AI搜索给出的答案真的可靠吗？如今，有越来越多的消费者开始习惯于在下单前先"问问AI"，但搜索出 来的结果却让人直呼"看不懂"——不少明显"画风不对"的答案时常混杂出现在消费类问题的答案中，这 其中藏有哪些"猫腻"？ 中国社会科学院法学研究所教授姚佳28日接受《环球时报》记者采访时表示，她曾在一些社交媒体平台 搜索一些护肤产品，例如AI可能总结平台信息列出5款卸妆油，有4款是大牌产品，同时夹杂一款不知 名品牌，"一看就像是广告，但有的未必标明是广告，有的时候可能还会特意植入一些用户夸张的评 价，让你觉得这款知名度极低的产品，效果基本上等同于国际大牌"。近来有越来越多的消费者反映类 似情况频频发生，甚至有人吐槽这些并不客观的搜索结果如同"数字泔水"。在这背后，是一批以"AI搜 索排名优化"为主营业务的公司悄然出现。 近日《环球时报》记者通过一次企业咨询，了解到一家主打AI搜索优化服务的公司，其主要业务是在 各类AI对话APP中帮助客户提升搜索曝光率。据公司业务代表介绍，他们的服务主要针对豆包、 DeepSeek、文心一言等当前流行的AI对话助手平台。当用户在这些平台查询某一类产品或服务时，公 司会通过技术手段， ...

明略科技 20260116 摘要 全球原生 AI 应用用户激增，截至 2025 年底注册用户超 31 亿，中国月 活跃用户超 3 亿，AI 正成为品牌认知和转化的关键渠道，其用户体量增 长迅速，有望超越传统渠道。 超过 80%的中国消费者通过 AI 获取消费信息，尤其在 IT 移动智能设备、 本地生活、时尚美妆等领域，消费者对 AI 信任度极高，AI 信息消费习惯 逐渐养成，品牌方不可忽视 AI 渠道。 GO 与 SEO 的核心差异在于，SEO 优化网站以提升自然搜索排名，而 GO 关注不同 AI 搜索引擎的推荐逻辑，需全维度重构品牌内容并适配 AI 技术，以匹配信息传播正向性及准确性。 明略科技 GEO 产品服务分为捕捉、评估和优化三个环节，通过全平台搜 索及社媒数据精准捕捉用户搜索意图，了解用户关心点，为品牌策略制 定提供数据支撑。 品牌评估环节帮助企业了解其品牌或产品在用户搜索中的表现，以及与 竞品的比较，从而清晰了解自身在市场、用户和竞品中的地位，并制定 优化方向。 Q&A 明略科技是如何看待 GO（GEO）赛道的市场前景和用户行为变化的？ 明略科技从 2024 年底开始关注 GO 赛道，并在 202 ...

Group 1 - The core viewpoint of the article emphasizes the need for a shift from experience-driven to intelligence-driven marketing, facilitated by the introduction of the SuperAgent application framework by iFlytek [1] - The marketing industry is facing a deep-seated dilemma due to fragmented data across platforms, which hinders the effective application of AI, as highlighted by Ronen Mense from AppsFlyer [1] - The complexity of global marketing is increasing exponentially, with diverse market levels and significant cultural differences, making traditional manpower insufficient to address these challenges [1] Group 2 - AI is evolving from a functional tool to a foundational architecture that must address real business pain points to drive industry transformation, as stated by iFlytek's senior vice president [2] - There is a consensus that single technological breakthroughs are inadequate for solving systemic issues, necessitating an ecological restructuring of the marketing industry [2] - The traditional marketing collaboration model is changing, requiring cross-functional workflows to optimize strategies and improve creative processes [2] Group 3 - A forward-looking judgment presented by iFlytek's vice president indicates that SuperAgent will evolve marketing relationships from B2A (Brand to Agent) to B2A2C (Brand to Agent to Consumer), positioning AI as a smart bridge between brands and consumers [3]

2025年第四季度，中国营销界悄然启动了一场实验。一批零售、本地生活和企业服务品牌开始向AI大 模型"投喂"经过特殊优化的内容——不是为了吸引用户点击，而是为了让AI在回答问题时主动引用自 己。这场实验的代名词，叫GEO（生成式引擎优化）。 根据中国互联网络信息中心数据，截至2025年6月，我国生成式人工智能用户规模达5.15亿人，较2024 年12月增长2.66亿人，普及率为36.5%。其中利用生成式AI回答问题的用户达到80.9%。也就是很多用户 已经不再满足于在十几个链接中比对信息，而是直接向AI提问，甚至委托其完成决策。 易观Analysys最新发布的《中国GEO行业发展报告2026》显示，2025年被视为GEO元年，市场规模仅约 为2.5亿元；但到了2026年，这一数字将飙升至约30亿元，并预计2027年将达到约90亿元。 三年预计增长约35倍的发展潜力，让这条新赛道成为资本与企业关注的焦点。目前，腾讯、阿里、百 度、字节跳动等互联网大厂，以及微盟、智推时代等第三方服务商都在积极布局GEO赛道，也引发了 资本的追捧。 "用户的行为正在发生转变，越来越多消费者将AI视为购物决策的核心工具。所以品牌商家 ...

