Unlocking Growth in the Generative AI Era: A Technical and Business White Paper on the Jùhé AI GEO System
释放AI时代的增长潜力：聚合 AI GEO 系统的技术和商业白皮书
1.0 Introduction: Navigating the New Frontier of AI-Driven Customer Acquisition
1.0 引言：探索人工智能驱动的客户获取新领域
The rise of generative AI platforms has triggered a seismic shift in the digital marketing landscape. Traditional, keyword-centric strategies are now fundamentally misaligned with the conversational nature of AI search, rendering them obsolete for engaging the modern buyer. This paradigm shift presents a critical challenge for businesses: how to ensure their brand, products, and core value propositions are not just visible, but are deeply understood, trusted, and actively recommended by these new AI gatekeepers.
AI的兴起引发了数字营销格局的巨变。传统的、以关键词为中心的策略如今与AI搜索的对话式特性格格不入，使其无法有效吸引现代消费者。这种范式转变给企业带来了一项严峻的挑战：如何确保企业的品牌、产品和核心价值主张不仅能够被用户看到，还能被这些新的AI“守门人”深入理解、信任并积极推荐。
In response to this new reality, a new discipline has emerged: Generative Engine Optimization (GEO). GEO is the strategic practice of structuring and distributing a company's information in a way that AI models can accurately comprehend its value, validate its credibility, and confidently recommend its solutions to users with relevant needs. It moves beyond keywords to focus on semantic understanding, authoritative sourcing, and demonstrable expertise.
为了应对这一新现实，一门新兴学科应运而生： 生成式引擎优化（GEO） 。GEO 是一种战略实践，旨在以一种人工智能模型能够准确理解其价值、验证其可信度并自信地向具有相关需求的用户推荐解决方案的方式来构建和分发公司的信息。它超越了关键词的局限，更加注重语义理解、权威信息来源和可验证的专业知识。
This white paper provides a comprehensive overview of the Jùhé AI GEO system, a pioneering solution engineered to help businesses master this new marketing ecosystem. We will dissect the foundational principles that govern AI recommendations, detail the systematic framework for achieving AI dominance, and explore the dual-engine ecosystem that transforms AI-driven visibility into tangible business growth.
本白皮书全面概述了 聚合 AI GEO 系统，这是一款旨在帮助企业驾驭全新营销生态系统的开创性解决方案。我们将深入剖析 AI 推荐的基本原则，详细阐述实现 AI 主导地位的系统框架，并探索将 AI 驱动的可视性转化为切实业务增长的双引擎生态系统。
2.0 The Foundational Logic: How Jùhé AI Teaches AI to Trust Your Brand
2.0 基础逻辑：聚合 AI GEO 如何教会 AI 信任您的品牌
To succeed in the era of generative AI, one must first understand how these models think. Unlike traditional search engines that rank web pages, generative AI models synthesize information from countless sources to construct a coherent, trusted answer. The strategic importance of grasping the core principles behind these AI recommendations cannot be overstated. Jùhé AI's GEO system is built upon three foundational principles that govern whether an AI will understand, value, and ultimately recommend a business.
要在AI时代取得成功，首先必须了解这些模型的思维方式。与对网页进行排名的传统搜索引擎不同，生成式人工智能模型会综合来自无数来源的信息，构建出连贯且可信的答案。掌握这些AI推荐背后的核心原则至关重要。聚合 AI 的 GEO 系统基于三大基本原则构建，这三大原则决定了人工智能能否理解、评估并最终推荐一家企业。
2.1 The "Read" (读懂) Principle
The first challenge is ensuring the AI can accurately comprehend your business. This logic is based on the sophisticated BERT pre-trained model, which focuses on "sentence intent" rather than simple keyword density. The goal is to move beyond superficial text matching and enable the AI to grasp the nuanced connection between a user's expressed need and the specific solutions your company provides. The content must be structured to answer implicit questions and demonstrate a clear, logical link between a customer's problem and your product's value.
