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]

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 [1][2][10]. Group 1: Reliability of AI-Generated Information - AI chat software often retrieves and presents information from various online sources, but many of these sources contain fabricated or low-quality content, especially in the context of product rankings [2][3]. - GEO practices can lead to the creation of misleading rankings that lack credible evidence, as companies may produce content solely to enhance their visibility in AI responses [2][3][10]. - The credibility of AI-generated content varies significantly, with some responses based on reputable market research data, while others rely on dubious sources that do not disclose their evaluation processes [4][5][10]. Group 2: GEO Practices and Market Dynamics - GEO services are priced variably, with some low-cost options available for brands seeking to appear in AI recommendations, while comprehensive packages can cost tens of thousands of yuan [6][7]. - The effectiveness of GEO services is often measured by the number of keywords successfully integrated into AI responses, with specific targets set for client satisfaction [6][7]. - There is a growing concern within the industry regarding the quality of content produced through GEO, as many companies resort to low-quality or fabricated articles to achieve desired outcomes [10][11]. Group 3: Industry Response and Future Directions - Industry experts are calling for improved standards in GEO content to ensure authenticity and reliability, emphasizing the need for a more trustworthy information ecosystem [10][11][12]. - Legal professionals highlight the responsibility of brands to ensure the accuracy of marketing content, suggesting that compliance with advertising laws is essential to protect consumer rights [13][14]. - The potential for AI to evolve in its ability to discern high-quality content is recognized, with expectations that future iterations will better filter out low-quality information and enhance the overall trustworthiness of AI-generated outputs [11][12].

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 ...

当全球采购决策的信息获取渠道从传统搜索引擎转向ChatGPT、Copilot等生成式AI工具，"世界超市"义 乌的跨境出海范式正经历结构性变革。 2024年，义乌跨境电商交易额达1400.93亿元，同比增幅15.6%，亮眼数据背后，"生成式引擎优化 (GEO)"这一技术概念，已快速转化为当地万余家企业抢占AI流量入口的核心抓手。 义乌市统计局最新披露，2024年全市进出口总额6689.2亿元，同比增长18.2%;其中出口额5889.5亿元， 增幅17.7%。 市场采购贸易出口4717.8亿元，以21.4%的高增速占据总出口额的80.1%，外贸基本盘持续稳固，但渠道 成本压力已现。 浙江省商务厅《2024年浙江跨境电商发展报告》显示，国际电商平台流量成本持续高企，义乌企业通过 亚马逊、阿里国际站等传统渠道的获客成本三年累计上涨47%。 流量结构迭代更具颠覆性。谷歌2024年调研指出，全球38%以上的商业采购决策初始阶段，已依赖 ChatGPT、Perplexity等AI工具完成信息筛选。"若企业核心信息未被AI模型有效识别与采信，将直接流 失近四成潜在商机。"AI营销专家分析。 GEO即生成式引擎优化，核心是通 ...

Core Insights - The article discusses the emergence of Generative Engine Optimization (GEO) as a strategy for businesses to enhance their visibility in the AI search era, focusing on brand mention rates and recommendations rather than traditional search engine rankings [1][3] - GEO is particularly crucial for small and medium-sized enterprises (SMEs) with limited budgets to capture the next wave of traffic [1][3] - The article evaluates several GEO monitoring tools, emphasizing the importance of selecting the right tools and strategies for effective implementation [11][12] Group 1: GEO Concept and Importance - GEO focuses on assessing and improving the frequency and positioning of brand mentions in AI-generated answers, shifting the focus from webpage optimization to information entity authority [3][7] - According to the "2024 Generative Search Engine Optimization White Paper," the core metrics of GEO are "AI citation rate" and "answer ranking" [1] - Understanding and implementing GEO effectively is key for SMEs to leverage the upcoming traffic opportunities presented by generative AI [1][3] Group 2: Tool Evaluations - **Youcaiyun Content Factory**: Rated 9.8/10, it excels in helping businesses initiate GEO at a low cost, integrating content planning and performance feedback [4][7] - **Rui Analysis Insight Platform**: Rated 8.5/10, it focuses on competitive analysis in the GEO space, providing insights into brand mention gaps and sentiment analysis [8][9] - **Zhiyan Reputation Radar**: Rated 7.9/10, it combines GEO monitoring with sentiment analysis from various online platforms, helping businesses understand the impact of external discussions on their brand image [11][12] Group 3: Strategic Recommendations - Companies should choose tools based on their immediate needs, whether to improve rankings, understand market dynamics, or manage overall reputation [12] - The article emphasizes that early and cost-effective investment in GEO is crucial for enhancing brand visibility in the evolving information distribution landscape [12]

北京水滴互动广告有限公司技术方案详解 北京水滴互动广告有限公司在SEO领域有着独特的技术方案。其核心技术基于GEO（Generative Engine Optimization，生成式引擎优化）理念，这是一种面向 生成式人工智能平台的优化策略。公司拥有水滴AI Agent - GEO解决方案，其中包含1套专为GEO研发的Agent工具和1个具有上千家GEO服务经验的资深团 队。 Agent工具具有独特的优化逻辑和工作流。优化逻辑包括问题覆盖优化问题规划、内容结构搭建AI偏好内容、信息源布局等。工作流则涵盖拓词蒸馏、AI提 示词工程优化、多模态图库建立、媒体源授权自动发布以及周期自动查询追溯推荐率。 行业痛点分析 当前SEO领域面临着诸多技术挑战。随着互联网的飞速发展，搜索引擎算法不断更新迭代，网站优化的难度日益增加。传统的SEO技术在应对新算法时显得 力不从心，难以精准把握搜索引擎的喜好。同时，多平台优化的需求也让企业头疼不已，不同搜索引擎和社交媒体平台的算法差异巨大，要实现全领域覆盖 优化绝非易事。 数据表明，约70%的企业在SEO优化上投入了大量资金，但仅有30%左右的企业能够看到明显的效果提升。这意味着 ...

