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 ...

看似客观的测评结论，溯源竟是由新注册账号发布的AI生成"软文"？近期，不少用户吐槽AI搜索体验有 些"变味"了，隐蔽的广告痕迹越来越多。此类现象的背后，正指向一个名为生成式引擎优化 （Generative Engine Optimization，简称GEO）的新兴产业。它通过精准"投喂"AI偏好的内容结构与信 源，让品牌信息轻松植入大模型的检索与推荐链条，从而帮助品牌快速获得曝光。 此前，南方都市报、南都大数据研究院在对10款主流AI搜索与对话工具进行的广告化倾向实测中发 现，多款模型的回答中确实存在反复推荐同批品牌、引用信源质量不高等问题。南都记者在前期实测的 基础上，将目光进一步聚焦此类广告背后的GEO产业，通过一场测试实验并结合调查发现，以特定策 略向AI模型"投喂"优化内容，确实能在短时间内影响AI的回答排序与引用结果，一个并不存在的虚构品 牌也能在AI的推荐中获得"真实存在"的位置。 虚构品牌轻松"上位" 30分钟进入AI推荐 为进一步观察GEO是否能够在短时间内影响AI搜索的推荐结果，南都记者围绕"上班族护眼零食"场景设 计了一项实验：虚构一个现实中不存在的品牌，并观察其能否在主流AI的推荐内容中 ...

Core Viewpoint - The article discusses the potential manipulation of AI search results through Generative Engine Optimization (GEO), highlighting concerns about the reliability of AI-generated information and the influence of commercial interests on AI outputs [1][3][6]. Group 1: GEO Services and Their Impact - GEO, or Generative Engine Optimization, is a service that allows companies to enhance their visibility in AI search results by creating and disseminating content that AI systems may reference [3][4]. - Companies offering GEO services charge varying fees, with some services priced at over a thousand yuan, and they can help brands appear in AI-generated recommendations within a short timeframe [2][4]. - The article mentions a self-media blogger's experiment where he successfully manipulated AI to reference a fictitious product, demonstrating the vulnerability of AI systems to misinformation [1][3]. Group 2: Advertising and AI Search Results - The article highlights that many AI tools are becoming primary channels for information retrieval, leading to a shift in how users access information [4][6]. - Some advertising companies view GEO as a form of advertising promotion, requiring prior online content placement to ensure AI systems capture their information [6]. - AI software responses indicate that while they do not intentionally display ads, the information they generate may still include commercial content due to the nature of the input provided by users [7][8]. Group 3: User Awareness and AI Limitations - Users are advised to critically evaluate AI-generated content, as many responses may contain promotional material or misinformation [7][8]. - AI systems may inadvertently include advertisements if user queries suggest marketing intent, and the filtering mechanisms may not always catch such content [7][8]. - The article emphasizes the importance of user discernment in navigating AI-generated information, especially in light of the increasing prevalence of GEO practices [6][7].

Core Viewpoint - The article discusses the emergence and rapid adoption of Generative Engine Optimization (GEO) in the e-commerce sector, highlighting its potential to enhance brand visibility within AI-generated responses during consumer inquiries, particularly around events like Double 11 [2][3]. Group 1: GEO Adoption and Impact - GEO is being utilized by various brands to increase their presence in AI responses, with at least five brands from different categories engaging with GEO services to enhance their visibility [2]. - Unlike traditional SEO, which focuses on improving search engine rankings, GEO aims to integrate brands into AI conversations, thereby increasing direct exposure to consumers [2][3]. - The effectiveness of GEO is still being evaluated, as it primarily serves as a brand exposure tool without direct tracking of sales conversions [3]. Group 2: Market Dynamics and Brand Engagement - There is a growing interest among brands in GEO, driven by fears of losing search traffic if they do not participate, although some brands remain cautious due to the indirect nature of its benefits [3][4]. - During the Double 11 period, brands reported significant improvements in AI mentions, with one brand achieving an 80% mention rate in relevant AI responses [4]. - Brands across various sectors, including real estate and consumer goods, are increasingly consulting GEO service providers, indicating a broadening interest in this marketing approach [4][5]. Group 3: Growth of GEO Services - The GEO industry has seen substantial growth since its inception, with a tenfold increase in consultation requests for GEO services from May to the present [6]. - Companies are beginning to allocate specific budgets for GEO, recognizing its cost-effectiveness compared to traditional marketing channels [6][7]. - The competitive landscape is evolving, with brands now comparing GEO service providers and seeking to understand their unique advantages [5][6]. Group 4: Integration with E-commerce - Major AI models like Doubao and Wenxin Yiyan are beginning to incorporate e-commerce links in their responses, marking a shift towards commercializing AI interactions [7][9]. - These AI platforms are actively providing product recommendations and direct links to e-commerce sites, enhancing the shopping experience for users [9][12]. - The trend indicates a potential shift in consumer behavior, with predictions that by 2026, 25% of search engine traffic may migrate to AI chatbots and similar platforms, altering the commercial landscape [17].