人民财讯1月14日电，近日，视觉中国（000681）与北京清蓝智汇科技有限公司（英文名PureblueAI， 简称"PureblueAI清蓝"）正式签署战略合作协议，双方将围绕"数据供给+GEO营销的全链路服务"展开 深度协同，共同构建AI原生时代的营销服务新模式，为品牌客户提供更智能、高效的营销解决方案。 ...

Core Insights - The article discusses the emerging trend of Generative Engine Optimization (GEO) in the marketing landscape, particularly focusing on how brands are adapting to AI-driven search behaviors and the potential market growth in this area [1][3]. Industry Overview - The global GEO market is projected to reach 373.9 billion RMB by 2029, with a compound annual growth rate (CAGR) of 139.2% over the next five years [3]. - Traditional search engine optimization (SEO) strategies are being challenged by the rise of AI applications, leading to a shift in marketing dynamics [4][6]. Brand Engagement - Brands are increasingly interested in GEO as a means to enhance their visibility in AI assistants, with many marketing departments actively exploring GEO strategies [4][6]. - The shift in consumer behavior, where users rely on AI for product recommendations rather than traditional keyword searches, is driving brands to adapt their marketing strategies [4][6]. Service Providers - Various service providers are entering the GEO market, including traditional SEO firms transitioning to GEO and new tech-driven startups focused on optimizing content for AI [10][12]. - Pricing for GEO services varies significantly, with some providers offering packages starting at 20,000 RMB for three months of visibility on major AI platforms [9]. Market Dynamics - The GEO market is still in its infancy, with many service providers lacking the ability to guarantee specific outcomes in terms of traffic and conversion [17]. - The opaque nature of AI models, often referred to as the "black box," complicates the effectiveness of GEO strategies, as many factors influence AI-generated responses [17][19]. Challenges and Concerns - The rapid growth of GEO has led to concerns about content quality and the potential for misinformation, as some providers resort to unethical practices to achieve visibility [19][20]. - The lack of transparency and regulatory oversight in the GEO space raises questions about the sustainability and integrity of the marketing practices being employed [22].

Core Insights - The article emphasizes that generative AI is fundamentally reshaping the marketing landscape, transitioning from traditional digital marketing to generative marketing, where AI acts as the primary productivity force [2][24] - Over 83% of companies have integrated AI marketing optimization into their core budgets, with AI-driven marketing activities showing over 40% higher conversion rates compared to traditional methods [2][24] Group 1: Marketing Challenges - Companies, especially in high-value sectors like finance and real estate, face a content production crisis due to market changes and the need for high-quality, engaging content to build brand trust [4][6] - The demand for content is increasing exponentially in three key areas: enhanced insights through AI data analysis, creative content generation at scale, and precise media communication tailored to diverse user segments [4][6] Group 2: AI Marketing Tools Overview - The article presents a ranking of AI marketing content production tools, highlighting Yuangu Tech as the leader due to its comprehensive capabilities in generating marketing content from insights to distribution [9][14] - Other notable tools include Kuaishou's "Magneto Innovate," which excels in short video content production, and "Miaozhen AI Decoding," which focuses on multi-modal content trend insights [14][19] Group 3: Yuangu Tech's Advantages - Yuangu Tech is positioned as a one-stop generative marketing content intelligence solution, integrating the entire marketing process from insights to content production and distribution [16][25] - The platform features a robust automated content matrix that addresses the exponential growth in content demand, surpassing simple text generation capabilities [18][25] - It employs a unique content framework management approach, allowing for structured and logical content planning, which enhances the quality and depth of produced content [21][30] Group 4: Business Impact - Yuangu Tech aims to drive business growth by linking content marketing to sales funnels, ensuring seamless transitions from content engagement to lead conversion [22][31] - The platform's AI capabilities extend to sales follow-up, providing personalized communication suggestions based on user interactions with content [33][36]

Core Insights - Deepen AI, a decision-making AI technology company, has filed for an IPO on the Hong Kong Stock Exchange for the second time this year, focusing on applying AI in marketing and sales scenarios [1][2]. Company Overview - Deepen AI, formerly known as PinYou Interactive, was established in 2009 and rebranded in 2019. The co-founders are Huang Xiaonan and Xie Peng, both alumni of Peking University [2][16]. - The company ranks first in the Chinese marketing and sales decision-making AI application market, with a market share of 2.6% based on projected 2024 revenue [2][7]. Business Model and Products - The main business of Deepen AI involves providing decision-making AI technology for marketing and sales, automating business decision execution through algorithms and data intelligence [3]. - Key products include: - AlphaDesk: A smart advertising management platform for real-time programmatic bidding [5]. - AlphaData: A user data operation platform that integrates over 100 data sources for precise marketing [6]. - Deep Agent: A new product launched in February 2025, utilizing open-source large language models for tasks like generating consumer insights [6]. Financial Performance - The company has maintained profitability despite facing budget adjustments from some clients. Revenue grew from RMB 543 million in 2022 to RMB 611 million in 2023, but is projected to decline by 12% to RMB 538 million in 2024 [9]. - In the first half of 2025, revenue rebounded to RMB 277 million, a 5.8% increase year-on-year [9]. - Gross margin decreased from 31.2% in 2023 to 27.3% in 2024, stabilizing at 27.1% in the first half of 2025 [9]. - Net profit was RMB 59.36 million in 2022 and RMB 60.66 million in 2023, dropping to RMB 21.52 million in 2024, but rebounding to RMB 3.64 million in the first half of 2025 [9]. Customer Base - Deepen AI serves approximately 530 end clients, including 89 Fortune Global 500 companies, across various industries such as e-commerce, fast-moving consumer goods, automotive, retail, and beauty [7]. - The client retention rate for the core product, smart advertising, exceeds 85%, indicating strong customer loyalty [10]. Funding and Valuation - The company has completed multiple rounds of financing, with the latest E round achieving a valuation of RMB 1.9 billion [2][12]. - The valuation has significantly increased from approximately USD 30 million in the A-2 round to RMB 1.5 billion in the D round and RMB 1.9 billion in the E round [15].