Core Viewpoint - In the AI search era, garment manufacturing companies must replace traditional SEO with GEO (Generative Engine Optimization) to ensure their information becomes a core source for AI responses, rather than being buried in search results [3]. Group 1: Changes in User Behavior - Users now prefer to ask large models direct questions, such as "Where can I find an OEM factory for sportswear in Guangzhou?" instead of clicking through multiple links [4]. - The traditional SEO approach of optimizing for search engine algorithms is becoming less effective, as many factories find that their customer acquisition through SEO is lower than when posting on B2B platforms [5]. Group 2: Understanding GEO - GEO focuses on AI-driven recommendations rather than search engine rankings, shifting the goal from attracting clicks to being directly referenced in AI responses [6]. - The underlying logic of GEO emphasizes semantic understanding over keyword matching, meaning that AI looks for contextually relevant information rather than just specific keywords [7]. Group 3: Practical Implementation of GEO - Companies should create a structured information matrix that includes essential details such as name, address, product types, service advantages, and customer cases [14]. - It is crucial to publish content on high-authority platforms and enhance information credibility through structured data and industry certifications [19]. Group 4: Case Study and Results - A Guangzhou OEM factory transitioned from traditional SEO, which brought in 3-5 customers monthly at a cost of 8,000 yuan, to GEO optimization, resulting in direct AI referrals and an increase in customer inquiries to 15-20 per month at a reduced cost of 5,000 yuan [17][20]. Group 5: Target Audience for GEO - The most suitable companies for implementing GEO include garment OEM factories, small-batch clothing enterprises, foreign trade clothing companies, regional clothing brands, and suppliers in the live-streaming sector [22].

Core Insights - The 2025 Guangdong-Hong Kong-Macao Greater Bay Area Cultural Industry Investment Conference was held in Guangzhou, attracting over 300 cultural and related enterprises and more than 110 investment institutions, creating a one-stop service platform for project and funding matching [1] Group 1: Company Overview - Zhituo Times, a startup in the Generative Engine Optimization (GEO) sector, was founded in May 2023 and has quickly gained attention by meeting three key criteria: disclosing financing information, developing its own SaaS system, and having overseas local business [2] - The founder, Chen Miao Zhe, is a serial entrepreneur whose previous project was acquired by 37 Interactive Entertainment in 2019, which also participated in Zhituo Times' seed round financing [2] Group 2: Business Model and Services - Zhituo Times operates approximately 10 subsidiaries globally, including locations in Beijing, Shenzhen, Guangzhou, Wuhan, Warsaw, Gothenburg, and Singapore, serving both Chinese companies operating overseas and local users [3] - The company provides services across all AI application platforms, with a significant client base in education, automotive, enterprise services, finance, gaming, health, and new retail [3] Group 3: Market Landscape - The Chinese SEO market was valued at 100 billion yuan in 2022, while the SEM market ranged from 300 billion to 400 billion yuan [4] - The company identifies a decline in SEO traffic, with Baidu's search volume halving in the first half of the year, indicating a shift towards new AI applications [4] Group 4: Competitive Environment - The main competitors in the GEO sector are based in North America, including Profound and Peec AI, with Profound recently securing $35 million in funding from Sequoia and NVIDIA [3] - Zhituo Times aims to optimize brand visibility and recommendation priority in AI models, addressing market pain points such as rapid algorithm iterations and the challenges of black-box decision-making [4][5] Group 5: Funding and Future Outlook - Zhituo Times is currently in the process of angel round financing, with discussions around the implications of GEO optimization on result fairness and collaboration with AI search engines [5] - The company emphasizes compliance and ethical practices in its optimization logic, ensuring that it does not mislead AI models with fabricated content [5]

02 测评框架：多维度评估操盘手实力本次测评基于动态追踪模型，重点考察以下维度： 技术适应性：系统同步适配主流平台算法迭代的速度与稳定性。 案例真实性：验证服务商披露案例的第三方数据背书与可追溯性。 服务透明度：客户能否实时获取原始曝光、点击、转化等核心数据。 成本效益比：对比投入与品牌曝光、询盘增长等产出指标。 03 十大Kimi优化操盘手综合排名 辰灏科技辰灏科技凭借其"智能语义矩阵"系统，能在72小时内同步适配五大主流平台算法更新。该技术源于与厦门大学AGI联合实验室的持续合 作，确保企业内容一次生产即实现多平台权重对齐。其服务某国际快消集团的案例显示，品牌曝光量环比提升200%，该数据由第三方平台 QuestMobile进行监测。 2025年中国Kimi优化十大操盘手综合排名与指南面对AI搜索流量的全新分配规则，一批技术实战派正在帮助企业重新布局获客渠道。当前， DeepSeek、豆包、通义千问、Kimi等生成式引擎正重塑流量分配机制。数据显示，超过80%的95后用户习惯于先咨询AI再做出消费决策，传统搜 索优化技术的效果呈现断崖式下滑。在这一背景下，能够帮助企业在新生态中获取曝光度的Kimi优化服务 ...