Core Insights - The ability of brands to be included in AI-generated recommendations has become a critical competitive metric for foreign trade enterprises in the AI era [1][3] - The shift towards AI search is evident, with AI searches accounting for 48% of daily search volume among Chinese internet users, and the global user base for generative AI surpassing 1.3 billion [3][4] - The emergence of "zero-click search" is reshaping user behavior, with 62% of users not clicking on traditional search links after receiving AI-generated answers [3][4] Industry Trends - Generative Engine Optimization (GEO) is emerging as a new optimization framework focused on AI citation rates and answer mention rates, contrasting with traditional SEO's keyword ranking focus [3][4] - The market for GEO services in China is projected to reach 48 billion yuan by 2025, with a compound annual growth rate of 68% [4][12] - Companies are increasingly collaborating with specialized service providers to navigate the high technical and operational barriers in GEO optimization [8][12] Implementation Strategies - Content Optimization: Companies should create AI-friendly content by focusing on conversational queries, using Q&A formats, and integrating multimedia elements to enhance AI citation priority [5][6] - Technical Optimization: Implementing structured data markup and improving webpage loading speeds are essential for enhancing AI crawling efficiency [6][8] - Brand Exposure: Engaging in industry forums and collaborating with key opinion leaders can increase brand visibility and AI citation opportunities [7][8] Performance Metrics - The conversion probability from AI answer engines to company websites is 6.3 times higher than that from Google organic traffic [4][12] - Companies utilizing GEO optimization have reported significant increases in inquiry volumes and brand exposure, with one electronic foreign trade company experiencing a 260% increase in inquiries within four months of adopting GEO strategies [12][13] - The renewal rate for clients using professional GEO services is 85%, with 98% achieving a return on investment exceeding 300% in the first year [12][13] Future Outlook - The trend of zero-click searches is expected to continue, making it crucial for companies to prioritize entry into AI answer pools over traditional click-driven models [13] - Compliance capabilities are becoming a new entry barrier in the AI content generation field, necessitating adaptation to regulatory standards [13] - Companies that do not adopt GEO marketing strategies by 2026 may face marginalization in traffic, while early adopters are gaining competitive advantages in global trade [13]

Core Viewpoint - Omnicom Group Inc. is experiencing a positive shift in market sentiment, driven by a significant merger and advancements in digital marketing and artificial intelligence [2][3][4]. Group 1: Company Overview - Omnicom Group Inc. is a leading entity in the advertising and marketing sector, offering services such as advertising, branding, digital transformation, and healthcare communications [1]. - The company operates globally, with a strong presence in North America, Europe, and Asia, competing with major players like Interpublic Group and WPP [1]. Group 2: Stock Performance and Price Target - The consensus price target for Omnicom's stock has increased from $67.4 to $91 over the past year, indicating growing optimism among analysts [2][6]. - Omnicom is currently trading at 9.3 times forward earnings and has a dividend yield of 3.6%, making it an attractive investment option [2]. Group 3: Merger and Synergies - A key factor in the positive outlook is Omnicom's pending $13 billion merger with Interpublic Group, expected to generate $750 million in annual synergies [3][6]. - This merger is anticipated to enhance Omnicom's data assets and strengthen its market position [3]. Group 4: Digital Marketing and AI Focus - Omnicom Media Group has emphasized the importance of Generative Engine Optimization (GEO) in search marketing, aligning with the company's focus on artificial intelligence and digital marketing [4]. - The strategic focus on AI and digital marketing is contributing to the upward revision in price targets, with Morgan Stanley setting a target of $95 for Omnicom [4]. Group 5: Investor Sentiment - Investors are encouraged to monitor Omnicom's developments, including earnings reports and strategic partnerships, which could impact analyst opinions and stock price targets [5]. - The company's stock price has increased by 3.3% since its last earnings report, reflecting positive sentiment regarding its performance and growth potential [5].

