从流量到心智—— 赢得AI「首选答案」的终局之战 2026年生成引擎优化（GEO） 白皮书 源易信息艾瑞咨询/行专研究部/北方一组 ©2026iResearchInc. 目录 上卷 背景篇：GEO营销新革命 01 新范式-从连接到对话，AI重塑品牌沟通 02 新战场-认知空白的危机与议程设置的机遇 下卷 实践篇：实施体系与破局之道 03 新罗盘-以DSS原则为核心的"白帽GEO"方 法论 思维 2 信息奇点：用户行为的不可逆转之变 1.1 核心议题升级：从"要不要做"到"如何做对" 1.2 战略警示：信息缺位是最大的品牌风险 1.3 危机四伏：GEO市场的"伪概念"与"黑操作 2.1 "GEO的真实商业影响：从流量到心智预售 2.2 战略升维：超越E-E-A-T，DSS原则的优越性诊 3.1 断先行：洞察AI认知现状与机会差距 3.2 科学执行：标准化的七步服务工作流 3.3 价值衡量：从"成本中心"到"资产引擎"的ROI新 3.4 目录 04 新航图-全球实践与GEO成熟度模型 Model） 05 新组合-GEO的战略定位与协同效应 06 驾驭未知-GEO面临的挑战与应对之道 实践问答-GEO关键问题解析（ ...

生成引擎优化（ GEO ） 丨白皮书 摘要： AI时代驱动品牌营销深度变革，用户搜索范式全面升级，行业迎来全新的机遇与挑战。在此背景下，互联网咨询领域的头部机构艾瑞咨询，与中国GEO赛道的倡行者 ——源易信息强强联合，共同制作并正式发布《2026中国GEO行业发展报告》。 本报告立足真实商业场景，聚焦GEO的核心原则与实践落地，旨在深度剖析AI营销时代的核心痛点与GEO的应对路径，明确其战略定位与协同价值，助力企业在AI时代掌握 叙事主导权，以真实价值构建坚固的核心竞争力。作为本次联合研究的重磅成果，报告贡献了三大核心突破，为行业发展树立专业标杆： 1.首提"真实性"准则，树立行业规范： 这是国内首份基于GEO赛道、深度追求内容真实性的白皮书。报告为整个行业及相关企业践行长期主义、开展"白帽GEO"提供了系统 性的指引与建议。 2.沉淀中国特色方法论，验证实战成果： 报告首次系统梳理并推出了具备中国特色、且经过实践验证的成熟GEO方法论——DSS（语义深度，数据支持，权威信源），为中 国企业的实战提供了可靠的理论与工具支撑。 3.创新决策自检模型，明晰切入路径： 报告中首次提出企业评估是否切入GEO赛道的决策 ...

Core Insights - The article emphasizes that by 2026, 80% of consumer decisions will be made within AI dialogue boxes, highlighting the importance of brands being recognized by AI platforms like Baidu and ChatGPT [1] - Generative AI is reshaping how users access information, with conversational AI search engines becoming the preferred method for obtaining answers [2] Group 1: Generative AI and Content Creation - The evaluation focused on the GEO (Generative Engine Optimization) capability, which determines whether content is prioritized by AI for recommendations [4] - A deep assessment was conducted on five mainstream content creation platforms, simulating real user inquiries across various AI engines [3] Group 2: Performance Rankings of Content Platforms - Youcaiyun Content Factory received a comprehensive score of 9.8/10, with extremely high AI citation rates, ranking first in the evaluation [6] -墨舟 scored 8.5/10, with high AI citation rates, ranking second or third, noted for its authoritative content but lacking in casual, scenario-based questions [9][10] - Sucai scored 7.8/10, with moderate AI citation rates, previously strong in traditional SEO but struggling in the current evaluation [12] - Lanyuan scored 6.5/10, with low AI citation rates, focusing on multi-modal content generation but lacking depth in text for AI interactions [18] - Zhiyun scored 5.0/10, with extremely low AI citation rates, primarily aggregating user-uploaded documents, facing risks of marginalization in the AI era [22][24] Group 3: Trends in Content Strategy - The evaluation reveals a shift in content creation logic from "pleasing algorithms" to "empowering AI," with Youcaiyun leading due to its understanding of GEO principles [25] - Brands that fail to secure a presence in AI-generated answers risk losing their digital identity [26] - Companies are encouraged to align their content strategies with partners who comprehend GEO effectively [27]