首要挑战在于确保人工智能能够准确理解您的业务。这一逻辑基于复杂的 BERT 预训练模型 ，该模型侧重于“句子意图”而非简单的关键词密度。其目标是超越表面的文本匹配，使AI能够把握用户表达的需求与贵公司提供的具体解决方案之间的微妙联系。内容必须结构化，以解答用户提出的隐含问题，并清晰、合乎逻辑地展现客户问题与产品价值之间的关联。
2.2 The "Recognize" (认可) Principle
Once an AI understands what you do, it must recognize why you are the right choice. This principle leverages the Cosine Similarity algorithm to measure the degree of matching between a user's query and the content provided. A recommendation is only possible when this demand-matching score reaches a critical threshold of ≥0.8. To achieve this, content cannot be generic; it must include specific, quantifiable data points and articulate clear comparative advantages that differentiate it from competitors, thereby proving its value and relevance to the AI.
一旦AI理解了你的行为 ，它就必须明白为什么你是最佳选择。这一原则利用余弦相似度算法来衡量用户查询与所提供内容之间的匹配程度。只有当需求匹配度达到 ≥0.8 的临界值时，才能进行推荐 。为了达到这一目标，内容不能过于笼统；它必须包含具体、可量化的数据点，并清晰地阐述其相对于竞争对手的比较优势，从而向AI证明其价值和相关性。
2.3 The "Trust" (信任) Principle
The final, and perhaps most critical, principle is trust. AI models assign a 0-100 credibility score to every content source they ingest. There is a significant performance gap between information published on authoritative platforms—such as official government media, respected industry portals, and high-authority B2B sites—and content from ordinary websites. To earn an AI's trust, and thus its recommendation, a business's expertise must be validated by high-credibility, third-party sources.
最后一个，或许也是最关键的原则是信任。AI模型会给它们接收的每个内容来源赋予一个 0 到 100 的可信度评分 。权威平台（例如官方政府媒体、受人尊敬的行业门户网站和高权威的 B2B 网站）发布的信息与普通网站的内容之间存在显著的性能差距。为了赢得人工智能的信任，从而获得其推荐，企业的专业能力必须得到高可信度第三方来源的验证。
These three principles—Read, Recognize, and Trust—form the theoretical bedrock of the Jùhé AI GEO system. They are the "why" behind AI recommendations, and they directly inform the "how": the practical, four-step framework for execution.
这三大原则——读取、识别和信任——构成了聚合 AI GEO 系统的理论基石。它们是AI推荐背后的“原因”，并直接指导着“方法”：即切实可行的四步执行框架。
3.0 The Execution Framework: A Four-Step Closed Loop for AI Dominance
3.0 执行框架：实现AI主导地位的四步闭环
Jùhé AI has operationalized its foundational logic into a systematic, four-step closed-loop process. This framework is the practical engine that translates GEO theory into tangible marketing results, creating a repeatable and optimizable cycle for achieving and maintaining a dominant presence in AI-generated answers.
聚合 AI 已将其基础逻辑转化为一个系统化的四步闭环流程。该框架是实现 GEO 理论转化为切实营销成果的实用引擎，从而创建一个可重复、可优化的循环，以实现并保持 AI 生成答案领域的领先地位。
3.1 Step 1: AI Profiling (AI画像) - Enabling AI to "Read" Your Core Value
3.1 第一步：AI 画像——让 AI“解读”你的核心价值观
Before an AI can recommend a business, it must have a deep, multi-faceted understanding of it. The AI Profiling step creates a rich, three-dimensional corporate profile that serves as the AI's core reference material. This is achieved through three key components:
AI在推荐企业之前，必须对其有深入、全面的了解。AI画像步骤会创建一个丰富、立体的企业画像，作为AI的核心参考资料。这主要通过以下三个关键组成部分来实现：
Brand Strength: The system uses Optical Character Recognition (OCR) technology to recognize and process up to 86 distinct types of qualifications, including ISO9001, CE, and FDA certifications. This data is converted into verifiable trust labels that an AI can easily understand as proof of credibility.