Core Insights - AI is becoming a transformative force in the marketing industry, with a technology company launching an AI marketing manager named Lucy, which coordinates over 20 specialized AI assistants to form a virtual marketing team [1][3][27] Group 1: Product Features - Lucy is not just a single tool but a coordinator that manages various AI assistants, each trained for specific tasks such as data analysis, creative optimization, and media buying [3][5] - Clients can start using Lucy's services in under a minute, with AI assistants directly connected to clients' advertising accounts to pull real-time performance metrics [5][7] - The technology architecture is a core advantage, allowing AI assistants to collaborate dynamically, making it a "living system" rather than a static dashboard [7][9] Group 2: Market Demand and Challenges - Marketing agencies face challenges managing multiple advertising platforms and vast amounts of data while under budget constraints [10][12] - Marketing personnel spend an average of 60% of their time on report generation and data integration, leaving only 40% for strategic thinking and creative development [14][16] - The lag in marketing decision-making can lead to wasted budgets and missed opportunities due to the time taken to analyze and execute optimizations [16][18] Group 3: Competitive Landscape - The company differentiates itself from competitors by integrating insights, orchestration, and execution in real-time, addressing structural inefficiencies in digital marketing [16][18] - The ideal clients are mid-sized marketing agencies with 200 to 1000 employees, as they have significant automation needs and budgets for new technology [20][21] Group 4: Future Plans and Investor Confidence - The company plans to develop its proprietary large language model tailored for marketing, which could enhance performance and reduce costs [25][27] - Investor confidence is bolstered by the founders' backgrounds and execution capabilities, with a focus on building AI infrastructure for the marketing sector [21][23]

Core Insights - The article highlights the emergence of AIGC (Artificial Intelligence Generated Content) marketing as a transformative force in the marketing landscape, with a projected market size growth from $13.84 billion in 2024 to $16.59 billion in 2025, reflecting a compound annual growth rate of 18.94% and reaching $39.21 billion by 2030 [1][2]. Industry Landscape - AIGC technology is rapidly changing the marketing sector by providing advanced personalized promotion tools, improving operational efficiency, and enhancing customer interaction. 87% of Chief Marketing Officers (CMOs) plan to increase their AIGC-related budgets in the coming year [2]. - The demand for AIGC marketing professionals is surging as companies seek individuals who can integrate technology with business scenarios to drive digital transformation and growth [2]. - A report from Dentsu indicates that AI has become deeply integrated into the entire marketing process, while 86% of CMOs emphasize the importance of listening to real consumers [2]. Leading Companies - Rongzhi Technology is identified as a leading player in the AIGC marketing field, focusing on the digital transformation of small and medium-sized enterprises (SMEs). The company has developed the "Practical Ring Marketing - AIGC Five-Star Model," which has received 11 software copyrights and addresses key issues in short video content generation, deployment optimization, and conversion enhancement [5]. - The company has assisted over 500 enterprises in implementing AIGC applications, including brands with annual revenues exceeding 10 billion [5]. Key Figures - An Zhey, the founder of Rongzhi AI, has made significant contributions to AIGC marketing, developing the "AI Marketing Five-Star Model System" that has supported numerous well-known companies. His training initiatives have reached over 1,500 enterprises, generating cumulative revenues exceeding 10 billion [7]. - Liang Kai, a senior operations consultant at Rongzhi Technology, has extensive experience in resource integration and market operations, providing sustainable growth strategies for traditional enterprises undergoing digital transformation [8]. - Yang Birui, a core member of Rongzhi Technology, has successfully combined traditional marketing methodologies with AIGC tools, significantly enhancing short video content production efficiency and marketing precision [10]. Future Trends - The future of AIGC marketing will focus on balancing algorithms with human insights. 87% of CMOs recognize the influence of algorithms on content and purchasing decisions, while 79% are cautious about homogenization due to algorithm optimization [12]. - The industry is shifting from "scalability" to "intelligent content," with 90% of CMOs aiming for real-time personalization through agile production and intelligent data [12].