AI 营销：GEO 这只大象 20260108 摘要 GEU（生成式引擎优化）通过确保品牌信息在 AI 模型中准确呈现，实现 精准营销，包括信息源查找、内容生产与打标、以及服务手段调整，助 力企业在多触点用户验证中建立信任并提高转化率。 Deepseek 等案例表明，GEU 已成为品牌与用户之间精准沟通工具。通 过联网搜索提升品牌曝光和用户互动，尤其在高客单价产品推广中，确 保信息多触点准确展示，提高转化率。 Gartner 报告预测，AI 工具流量占比将持续提升，目前已达 40%，并 可能随着 Gemini 3 等多模态模型发展进一步上升。品牌需适应搜索引 擎从裁判到运动员的角色转变，积极利用 AI 营销新机会。 GUO（生成语言优化）与 SEO 存在显著差异，GUO 类似于闭卷考试， 依赖语言模型内部涌现，无固定规则，需通过外部归因和反复测试确认 结果。内容风格应偏向 PR 稿或百度百科，增加数据和权威来源以提高 可信度。 极优（GUO）成为热点源于甲方焦虑，竞争对手的成功会拉开差距。AI 技术普及加速极优重要性上升，B 端市场先行后蔓延至 C 端，品牌需重 视极优战略动作。 Q&A 请简要介绍一下 GE ...

Core Insights - A portion of the "post-00s" generation, known as "internet natives," is shifting from online consumption to offline shopping, with "two-dimensional street blocks" becoming new urban landmarks [1] - Traditional malls are undergoing significant renovations to attract younger consumers and enhance their shopping experience [2][3] Group 1: Market Trends - A survey by the China National Commercial Information Center indicates that 66% of surveyed enterprises expect an increase in renovation and upgrade events in 2024 [2] - The Wangfujing Joy Shopping Center, transformed from the Beijing New Yansha Golden Street Shopping Center, has quickly become a trendy destination for Gen Z consumers since its opening at the end of 2023, with significant increases in sales and foot traffic [2][3] - The Shanghai Bailian ZX Creative Park focuses on the two-dimensional economy, hosting nearly 700 events in 2024, resulting in a 70% year-on-year increase in sales and a 40% rise in foot traffic [3] Group 2: Consumer Preferences - Consumers are increasingly prioritizing experiential and emotional aspects of shopping, with 64% of consumers valuing spiritual consumption more, especially among younger demographics [5] - The demand for offline shopping has shifted from merely purchasing goods to seeking unique experiences and personalized offerings [5] Group 3: Innovative Strategies - Malls are evolving from traditional retail spaces to urban lifestyle centers that integrate social, cultural, and consumption experiences [7] - Various malls are implementing unique service enhancements, such as multilingual support and pet-friendly spaces, to create differentiated competitive advantages [8] Group 4: Challenges and Solutions - The disconnect between traditional business models and modern consumer needs poses challenges for physical retail [9] - High renovation costs and the need for effective operational support are significant hurdles for many malls [11] - Innovative approaches, such as mixed-use developments that combine retail with office and residential spaces, are being explored to mitigate renovation costs and boost foot traffic [11]

Core Insights - Over 40% of sellers on a leading domestic e-commerce platform have experienced the issue of "high traffic but low conversion" [1] - MySQL data analysis is essential for improving e-commerce operational efficiency by enabling better understanding and utilization of data [2][4] MySQL Data Analysis in E-commerce - MySQL serves as the "data heart" for most small to medium-sized e-commerce platforms, managing vast and diverse data including user behavior, product information, and order data [1] - The core value of MySQL data analysis includes data collection, integration, real-time analysis, metric quantification, and insight optimization [2] Operational Efficiency - Efficient use of MySQL data analysis is crucial; failure to do so equates to making decisions blindly in a highly competitive e-commerce environment [4] - Key operational steps include data collection, integration, real-time analysis, metric quantification, and insight optimization, which help in tracking user behavior and optimizing conversion processes [4][6] User Behavior Analysis - Each stage of the user journey presents potential drop-off points, and MySQL data analysis can pinpoint these loss points to guide optimization efforts [6] - Key metrics for analysis include page views per unique visitor (PV/UV), bounce rates, and conversion rates at various stages of the user journey [6] Case Study: Content Optimization - A case study on a Douyin account showed a 45% drop in traffic over 30 days, with average video views decreasing from 430,000 to 180,000 [9] - Analysis revealed a decline in recommended traffic from 65% to 41% and a 60% drop in search traffic, leading to strategic adjustments in content and posting times [14][15] A/B Testing and Continuous Improvement - A/B testing is highlighted as a powerful tool for improving conversion rates, supported by MySQL data analysis for tracking user behavior [16][17] - After implementing optimization strategies, the account's traffic increased by 38%, and average video views recovered to 290,000 [18]