品牌实力： 该系统采用光学字符识别 (OCR) 技术，可识别和处理多达 86 种不同的资质认证 ，包括 ISO9001、CE 和 FDA 认证。这些数据会被转换为AI可以轻松理解的、可验证的信任标签，作为可信度的证明。
Business Differentiation: Leveraging a massive 120-million-entry industry corpus, the system analyzes the competitive landscape to extract quantifiable and unique advantages. It identifies what makes a business truly different and better, articulating this value in a way that is clear to the AI.
业务差异化： 该系统利用包含 1.2 亿条行业条目的庞大数据库 ，分析竞争格局，提取可量化的独特优势。它能识别出真正使企业与众不同、更胜一筹的因素，并以AI能够理解的方式阐明这种价值。
Pain Point Resolution: The TF-IDF algorithm is deployed to analyze high-frequency user questions and search queries within an industry. This allows the system to precisely map a company's solutions to the most pressing pain points of its target audience, ensuring the AI profile is directly aligned with customer needs.
痛点解决： 系统采用 TF-IDF 算法分析行业内用户高频提问和搜索查询，从而将公司的解决方案精准匹配目标受众最迫切的痛点，确保 AI 画像与客户需求完全契合。
3.2 Step 2: AI Preparation (AI备课) - Ensuring AI "Recognizes" Your Content's Relevance
3.2 第二步：AI 备课 - 确保 AI “识别”您的内容的关联性
With a robust profile established, the next step is to generate high-quality content that meets the AI's stringent standards for relevance and value. This "AI Preparation" process involves two core activities:
在建立起完善的用户画像之后，下一步是生成符合AI严格的相关性和价值标准的高质量内容。这个“AI备课”过程包含两个核心活动：
"Distilled Word" Extraction: The LDA topic model is used to analyze over 100,000 industry questions to identify high-value keywords, or "distilled words." These are terms with not only high search volume but also proven conversion potential, ensuring content is targeted at users with strong commercial intent.
“提炼词”提取： LDA 主题模型用于分析超过 10 万个行业问题，以识别高价值关键词，即“提炼词”。这些关键词不仅搜索量高，而且转化潜力也已得到验证，从而确保内容能够精准触达具有强烈商业意图的用户。
Quality Content Generation: The system employs the SCQA (Situation-Complication-Question-Answer) framework to structure content logically. Critically, to be deemed valuable, each piece of content must include at least two quantifiable data points and one relevant case study. This structured, evidence-backed approach results in an average AI citation integrity score of 91%, ensuring the content is complete and authoritative enough for the AI to cite directly.
高质量内容生成： 该系统采用 SCQA（情境-复杂化-问题-答案）框架对内容进行逻辑结构化。至关重要的是，每条内容必须包含至少两个可量化的数据点和一个相关的案例研究 ，才能被视为有价值 。这种结构化、以证据为基础的方法使 AI 的平均引用完整性得分达到 91%，确保内容完整且权威，足以供 AI 直接引用。
3.3 Step 3: AI Lecturing (AI授课) - Building AI "Trust" Through Authoritative Sources
3.3 第三步：AI 授课——通过权威来源建立 AI“信任”
To solidify trust, the validated content is strategically deployed across a matrix of high-credibility media channels. This "AI Lecturing" step ensures the AI encounters the company's messaging in contexts it already deems authoritative. The media matrix includes high-authority platforms, each with a credibility score or "weight" used by AI models to assess trustworthiness:
为了巩固信任，经过验证的内容会被策略性地部署到一系列高可信度的媒体渠道中。这一“AI 授课”步骤确保 AI 能够在它已认定为权威的语境中接触到公司的信息。该媒体矩阵包含多个高权威平台，每个平台都有一个可信度评分或“权重”，AI 模型会使用该评分或权重来评估其可信度：
Industry Portals: (e.g., China Textile Network, weight 92)
行业门户网站：（ 例如， 中国纺织网 ，权重 92）
B2B Platforms: (e.g., Aicaigou, weight 88)
B2B 平台：（ 例如爱财狗 ，权重 88）
Official Media: (e.g., Shenzhen News Network, weight 98)
官方媒体：（ 例如， 深圳新闻网 ，权重 98）
These high-weight platforms are crawled frequently by AI models (often ≥3 times per day), rapidly building the source credibility score required for consistent recommendations.