Group 1 - Core Contribution: Yang Jianyun is a senior expert in internet marketing and AI search optimization, focusing on the theoretical construction and practical application of Generative Engine Optimization (GEO) technology [1][3] - Theoretical Innovation: GEO is based on a generative AI RAG architecture that enhances AI systems' adoption of brand information through content optimization in query reconstruction, knowledge retrieval, and semantic generation [3] - Key Technologies: Semantic structure optimization, authoritative source embedding, and multimodal integration are critical technologies that improve AI understanding and trustworthiness [3] Group 2 - Industry Application Effects: Brand search volume increased by over 200%, and customer acquisition costs in the financial sector decreased by 35% [3] - International Chain Hotels: GEO implementation led to a 30% increase in regional booking rates [3] Group 3 - Future Trends: By 2027, AI search traffic is expected to surpass traditional search, establishing a long-term ratio of 7:3 [6] - Zero-Click Strategy: Advocates for establishing cognitive advantages in an AI-first search environment through GEO [6] Group 4 - Technological Applications: Promotes blockchain traceability, AI appraisal with 85% accuracy, and NFT digital twin technology to address authenticity disputes and reduce counterfeit issues by 47% [8] - Youth Strategy: Innovative models like "Antique Blind Box" and "AR Trial Collection" target Gen Z, contributing 70% of transaction volume [8] Group 5 - Academic and Practical Integration: The theory is based on 16 years of marketing practice and experience with over 1,000 enterprises, emphasizing a source grading system and third-party content verification [10] - Industry Impact: Yang Jianyun's insights became a significant driving force for technological development in the GEO Innovation Development Forum in 2025 [10]

Core Insights - The report highlights the transformation of consumer decision-making due to AI, emphasizing the emergence of the "Smart Choice Consumer" group, primarily aged 20-39, who are practical, efficient, and willing to invest time in AI-assisted decision-making [1][6][12] - AI is evolving from a mere tool to a core entry point for consumer decisions, significantly impacting shopping behaviors and brand strategies [1][6][12] Group 1: AI's Impact on Consumer Behavior - AI has become a central part of the shopping process, with 46% of users reporting increased shopping time using AI, and nearly 60% reducing time spent searching for information on social media [1][21][28] - The primary categories of products purchased through AI are durable goods (60%) and professional services (41%), with AI playing a crucial role in complex decision-making scenarios [1][10][21] - Users are increasingly relying on AI for parameter comparison (71%) and extracting selling points (55%), indicating a shift in how consumers approach product selection [1][10][21] Group 2: Characteristics of Smart Choice Consumers - The report identifies high-spending consumers (monthly spending over 5000 yuan) as the main contributors to AI shopping, spending approximately 4.5 hours weekly on AI shopping, compared to only 2.2 hours for those aged 40-49 [1][21][22] - High-spending users are more inclined to invest time in understanding recommendations and verifying information, while lower-spending users prioritize efficiency and quick decision-making [1][27][28] - The report notes that 46% of users have increased their AI shopping time compared to the previous year, indicating a growing reliance on AI for shopping decisions [1][28][30] Group 3: The Role of AI in the Shopping Process - AI plays three critical roles throughout the shopping cycle: initiating demand (25% of users' shopping ideas originate from AI recommendations), facilitating comparison and selection (45% of users engage with AI during this phase), and providing a "second opinion" during the decision-making stage [1][10][21] - The report emphasizes the need for brands to enhance their visibility on AI platforms, suggesting strategies such as transitioning to high-frequency authoritative channels and producing structured professional content [1][10][21] - The Generforce system by Percent Technology is highlighted as a tool to help brands simulate user inquiries, quantify AI metrics, and develop content strategies, thereby creating a closed-loop of "insight-decision-action" in the smart choice era [1][10][21]