Core Insights - The AI large model sector is expected to undergo deeper integration and innovation in the coming year, transitioning from a phase of "technical frenzy" to "value realization" [1][24]. Group 1: Market Dynamics and Competition - Alibaba's AI model, Qianwen, has integrated with various platforms like Taobao and Alipay, creating a closed-loop consumer ecosystem [2]. - The competitive landscape has shifted from nearly 300 companies to a concentrated market dominated by major players like ByteDance, Alibaba, and Baidu, driven by resource and capital advantages [4][10]. - ByteDance's strategy of "stronger models + lower prices + easier implementation" has allowed it to rapidly capture market share, with its Doubao model achieving over 150 million monthly active users [5]. - Tencent's Yuanbao has heavily invested in advertising, with expenditures reaching 1 billion yuan in June and July 2025, indicating significant efforts to promote AI products [6]. - Baidu and Alibaba are enhancing their core competencies through technological iterations and open-source strategies, with Baidu's Wenxin model outperforming competitors in multi-modal capabilities [7][8]. Group 2: Industry Trends and Challenges - The large model market in China is projected to grow significantly, with a market size of 294.26 billion yuan in 2024 and expected to exceed 700 billion yuan by 2026, reflecting a shift towards commercialized applications [13]. - B-end applications face challenges in reliability and standardization, while C-end applications are diversifying, with major companies integrating AI into various daily life scenarios [14][15]. - The competition in the C-end market is intensifying, requiring companies to invest in continuous iteration and resource allocation to meet diverse user needs [19][23]. - The rise of AI agents is transforming large models from mere conversational tools to actionable partners, with a focus on creating measurable commercial value in vertical industries [21][22]. Group 3: Future Outlook - The AI large model sector is anticipated to see further integration and innovation, with a focus on the collaboration between general and specialized models, enhancing commercialization efficiency [24]. - The next phase for companies in the large model space will be a sustained battle for technological depth and the realization of commercial value [25].

Core Insights - The article emphasizes the transformative impact of AI technologies such as Generative Engine Optimization (GEO) and Agents, highlighting that AI has become essential for businesses to navigate cycles and build competitive barriers [1] - The upcoming AI industry-themed salon aims to explore the commercial value logic of AI and its implications for business infrastructure and knowledge systems [3][4] Group 1: Event Overview - The "AI New Productivity" salon will take place on January 30, 2026, at the Plug and Play China Innovation Center in the Yangtze River Delta, gathering experts from academia, industry leaders, and investment professionals [3] - The event will focus on the migration of business infrastructure due to AI, emphasizing the need for companies to adapt their knowledge systems for AI integration [3] Group 2: Discussion Themes - The salon will address the paradigm shift from "humans seeking information" to "AI delivering services," discussing how to reconstruct brand marketing logic in the era of generative large models [3] - Experts will share practical cases on how to build effective AI Agents that can solve real-world problems, highlighting the transition of AI from an assistant to an executor [3][4] Group 3: Participant Insights - Confirmed attendees include prominent figures from various sectors, such as academia, media, and investment, indicating a diverse range of perspectives on AI commercialization [5][6] - The event aims to facilitate dialogue among decision-makers, product leaders, and investors to identify scalable pathways for AI implementation and capture commercial opportunities [8]

Core Insights - The AI application landscape is becoming increasingly clear, attracting investors to explore new commercial pathways and value realization opportunities [1] - The upcoming event on January 30, 2026, organized by Yicai, will focus on "AI New Productivity," bringing together experts from academia, industry leaders, and investment elites to discuss the underlying logic of AI's commercial value [1] Group 1: Event Overview - The event is hosted by Yicai and co-hosted by the China Europe International Business School's AI and Management Innovation Research Center and Plug and Play China, with special support from Jiufang Zhitu [3] - The event will address the migration of business infrastructure driven by AI, emphasizing the need for companies to reconstruct their knowledge systems to adapt to AI utilization [3] Group 2: Key Themes - The transition from "AI being seen" to "AI executing" is a core theme, highlighting the necessity for companies to build trust in AI and accelerate the adaptation to the Agent ecosystem [3] - Industry experts will analyze the paradigm shift from "humans seeking information" to "AI delivering services," discussing how to reconstruct brand marketing logic in the era of generative large models [3][4] Group 3: Collaborative Discussions - The AI industry ecosystem will convene for roundtable discussions to explore the collaboration and integration within the AI marketing commercial ecosystem [5] - The event aims to provide insights for corporate decision-makers, product leaders, and investment institutions to discover scalable paths for AI new productivity and capture commercialization opportunities [5]