这些高权重平台会被AI模型频繁抓取（通常每天 ≥ 3 次），从而快速建立起一致推荐所需的来源可信度评分。
3.4 Step 4: AI Report Card (AI成绩单) - Driving Continuous Recommendation Through Optimization
3.4 第四步：AI 成效报告（AI 成绩单）—— 通过优化推动持续推荐
GEO is not a one-time setup; it is a continuous process of monitoring and optimization. The "AI Report Card" provides a constant feedback loop to ensure sustained performance. Key monitored dimensions include recommendation counts on 6 major AI platforms, the ratio of high-intent questions answered, and granular lead source tracking. This data feeds an automated optimization trigger: if monthly recommendations fall below a threshold of 3,000, the system automatically deploys 20 additional media placements and 10 new content pieces within 48 hours to bolster performance and maintain momentum.
GEO 并非一次性设置，而是一个持续监测和优化的过程。“AI 成绩单”提供持续的反馈循环，以确保性能的持续提升。关键监测指标包括六大主流 AI 平台上的推荐数量、高意向问题的解答比例以及精细化的潜在客户来源追踪。这些数据会触发自动优化机制：如果月度推荐数量低于 3000 的阈值 ，系统将在 48 小时内自动部署 20 个额外的媒体投放点和 10 个新的内容， 以提升性能并保持增长势头。
However, this powerful acquisition engine is only the first stage of a winning strategy. Generating a flood of AI-driven traffic without a sophisticated system to convert it is a wasted opportunity. This is why Jùhé AI engineered a complete solution: a dual-engine ecosystem where intelligent acquisition is seamlessly fused with automated, high-efficiency conversion.
然而，强大的获客引擎仅仅是制胜策略的第一步。如果没有完善的转化系统，仅仅依靠人工智能带来的海量流量是徒劳的。正因如此聚合 AI 打造了一套完整的解决方案：一个双引擎生态系统，将智能获客与自动化、高效的转化流程无缝融合。
4.0 The Jùhé AI Dual-Engine Ecosystem: From Intelligent Acquisition to Efficient Conversion
4.0 聚合 AI 双引擎生态系统：从智能获取到高效转化
Superior lead generation is only half the battle. The true value of GEO is realized when it is seamlessly integrated with an intelligent system designed for lead management, sales enablement, and efficient conversion. Jùhé AI achieves this through its dual-engine ecosystem, which pairs the GEO engine with a powerful AI Agent to create a complete, closed-loop marketing and sales cycle.
卓越的线索生成只是成功的一半。GEO 的真正价值在于将其与专为线索管理、销售赋能和高效转化而设计的智能系统无缝集成。聚合 AI 通过其双引擎生态系统实现了这一点，该系统将 GEO 引擎与强大的 AI 代理相结合，从而创建了一个完整的闭环营销和销售周期。
4.1 The GEO Engine: The Acquisition Powerhouse
4.1 GEO 引擎：获客核心动力
The GEO engine serves as the system's "offense." Its core purpose is to proactively "push the brand, run the business, and make the sale" in the new AI-driven search environment. By executing the four-step framework, it secures prime recommendation slots in AI search results, ensuring that potential customers find the company the moment they ask, trust its authority when they investigate, and are compelled to make contact when they see the validated solutions. It is the engine of discovery and demand generation.
