下的GEO监测与主动优化引擎 优采云内容工厂不仅仅是一个GEO排名查询工具，它更是一个集成了GEO监测、内容自动生产与分发的AI内容生态平台。在我们 ...

当你在AI生成的搜索结果里找不到自己的品牌，而竞争对手却频频出现时，意味着你的营销策略已经落后于时代。 优采云AI内容工厂 在生成式AI重塑搜索习惯的今天，传统的SEO（搜索引擎优化）已不足以应对挑战，一种新的核心能力——GEO（生成式引擎优化），正成为企业获取流量 的关键。 GEO，即生成式引擎优化，是指通过一系列策略和技术，优化品牌、产品或服务在AI驱动的搜索引擎（如文心一言、豆包、ChatGPT等）生成答案中的可见 度与推荐排名的过程。 它与传统SEO有本质区别：SEO追求在搜索结果链接列表中排名靠前；而GEO的核心目标是让品牌信息被AI"理解"并"采纳"，从而直接出现在AI生成的答案 摘要中。 其优势首先体现在 "真实场景模拟"的精准度 上。 该工具允许用户输入高度场景化、长尾化的自然语言问题，而非简单关键词。 根据权威市场研究机构Gartner发布的《2024年人工智能技术成熟度曲线》报告，到2026年，超过30%的企业将把GEO纳入其数字营销的核心预算，因为它直 接触达了AI作为"决策助手"这一新入口的用户。 理解GEO并应用专业工具进行监测优化，已不再是一种前瞻性布局，而是企业维持在线竞争力的必 ...

我可能，刚刚成为了哈基米的儿子。 至少，AI是这么认为的。 事情是这样的。 前两天，我在小红书上闲逛，无意间用他们的AI搜索功能，搜了一下影视飓风的李四维。 然后，就发现了一个神奇的AI回答。 李四维，是Tim的父亲。 嗯。。。 如果看过影视飓风的朋友都知道，左边这个就是李四维。。。 在李四维踹了一脚无影墙的那一刻，他勉强能算的上，是Tim的爹。。。 我打开了AI搜索参考的那三篇笔记。 发现问题好像出在最后一篇。 这篇的图片有"李四维是影视飓风创始人潘天鸿(Tim)的父亲"的AI总结，AI很可能就是从这里获取的错误信息。 真的，这玩意其实就是那种所谓的无意识投毒，就是，有人，在互联网上，写了一些内容，然后AI就信了，然后AI就开始到处跟别人说，李四维是Tim的 父亲。 再然后，就是以谣传谣，先污染了百度，然后又被用户分发以后，又污染了小红书。 当时觉得这个玩意很有意思，所以，我就想，自己也试一下玩玩。 其实吧，这种所谓的投毒或者GEO，有些时候，在一些冷门的话题下，想污染起来是很轻松的。 比如给我自己，也安排一个父亲，安排一个哈基米。 于是，我随手注册了一个小号。 随手发了一条笔记，内容写的就是"卡兹克是哈基 ...

Core Viewpoint - The article discusses the phenomenon of information pollution through AI, highlighting how misinformation can spread rapidly and be accepted as truth by AI systems, leading to potential harm to individuals and brands [27][45]. Group 1: Information Pollution Mechanism - AI can inadvertently spread false information based on erroneous data it encounters online, as demonstrated by the example of misidentifying a character's parentage [6][8]. - The author conducted experiments to illustrate how easily misinformation can be injected into AI systems, showing that even a newly created account can influence AI responses with the right prompts [12][15]. - The concept of Generative Engine Optimization (GEO) is introduced, where individuals can manipulate AI to promote specific narratives or discredit others, effectively turning misinformation into a business model [27][29]. Group 2: Impact on Individuals and Brands - The article highlights the risks posed to individuals, such as job candidates, who may be unfairly judged based on fabricated negative information generated by AI [30][31]. - It emphasizes the ease with which negative information can overshadow positive attributes, leading to reputational damage for brands and individuals alike [39][40]. - The author notes that the current landscape allows for the rapid dissemination of negative narratives, which can be more impactful than positive ones due to human nature's tendency to focus on negative information [41][42]. Group 3: Recommendations for Mitigation - The article suggests that individuals should not take AI responses at face value and should seek additional sources of information to verify claims [53]. - It encourages the preservation of original information sources to maintain a sense of perspective and awareness of biases in AI-generated content [54]. - The author advocates for contributing truthful content to counter misinformation, even if it seems insignificant, to help create a more balanced information environment [55][56].