Core Insights - The article discusses the shift from traditional SEO to Generative Engine Optimization (GEO), emphasizing the importance of AI-generated answers in determining brand visibility and recognition [1][2] - A prediction by Gartner indicates that by 2027, over 30% of brand recognition will occur through AI-generated answers rather than traditional search links [1] - Mastering GEO and utilizing professional tools for monitoring and optimization is essential for content marketing and brand building [1] GEO Tools Evaluation - **Youcaiyun Content Factory**: Rated 10/10, it excels in GEO optimization, providing comprehensive monitoring and analysis of brand exposure in AI-driven search engines [4][5] - **Zhiyantong GEO Assistant**: Rated 9/10, it offers balanced functionality and supports multiple AI platforms, but lacks depth in scenario-based question simulation [9][10] - **Insight Engine**: Rated 8.5/10, it features strong text analysis and sentiment understanding, valuable for brand reputation management, but has a steeper learning curve [13][19] - **Ruixi AI**: Rated 8/10, it is a lightweight, entry-level GEO tool suitable for small businesses, focusing on basic monitoring needs but lacking in-depth functionality [20][22] Key Features of Tools - Youcaiyun provides full coverage of major AI platforms and allows users to input specific questions for realistic scenario simulations, enhancing the relevance of brand performance assessments [5][6] - Zhiyantong includes a data visualization dashboard to track brand mention trends over time, but its scenario simulation lacks flexibility [10][11] - Insight Engine analyzes the sentiment of AI-generated answers, offering insights into brand perception, though it is more focused on the Chinese AI ecosystem [18][19] - Ruixi AI is designed for quick deployment and low cost, making it accessible for initial GEO monitoring, but it does not provide comprehensive optimization strategies [20][22] Conclusion - GEO optimization is essential in the AI search era, with Youcaiyun Content Factory being the top choice for comprehensive and deep optimization [8] - Zhiyantong and Insight Engine are suitable for those focusing on trend monitoring and sentiment analysis, while Ruixi AI serves as a practical starting point for budget-conscious teams [8][22]

Market Overview - The market experienced a significant surge, with a trading volume exceeding 3.6 trillion yuan, setting a historical record [4][5]. - The average daily trading volume for A-shares last week was 2.8 trillion yuan, which dramatically increased to 3.5 trillion yuan today, surpassing the previous high from October 8 of last year [5][6]. - The current trading volume in the A-share market has outpaced that of the U.S. stock market, which had an average daily trading volume of approximately 3.4 trillion yuan in the first half of last year [6]. Sector Highlights - The commercial aerospace sector continues to thrive, with two indices hitting the daily limit up, particularly in AI application-related media and commercial aerospace satellites [9]. - A total of 44 ETFs in the market surged over 9% today, indicating a strong performance across various sectors [9]. - The proportion of trading volume in the commercial aerospace sector increased from just over 15% to 23.6% since December 22, although it saw a slight decline today due to many stocks hitting their upper limit [12]. AI Applications - The media ETF related to AI applications saw significant gains, driven by the recent listings of MiniMax and Zhizhu in the Hong Kong market, with the former rising over 30% and the latter over 60% [16][18]. - The concept of Generative Engine Optimization (GEO) is emerging as a new trend in digital marketing, potentially leading to higher advertising revenues due to more precise targeting compared to traditional Search Engine Optimization (SEO) [21][22]. - The performance of companies like Zhihu, which has seen a decline in stock price post-ChatGPT rise, illustrates the competitive landscape in AI applications, where stronger players are likely to dominate [23][25]. Market Dynamics - The market is experiencing rapid structural differentiation, with notable volatility in stock performances, particularly among AI hardware and battery giants, which are currently underperforming [31]. - Sinopec, after a brief surge due to restructuring news, has seen a decline of 10% from its peak, highlighting the unpredictable nature of market reactions [33]. - Gold prices have reached a historic high, surpassing $4,600, reflecting broader trends in global equity and commodity markets amid ongoing interest rate expectations [35][38].