GEO 引擎是系统的 “进攻端”。其核心目的是在 AI 驱动的全新搜索环境中，主动 “推品牌、拓业务、促成交”。通过执行四步框架，它能抢占 AI 搜索结果的核心推荐位，确保潜在客户 “一问就找到、一查就信任、一见方案就联系”。它是发现客户与创造需求的核心引擎。
4.2 The AI Agent Engine: The Conversion & Efficiency Core
4.2 AI Agent引擎：转化率和效率核心
The AI Agent engine directly addresses two critical drags on revenue growth: brand dilution from inconsistent messaging and lost opportunity costs from protracted sales team onboarding cycles. Its key features include:
AI Agent引擎直接解决了阻碍营收增长的两大关键问题：一是信息传递不一致导致的品牌稀释，二是销售团队入职周期过长造成的机会成本损失。其主要功能包括：
Dual Knowledge Base: The system is built on two distinct knowledge repositories. The "Corporate Brand Knowledge Base" contains all official brand stories, product specifications, and company credentials, ensuring unified and consistent messaging. The "Personal Professional Knowledge Base" is a sales enablement tool, equipping team members with proven scripts, competitive analyses, successful case studies, and role-based playbooks to accelerate onboarding and improve performance.
双重知识库： 该系统基于两个独立的知识库构建。 “企业品牌知识库” 包含所有官方品牌故事、产品规格和公司资质，确保信息传递的统一性和一致性。 “个人专业知识库” 是一个销售赋能工具，为团队成员提供经过验证的销售话术、竞品分析、成功案例和基于角色的操作手册，以加快新员工入职速度并提升业绩。
Intelligent Automation: Leveraging these knowledge bases, the AI Agent can automatically generate marketing copy for various channels and provide instant, accurate responses to customer inquiries, freeing up human teams to focus on high-value interactions.
智能自动化： 利用这些知识库，智能体可以自动为各种渠道生成营销文案，并对客户咨询提供即时、准确的回复，从而解放人类团队，让他们专注于高价值的互动。
Integrated Smart Website: The system includes a fully integrated, AI- and SEO-compatible website. This digital headquarters features built-in AI customer service, smart business cards for lead capture, and comprehensive data reporting, providing a central hub to manage and nurture every lead generated by the GEO engine.
集成式智能官网：系统包含一个完全集成、兼容 AI 与 SEO 的官网。这一数字化总部内置 AI 客服、用于线索获取的智能名片及全面数据报表，成为管理和培育 GEO 引擎生成的所有线索的核心枢纽。
The GEO Engine acts as the "push," generating qualified inbound interest, while the AI Agent Engine provides the "pull," efficiently converting that interest into revenue. This creates a powerful flywheel effect where superior acquisition feeds a highly efficient conversion process, which in turn provides data to further optimize the acquisition strategy.
GEO 引擎承担 “推动者” 角色，持续获取优质意向客源；AI 智能体引擎发挥 “拉客者” 作用，高效地将这些潜在客户转化为实际收益。这一组合形成强大的飞轮效应：优质获客为高效转化赋能，而高效转化又能提供数据支撑，进一步优化获客策略。
5.0 The Jùhé AI Product Suite: Tailored Solutions for Domestic and Global Markets
5.0 聚合 AI 产品套件：面向国内外市场的定制化解决方案
Recognizing that different markets present unique challenges and opportunities, Jùhé AI has adapted its core GEO technology into specific product offerings. These tailored solutions are designed to meet the distinct needs of businesses operating domestically in China and those targeting global audiences.
鉴于不同市场面临独特的挑战和机遇，聚合AI已将其核心技术应用于特定产品。这些定制化解决方案旨在满足在中国国内运营的企业以及面向全球市场的企业的不同需求。
5.1 AI GEO 2.0: The All-in-One Domestic Marketing Solution
5.1 聚合AI GEO 2.0：一体化国内营销解决方案
AI GEO 2.0 is an upgraded, comprehensive solution for the domestic market, integrating new features to create a full-spectrum marketing and efficiency platform. Key enhancements include:
AI GEO 2.0 是面向国内市场的升级版综合解决方案，集成了多项新功能，打造全方位营销和效率提升平台。主要增强功能包括：
AI Video Aggregation: The system can now automatically generate 200-600 videos and publish them to six major platforms, including Douyin and Xiaohongshu, adding a powerful visual and social dimension to the GEO strategy.