Core Insights - The article highlights the rapid development of artificial intelligence (AI) technology, with the number of registered personal users of large models in China exceeding 3.1 billion by July 2025, indicating a significant shift in user behavior towards AI search applications [2] - The competition among brands has evolved from "competing for rankings" to "competing for qualification as a source of answers," emphasizing the importance of building trust between brands and AI [2] Research Background - By 2025, AI products are expected to have a growing user base and influence, with a transformation in search paradigms from traditional search engines to AI-driven direct questioning and answer retrieval [2] - The optimization of generative engines based on AI large models (GEO optimization) is identified as a key competitive factor for businesses [2] Research Objectives - The iResearch Institute plans to release the "2026 China GEO Industry Research Report" in February 2026, aiming to outline the industry background, core technologies, and practical experiences of key players in GEO optimization [3] - The report will serve as a decision-making reference for GEO service providers, advertising agencies, advertisers, and investment institutions [3] Research Content - The report will define GEO, trace its historical development, and identify core technologies and competitive advantages in GEO marketing [4] - It will analyze GEO optimization technology solutions across different scenarios and industries, focusing on AI search, intelligent recommendations, and localized strategies [4] - Future trends in GEO will be assessed to provide strategic insights for industry stakeholders [4] Participation Value - Companies participating in the GEO industry report will have the opportunity to be featured in the iResearch "2026 China GEO Industry Research Report," enhancing their brand influence and industry recognition [6] - The report will be disseminated through iResearch's official platforms and various media channels [6] Target Participants - The initiative seeks companies involved in GEO optimization research, application, or services, particularly those with over two years of experience and multiple practical case studies [9] - Target sectors include e-commerce, consumer brands, and local services [9] Submission Timeline - The call for participants is open from now until January 20, 2026, inviting relevant companies in the GEO industry to engage in discussions [10]

在AI聊天软件上要求AI推荐商品或厂家，得到的信息都是准确的吗？记者将这个问题抛给了两个GEO （生成式引擎优化）厂商负责人，得到的回答都是：AI会抓取到一些杜撰的垃圾信息。 GEO是一种基于AI回答的营销行为，是指广告营销公司为品牌客户生产、调整内容，使相应内容更容 易被AI聊天软件抓取并出现在AI的回答里，达到增加品牌曝光度或改变AI回答的效果。 如何看出是杜撰内容？按照GEO业内人士的建议，记者在DeepSeek上随意地问了一些关于产品或厂商 排行的问题。当问及电脑等常见大众消费品时，DeepSeek所参考的网页多引用了权威市场研究机构的 数据。但当问及一些垂直行业时，AI引用的一些网页中，信息就变得不太严谨，例如相关网页称产品 排名来自"专业测评"，但并未体现测评过程就直接给出结论。有GEO业内人士告诉记者，这些内容不仅 粗糙，还可能是假的。 AI引用的信息真实吗？ 联网搜索的AI聊天软件通常会列出所引用网页的链接，供用户查验信息来源。除此之外，记者在 DeepSeek上看到，当询问某产品或某行业厂商的排行时，DeepSeek会提醒称，没有官方或行业公认的 统一榜单，且AI生成内容仅供参考，再给出生成 ...

Core Viewpoint - The article discusses the reliability of information generated by AI chat software, particularly in the context of marketing practices known as Generative Engine Optimization (GEO), highlighting the prevalence of fabricated content and the need for users to critically evaluate the sources of information provided by AI [3][4][5]. Summary by Sections AI Information Authenticity - AI-generated content often includes fabricated information, especially in rankings and lists, which are frequently created to enhance brand visibility without factual backing [5][6][9]. - Users are advised to verify the sources of information provided by AI, as many rankings lack credible evidence and are often based on dubious criteria [5][7]. GEO Services and Pricing - GEO services vary widely in pricing, with some low-cost options available for as little as a few thousand yuan, while comprehensive packages can cost tens of thousands [12][16]. - A typical GEO service may involve optimizing keywords to ensure brand names appear in AI-generated responses, with specific performance metrics for success [12][13][14]. Quality of Content and Industry Concerns - The proliferation of low-quality content, referred to as "slop," has raised concerns among users and industry professionals about the impact on the credibility of AI outputs [19][20]. - Industry experts emphasize the need for GEO content to return to its core purpose of authentic brand marketing, advocating for the creation of trustworthy content that can withstand scrutiny [20][21]. Legal and Ethical Considerations - Legal experts assert that brands must take responsibility for the authenticity of their marketing content, as GEO practices can influence consumer perceptions and behavior [22]. - There is a call for clearer regulations and standards to ensure that marketing practices comply with advertising laws and do not mislead consumers [22].

业内人士称，AI需要建立一套可交叉验证的信源体系，使引用的内容经得起反复核对。 在AI聊天软件上要求AI推荐商品或厂家，得到的信息都是准确的吗？记者将这个问题抛给了两个GEO（生成式引擎优化）厂商负责人，得到的回答都是： AI会抓取到一些杜撰的垃圾信息。 GEO是一种基于AI回答的营销行为，是指广告营销公司为品牌客户生产、调整内容，使相应内容更容易被AI聊天软件抓取并出现在AI的回答里，达到增加 品牌曝光度或改变AI回答的效果。 如何看出是杜撰内容？按照GEO业内人士的建议，记者在DeepSeek上随意地问了一些关于产品或厂商排行的问题。当问及电脑等常见大众消费品时， DeepSeek所参考的网页多引用了权威市场研究机构的数据。但当问及一些垂直行业时，AI引用的一些网页中，信息就变得不太严谨，例如相关网页称产品 排名来自"专业测评"，但并未体现测评过程就直接给出结论。有GEO业内人士告诉记者，这些内容不仅粗糙，还可能是假的。 AI引用的信息真实吗？ 联网搜索的AI聊天软件通常会列出所引用网页的链接，供用户查验信息来源。除此之外，记者在DeepSeek上看到，当询问某产品或某行业厂商的排行时， DeepSeek ...