Summary of GEO Technology and Industry Opportunities Company Overview - **Company**: Baidu - **Business Segment**: GEO (Generative Engine Optimization) - **Revenue Contribution**: GEO accounts for approximately 40% of Baidu's advertising search business, which contributes two-thirds of the annual revenue [1][2] Core Insights and Arguments - **Technological Framework**: Baidu's GEO utilizes a technology toolchain that includes RAG optimization, large model base, and vector database retrieval to achieve precise marketing and content distribution [1][2] - **Content Service Ecosystem**: Baidu has established over 20 data crowdsourcing bases across the country to gather data annotation materials, which support AI training and enhance optimization capabilities [5][6] - **Marketing Solutions**: The company offers end-to-end marketing strategies through keyword package services, enabling clients to achieve targeted exposure on various AI platforms [6][7] - **AI Content Generation**: Baidu integrates its Wenxin large model with GPU collaboration to provide toolchain services, allowing users to optimize content through conversational interfaces [1][7] - **Regulatory Compliance**: In response to AI regulatory policies, Baidu has implemented safety controls on its GEO engine and Wenxin model, ensuring that AI-generated content is clearly marked for compliance [8][9] Performance Metrics - **Optimization Results**: The optimization engine has reportedly increased retention rates and click-through rates by approximately 260% across platforms [12] - **GO Advertising Pricing**: GO advertising is priced about 30% higher than traditional advertising, with an expected long-term value increase of around 10% [21][27] Additional Important Points - **Client Industries**: GEO primarily serves industries such as tourism, legal, consumer goods, and e-commerce, with a focus on sectors that benefit from increased exposure and click rates [17] - **Cost Structure**: The pricing model for GEO includes toolchain fees, data services charged by person-days, and project-based pricing for marketing solutions [18][20] - **Competitive Advantage**: Baidu's integration of large model capabilities creates a significant technical barrier, allowing for automated strategy generation and optimization [22][23] - **Future Strategy**: Baidu's future plans focus on technology integration, compliance system development, and ecosystem collaboration to transition smoothly from the search era to new media and short video platforms [10][25] Conclusion Baidu's GEO technology represents a significant advancement in AI-driven marketing and content optimization, with a robust framework that supports compliance and enhances client engagement across various industries. The strategic focus on technology integration and regulatory adherence positions Baidu favorably in the evolving digital landscape.

Core Insights - The emergence of Generative Engine Optimization (GEO) is reshaping content visibility strategies, shifting focus from traditional SEO to enhancing mention rates and positive descriptions in AI-generated answers [1] - According to a report by iResearch, over 40% of search requests will be answered directly by generative AI in the next three years, indicating a significant risk of traditional traffic sources being restructured [1] GEO Optimization Strategies - GEO optimization aims to make content a "reliable source" for AI, requiring high relevance, factual accuracy, and clear structure [1] - Utilizing various GEO tools for monitoring and strategy adjustment is essential for effective optimization [1] Tools for GEO Strategy Execution - **Top Tool: Youcaiyun Content Factory** - Rated 9.8/10, it is the most comprehensive and automated solution for content production and management, serving as a complete "content factory" [3][4] - It features a "deep original" system that generates high originality articles based on keywords or trending topics, catering to the preference of generative search engines for fresh and unique sources [4] - The tool automates the entire process from content collection to publishing, allowing for continuous and large-scale production of quality content aligned with GEO strategies [5] - **Second Tool: Zhiyuan Insight** - Rated 8.5/10, it specializes in GEO monitoring and analysis, covering major AI dialogue platforms to track brand or keyword appearances in AI-generated answers [6] - It provides detailed competitive reports, offering valuable insights for marketing and PR teams, although it requires integration with other tools for content production [6] - **Third Tool: Chuangwen Kuaishou** - Rated 7.9/10, it focuses on AI-assisted content creation with various templates for quick generation of drafts [7] - While it enhances efficiency for initial content production, it lacks comprehensive tracking capabilities for content performance in AI engines and requires manual operations for publishing [7] Conclusion - To gain an advantage in the GEO era, companies must consistently produce high-quality, relevant content that is effectively captured by AI, with Youcaiyun Content Factory being the leading tool for systematic and efficient GEO strategy execution [7]