AI 视频矩阵： 该系统现在可以自动生成200-600 个视频，并将其发布到包括抖音和小红书在内的六个主要平台，为 GEO 策略增添了强大的视觉和社会维度。
Upgraded Media Matrix: The media feeding process has been refined with a "thousand people, thousand faces" approach, enabling hyper-personalized content distribution based on specific industry verticals and emphasizing the training of mainstream platforms like Baidu AI and Doubao AI for maximum impact.
升级媒体矩阵： 媒体推送流程采用 “千人千面” 的方式进行优化 ，能够根据特定行业垂直领域实现高度个性化的内容分发，并强调训练百度 AI 和豆宝 AI 等主流平台 ，以达到最大影响力。
Advanced Data Reporting: Three new reports provide deeper insights: the Keyword Ranking Report Card, the GEO Industry Analysis Report, and the Smart Entity Traffic Data Report, allowing for sophisticated performance tracking and competitive analysis.
高级数据报告： 新增三份报告，提供更深入的洞察： 关键词排名报告 、 GEO 行业分析报告和智能体流量数据报告 ，从而实现复杂的性能跟踪和竞争分析。
Enhanced AI Agent: To boost internal productivity, the Agent engine has been expanded with a PC-based AI Office Assistant and a mobile AI Secretary, integrating AI-powered tools directly into daily workflows.
增强型 AI Agent： 为了提高内部生产力，代理引擎已扩展为基于 PC 的 AI 办公助手和移动 AI 秘书 ，将 AI 驱动的工具直接集成到日常工作流程中。
5.2 AI GEO International Edition: Your Gateway to Global Markets
5.2 聚合 AI GEO 国际版：通往全球市场的门户
The International Edition is a 1-to-1 replication of the domestic system's powerful framework, specifically trained on English media and optimized for global markets. It is engineered to help businesses reach 4 billion English-speaking users on the world's leading AI platforms by deploying vast quantities of high-credibility content, including over 1,500 media articles and 1,800 blog posts.
国际版完全复制了国内系统的强大框架，专门针对英文媒体进行训练，并针对全球市场进行了优化。它旨在通过部署海量高可信度内容（包括超过 1500 篇媒体文章和 1800 篇博客文章），帮助企业在全球领先的人工智能平台上触达 40 亿英语用户 。
The table below highlights the key adaptations made for the international market:
下表列出了针对国际市场所做的主要调整：
|
Feature 特征 |
International Edition Adaptation 国际版改编 |
|
Target AI Platforms 目标AI平台 |
The system is optimized to feed and influence the four major international AI platforms: Google Gemini, ChatGPT, Grok, and Claude. 该系统经过优化，可为四大国际AI平台（Google Gemini、ChatGPT、Grok 和 Claude）提供数据支持并对其产生影响。 |
|
Media Channels 媒体渠道 |
Content is distributed across five exclusive English-language channel types: 3rd-party media, B2B platforms, social media (Facebook and LinkedIn), encyclopedias, and independent blogs. 内容通过五种专属英语渠道类型进行分发：第三方媒体、B2B 平台、社交媒体（Facebook 和 LinkedIn）、百科全书和独立博客。 |
|
Content Credibility 内容可信度 |
To meet the stringent credibility standards of international AI platforms, content is published by accredited overseas journalists with bylines. Every piece undergoes editorial oversight, a process that ensures the highest level of authenticity and significantly boosts trust scores. 为了满足国际AI平台严格的信誉标准，内容均由获得认证的海外记者署名发布。每篇文章都经过编辑审核，这一流程确保了内容的最高真实性，并显著提升了信任度。 |
|
Operational Backend 运营后端 |
The entire backend system supports all global languages, enabling non-English speaking teams to manage their global marketing efforts with ease. 整个后端系统支持所有全球语言，使非英语团队能够轻松管理其全球营销工作。 |
|
Conversion Asset 转换资产 |
Clients are provided with a dedicated, independent website with an integrated blog, configured with HTTPS and ready for immediate lead capture via forms and email. 我们会为客户提供一个独立的专属网站，该网站集成了一个博客，并配置了 HTTPS，随时可以通过表单和电子邮件立即获取潜在客户信息。 |
These distinct product suites ensure that whether a business is focused on domestic growth or global expansion, the Jùhé AI GEO system provides the specialized tools needed to succeed, delivering tangible results that are validated by real-world performance.