Core Viewpoint - Efficient merchant management is crucial for the sustainable profitability and steady development of online malls, regardless of whether it is a single store, a chain, or a multi-merchant platform [1]. Group 1: Single Store Management - The focus for single-brand or merchant-operated official malls is on simplifying operations, enhancing efficiency, and precise marketing [2]. - Integration of product and order management is essential, allowing centralized management of product information and seamless order processing, which significantly reduces labor costs [2]. - Establishing a proprietary membership system is a key advantage of independent malls, enabling targeted management for repeat purchases and precise marketing [2]. - The system should provide a variety of marketing tools for agile deployment of promotional activities, ensuring ease of operation to avoid missing optimal marketing opportunities [2][4]. Group 2: Chain/Multiple Outlet Management - For merchants with multiple stores or outlets, the challenge lies in balancing unified standards with regional flexibility [5]. - Centralized management is necessary to ensure consistency in membership systems, points rules, and value policies, with product information maintained by headquarters [5]. - Local outlets require autonomy to handle local orders and inventory, necessitating a system that supports tiered permissions for efficient local management [5]. - Headquarters can plan large marketing campaigns that can be executed across all outlets, while allowing for localized promotions to meet regional market demands [6]. Group 3: Platform Operation (Merchant Onboarding) - For platforms aiming to create a "self-operated + third-party onboarding" model, the core management focus is on empowering merchants, standardizing processes, and ensuring a quality experience [8]. - Each merchant should have an independent backend management system to autonomously manage products, orders, and data, providing them with sufficient operational autonomy [8]. - The platform must establish a robust review mechanism and clear commission settlement rules to maintain credibility and consumer experience [8]. - Integrating resources to provide marketing support and data guidance for merchants is essential for mutual growth and platform expansion [8]. Group 4: Tools for Efficient Management - Selecting a user-friendly, powerful, and flexible management tool is critical for all types of operations [10]. - Ideal tools should be low-code or no-code, allowing merchants to operate without technical backgrounds, thus saving development costs and time [10]. - The system should offer modular functionalities for different management needs, ensuring smooth upgrades as business scales [10]. - A clear and straightforward backend design enhances operational efficiency by simplifying management of core modules like products, orders, and marketing [10]. - Cost-effectiveness is vital, with tools available that cater to various development stages, ensuring low initial investment and flexible future expansion [10]. Group 5: Summary of Merchant Management - Merchant management in online malls reflects the essence of refined operations, with the choice of management strategies and tools being key to cost reduction, enhanced customer experience, and business growth [12]. - Understanding specific business needs and selecting simple, practical, and cost-effective management systems can significantly improve operational efficiency [12].

Core Insights - The rapid development of artificial intelligence (AI) technology is transforming the e-commerce industry, particularly through the rise of precision marketing, which leverages big data and AI to meet consumer needs and enhance conversion rates [1][6]. Group 1: AI Applications in E-commerce - AI's most impactful application in e-commerce is the personalized recommendation system, which uses deep learning to analyze user behavior and preferences, providing tailored shopping experiences [1][3]. - AI enhances recommendation algorithms by dynamically adjusting based on real-time user data, significantly increasing purchase conversion rates [3][5]. - AI-powered intelligent customer service operates 24/7, improving customer satisfaction and reducing operational costs by providing quick and accurate responses [3][5]. Group 2: Data Analysis and Market Insights - AI supports e-commerce precision marketing by efficiently processing vast amounts of user data to identify consumer demands and market trends [6][8]. - By analyzing shopping cart data, AI can predict potential best-selling products, helping merchants manage inventory effectively [6][8]. Group 3: Intelligent Pricing and Advertising - AI's application in intelligent pricing allows for real-time adjustments based on market demand, competitor pricing, and consumer behavior, optimizing sales and profits [10][11]. - Dynamic advertising powered by AI enables targeted ad placements based on user behavior, improving ad effectiveness and reducing wasted marketing budgets [11][12]. - AI can optimize advertising strategies in real-time, ensuring maximum utilization of advertising budgets and enhancing overall marketing effectiveness [12]. Group 4: Future of E-commerce - The integration of AI in e-commerce is leading to a more intelligent and personalized shopping experience, positioning precision marketing as a core competitive advantage for future e-commerce development [12].

Group 1 - The launch of "Qianxun Super Member" mini-program by Qianxun Holdings has led to all products being sold out shortly after its release, indicating a positive market response and highlighting a shift in the live e-commerce industry from "traffic dependence" to "value cultivation" [1] - Qianxun Holdings emphasizes that the mini-program aligns with the industry's trend from "head dependence" to "diversified ecology," focusing on accurately capturing user needs through a strategy of "low-priced quality goods + member exclusives" to activate loyal fans [1] - The mini-program features products managed independently by a professional team, utilizing fixed pricing and limited-time flash sales to avoid pricing disputes, showcasing a refined approach to retail service [1] Group 2 - In the competitive e-commerce market, the cost of public traffic is rising, making user acquisition more challenging, prompting brands to explore private traffic operations, as seen with Luckin Coffee and Miniso [2] - The live e-commerce industry has entered a "decentralized" era, with platform policies increasingly favoring small hosts and brand stores, as evidenced by Tmall's report showing brand merchant live broadcasts accounting for 51.8% of total broadcasts [2] - New operational models are essential for the live e-commerce industry to find growth, with a focus on deepening emotional connections with users to enhance loyalty, as demonstrated by popular hosts like Li Jiaqi and Dong Yuhui [2] Group 3 - Qianxun is making progress in areas such as artificial intelligence and industry empowerment, which may lead to new growth points for the industry and promote the integration of live e-commerce with other sectors [3] - The industry must shift from blind pursuit of traffic to a focus on user and social value to achieve true maturity in live e-commerce [3]