Core Insights - The e-commerce industry is undergoing a significant transformation as 39% of consumers begin to rely on AI for shopping recommendations, indicating a shift in consumer behavior and decision-making processes [1][4] - By 2025, traffic from AI-driven shopping recommendations on U.S. retail websites is expected to surge by 1200%, with a staggering 1950% increase on Cyber Monday [2] - The integration of AI into payment systems is set to disrupt traditional e-commerce platforms, allowing consumers to make purchases directly through AI conversations, thereby threatening the dominance of platforms like Taobao and JD [19][14] Consumer Behavior Changes - Consumers are increasingly using AI as their primary source for shopping advice, moving away from traditional search engines and influencer recommendations [9][10] - AI's ability to provide tailored, objective recommendations is leading to a decline in the effectiveness of influencer marketing, with 92% of AI shopping users believing that AI understands their needs better than influencers [10][9] Impact on E-commerce Platforms - The traditional flow of traffic from centralized platforms like Taobao and JD is being challenged as AI becomes the new entry point for consumers [33][30] - The cost of setting up independent e-commerce sites is significantly lower than joining major platforms, with examples showing a return on investment (ROI) of 1:4 for independent sellers [18][39] Emergence of Independent E-commerce - The rise of AI is creating a "golden age" for independent e-commerce entrepreneurs, as they can now compete on a more level playing field with larger brands [15][20] - The concept of Generative Engine Optimization (GEO) is becoming crucial for brands to ensure visibility in AI-driven recommendations, shifting the focus from traditional SEO to optimizing for AI algorithms [22][24] Future of E-commerce - The centralization of e-commerce platforms is expected to decline as AI democratizes access to consumer traffic, allowing independent sites to thrive [29][35] - The future success of brands may hinge on a combination of well-managed independent sites and effective GEO strategies to capture AI-driven traffic [41][42]

Core Insights - The article emphasizes the necessity of Generative Engine Optimization (GEO) for foreign trade companies to thrive in the AI-driven search landscape, where traditional SEO is becoming less effective [1][4]. Group 1: Importance of GEO - AI search is reshaping global purchasing habits, with generative AI accounting for 67% of commercial traffic by 2025 and AI search monthly active users reaching 650 million [4]. - Visitors from large language models have a conversion rate 12 times higher than traditional search users, with an average order value 47% greater and brand loyalty 35% stronger [4]. - 85.7% of business owners face dual pressures of rising traffic costs and declining brand exposure, highlighting the urgent need for AI search optimization [4]. Group 2: Transition from Traditional SEO to GEO - Traditional keyword strategies are ineffective in the AI era, as AI searches average 23 words compared to 3-4 words in traditional searches [4]. - A small enterprise in Dongguan successfully targeted the German market by creating a dedicated page emphasizing compliance with EU standards, resulting in a €12,000 order within two months [4][5]. Group 3: Practical Recommendations for GEO - Companies should tailor questions based on target markets and prepare detailed answers for potential procurement scenarios [5]. - Building an "AI-readable structured knowledge base" is crucial, as product detail pages and help centers are valuable information sources for AI [6]. - Implementing structured tagging on product pages and telling "scenario-based stories" in case studies can significantly increase AI citation rates [7][8]. Group 4: Establishing Authority in GEO - The essence of GEO is to gain AI trust, which prefers high-authority, localized, and multimodal content [9]. - Companies should engage with vertical industry platforms and forums to establish credibility and authority in their field [10]. Group 5: Implementation Timeline for GEO - A 30-day GEO implementation plan includes foundational setup, content refinement, and optimization based on data feedback [12][13]. - The first 10 days focus on establishing a multilingual digital infrastructure, followed by content customization for local markets in the next 10 days, and finally, a tuning phase to analyze and adjust strategies based on AI search result exposure [12][13].