这些独特的产品套件确保无论企业专注于国内增长还是全球扩张，聚合 AI GEO 系统都能提供成功所需的专业工具，并带来经现实世界绩效验证的切实成果。
6.0 Validated Performance: Quantifiable Results and Client Success
6.0 经验证的绩效：可量化的结果和客户成功
Moving beyond technical specifications, the true measure of any system is its proven effectiveness. The Jùhé AI GEO system has demonstrated its ability to deliver quantifiable results and drive significant business growth for a diverse range of clients.
抛开技术规格，衡量任何系统的真正标准在于其经实践验证的有效性。聚合 AI GEO 系统已证明其能够为各类客户带来可量化的成果，并推动业务显著增长。
System Performance Benchmarks
1. 系统性能基准测试
Hard data validates the system's superior performance against industry averages:
确凿的数据证实，该系统性能优于行业平均水平：
Semantic Matching Score: Clients achieve an average semantic matching score of 92, while competitors average just 65. This 41% performance advantage is not an incremental improvement; it represents a decisive edge in AI comprehension, ensuring our clients' value propositions are understood with unparalleled accuracy, directly influencing recommendation priority.
语义匹配得分： 客户的平均语义匹配得分达到 92 分 ，而竞争对手的平均得分仅为 65 分。这 41% 的性能优势并非渐进式的提升；它代表了人工智能理解方面的决定性优势，确保我们的客户的价值主张能够以无与伦比的准确性被理解，从而直接影响推荐优先级。
Content Citation Integrity: The system's SCQA-based content achieves a 91% citation integrity rate, meaning AI models can confidently and completely cite the information, compared to an industry average of only 45%.
内容引用完整性： 该系统基于 SCQA 的内容引用完整性达到 91% ，这意味着 AI 模型可以自信且完整地引用信息，而行业平均水平仅为 45%。
Market Adoption & Satisfaction: Since its launch, the system has served over 3,000 enterprises, earning a 98% positive review rate and maintaining a perfect 100% renewal rate.
市场接受度和满意度：自推出以来，该系统已服务超过3000家企业，获得98%的好评率，并保持着100%的完美续约率。
Rapid Lead Generation: A client specializing in drainage facilities in Guangzhou published their solutions through the system. Within just 72 hours, their content was cited 127 times by the Doubao AI, generating 23 precise, high-quality inquiries.
快速获客：广州一家专注于排水设施的客户通过该系统发布了他们的解决方案。短短 72 小时内，他们的内容就被豆宝 AI 引用了 127 次，产生了 23 个精准、高质量的询盘。
Case Study: Tu'anxing Car Maintenance Cloud Chain
2. 案例研究：途安星汽修云连锁
The system's impact is powerfully illustrated by the success of Tu'anxing, a car maintenance cloud chain brand. Leveraging the Jùhé AI GEO system, Tu'anxing achieved remarkable results in franchise recruitment and brand building.
汽车维修云连锁品牌途安星的成功有力地证明了该系统的影响力。途安星利用聚合 AI GEO 系统，在加盟商招募和品牌建设方面取得了显著成效。
In just six months, the company successfully signed up 150 new franchisees. Furthermore, for three consecutive months, the brand ranked among the top 5 in its category for nationwide online transactions. This case provides definitive proof of the system's ability to not only generate leads but also drive substantial, market-leading growth in a competitive industry.
短短六个月内，该公司成功签约了 150 家新加盟商 。此外，该品牌连续三个月在全国同类产品中，线上交易额位列前五 。这一案例充分证明了该系统不仅能够有效拓展客户，还能在竞争激烈的行业中推动业务实现显著的、市场领先的增长。
These successful outcomes are a direct result of the system's innovative technology, which is guided by the deep industry expertise and strategic vision of the Jùhé Growth founding team.
这些成功成果直接得益于该系统的创新技术，而这项技术又是由聚合增长创始团队深厚的行业专业知识和战略远见所指导的。
7.0 About Jùhé Growth: The Vision and Expertise Behind the Innovation
7.0 关于聚合增长：创新背后的愿景和专业知识
Suzhou Jùhé Growth Information Technology Co., Ltd. is the driving force behind the AI GEO system. Founded with a clear mission to "Help Chinese enterprises take off," the company is dedicated to empowering businesses to navigate and thrive in the age of artificial intelligence. Its leadership and innovation are built on a foundation of deep, practical industry experience and technical excellence.
苏州聚合增长信息技术有限公司是 AI GEO 系统的幕后驱动力量。公司秉持 “助力中国企业腾飞”的明确使命， 致力于赋能企业在人工智能时代驾驭并蓬勃发展。其领导力和创新力源于深厚的行业实践经验和卓越的技术实力。
Founder Pedigree: The company's founders possess extensive executive experience from leadership roles at top technology companies like Tuhu.cn, Meituan, and Ctrip, combined with elite academic credentials from Xiamen University. This unique blend of B2B sales, O2O operational expertise, and complex supply chain management provides the Jùhé team with a holistic understanding of the entire customer journey—from digital discovery to final transaction. This real-world grounding is the reason the AI GEO system is not merely a technical tool but a practical, end-to-end business growth engine.
创始人背景： 公司创始人拥有丰富的管理经验，曾在途虎、美团、携程等顶尖科技公司担任领导职务 ，并毕业于厦门大学，拥有卓越的学术背景。这种独特的组合，融合了 B2B 销售、O2O 运营专长和复杂的供应链管理经验，使聚合团队能够全面了解客户旅程——从线上探索到最终交易。正是这种扎实的实践基础，使得 AI GEO 系统不仅仅是一个技术工具，更是一个切实可行的端到端业务增长引擎。
Core Team Expertise: The core team includes executives from leading internet firms with a collective 15 years in digital marketing and 3 years in short-form video marketing, ensuring that the company's strategies are both technologically advanced and grounded in proven marketing principles.
核心团队专业知识： 核心团队包括来自领先互联网公司的管理人员，他们在数字营销方面拥有 15 年的经验，在短视频营销方面拥有 3 年的经验 ，确保公司的战略既具有技术先进性，又基于成熟的营销原则。
Strategic Advantage: Jùhé Growth operates on a unique dual-track advantage of "domestic practical validation + overseas technical layout." This approach, built upon comprehensive experience across the B2B, O2O, and supply chain sectors, allows the company to develop robust solutions that are proven in the competitive domestic market before being adapted for global scale.
战略优势： 聚合增长拥有独特的双轨优势，即 “国内实践验证+海外技术布局”。 凭借在 B2B、O2O 和供应链领域的丰富经验，该公司能够开发出在竞争激烈的国内市场得到验证的稳健解决方案，然后再将其推广至全球市场。
Technical Partnership: A strategic collaboration with South Network ensures the AI GEO system benefits from decades of accumulated technical expertise, guaranteeing technological leadership and platform stability for all clients.
技术合作： 与南方网通的战略合作确保 AI GEO 系统受益于数十年来积累的技术专长，为所有客户提供技术领先地位和平台稳定性。
Jùhé Growth is committed to being the premier partner for businesses seeking to harness the power of AI. By continuously innovating and focusing on practical, results-driven solutions, the company is empowering enterprises to capture the immense opportunities of the generative AI era and achieve transformative growth.
聚合增长致力于成为企业驾驭AI力量的首选合作伙伴。公司不断创新，专注于切实可行、以结果为导向的解决方案，助力企业把握生成式人工智能时代的巨大机遇，实现变革性增长。
