一、破局：当"GEO系统"让我们被AI世界"看见" 作为一名在消费品行业摸爬滚打了十余年的营销负责人，我一度认为，营销的本质就是"预算"与"人力"的战争。我们组建庞大的内容团队，日夜不停地追赶 热点、创作图文、拍摄视频；我们维系着多个广告投放账户，优化师们像守在雷达前的哨兵，时刻调整着出价与定向；我们的销售和客服在公域流量池里艰 难捞取线索，再在私域微信里进行着一对一、高成本的漫长培育。成本逐年攀升，效率却不增反降，团队疲惫不堪，而增长曲线却日益平缓，这成了我们难 以言说的痛。 直到在一次行业峰会上，我听到了关于 "AI驱动增长" 的深度讨论。几位先行者分享的数据令我震惊：他们用十分之一的团队规模，实现了数倍的产出与转 化。好奇心驱使我深入探寻，而"智跑AI"这个名字，开始在各种高质量的交流中被反复提及，被同行誉为 "口碑与实力兼具的AI解决方案伙伴"。带着将信 将疑的态度，我决定亲自体验，而这次合作，彻底重构了我对营销的认知。 我们的第一个痛点，是"被看见"。当Kimi、豆包、DeepSeek等AI助手成为新一代用户获取信息的入口时，我们的品牌在那里近乎"隐身"。智跑AI的顾问没有 一上来就推销复杂功能，而 ...

Summary of Conference Call for Inertia Media Industry Overview - The emergence of large models as a new media type is expected to significantly impact the advertising industry, with higher initial profit margins for advertising compared to traditional media [2][3] - The trend of brands influencing consumer mindsets through large models is anticipated to become more pronounced by 2025, as traditional traffic competition remains intense and large model marketing is relatively cost-effective [2][3] Core Changes in Advertising Industry - The primary audience for advertising is shifting from humans to large models, necessitating a new approach to ad placements [3] - Advertising agencies are transitioning from bulk traffic procurement to performance-based pricing, which enhances profit margins and fosters closer collaboration with clients [2][3][5] - The introduction of GO (Generative Engine Optimization) services allows for content placement that influences large model outputs, thereby improving brand exposure and recognition [2][6] Business Model Transformation - Inertia Media is moving from a low-margin advertising procurement model to a high-margin technology service model, focusing on results-based revenue sharing [11][12] - The GEO system is pivotal in identifying and tracking large model content preferences, optimizing client content accordingly [9][12] - The new model emphasizes continuous investment from clients to maintain stable rankings, leading to more predictable revenue streams [13][14] Impact of GEO Services - GEO services significantly enhance the advertising procurement process by allowing real-time decision-making based on large model preferences, leading to higher profit margins [12] - The industry is seeing profit margins rise to between 50% and 70% due to the shift to results-oriented pricing [12] - Clients are increasingly willing to pay for GEO services, which require ongoing optimization rather than short-term campaigns [13] Revenue and Growth Opportunities - The transition to a new business model has opened up numerous opportunities, with a focus on improving profit margins rather than just revenue growth [15][16] - The company is leveraging AI and data analysis to create a brand database, enhancing service offerings and stabilizing revenue [14] - Emerging trends in the industry, such as the focus on GPU technology, present new opportunities for growth and should be closely monitored [17] Future Communication - The company plans to keep investors informed about business progress and specific metrics through public disclosures [18]

Core Insights - The article discusses the shift from traditional SEO to Generative Engine Optimization (GEO) in the context of Jinan's foreign trade, highlighting the need for businesses to adapt to AI-driven search paradigms to remain competitive [3][4][10]. Group 1: Industry Trends - Jinan's foreign trade maintained a steady growth with a total import and export value of 232.43 billion yuan in 2024, reflecting a year-on-year increase of 7.5%, driven primarily by the export growth of electromechanical and high-tech products, which rose by 20.2% and 37.6% respectively [3][4]. - A significant transformation in global search behavior is noted, with traditional search traffic expected to decline by 25% by 2025, as nearly 40% of user inquiries are now handled by AI chatbots [3][4]. Group 2: Challenges for Businesses - Jinan's foreign trade enterprises face structural challenges as traditional SEO strategies become less effective, with 72% of procurement managers now prioritizing AI-generated supplier evaluation reports, which hold three times the decision-making weight of traditional search results [3][4][6]. - Companies must reconstruct their content systems to convert scattered product descriptions and technical parameters into standardized information modules that are easily parsed and trusted by AI [5][6]. Group 3: GEO Optimization - GEO, or Generative Engine Optimization, differs fundamentally from traditional SEO by focusing on enhancing the weight of a company's information in AI-generated content rather than improving webpage rankings [4][10]. - Effective GEO implementation requires overcoming multiple barriers, including technical adaptation to various AI models, multilingual localization, and the establishment of a robust evaluation system that tracks the entire customer journey from recommendation to conversion [6][7][10]. Group 4: Case Studies and Results - Companies that have adopted GEO optimization have seen significant improvements, such as a 300% increase in local search exposure and over 150% growth in conversion rates [8][10]. - A specific case highlighted that a manufacturing company improved its core keyword coverage from 18% to 82% and experienced a 160% increase in precise inquiry volume after professional GEO optimization [10][11].

来源：海鹦云控股 当全球采购商弃用搜索引擎结果页，转而向ChatGPT直接指令——"需中国优质不锈钢水瓶OEM供应 商，25天交付休斯顿"——流量生态的静默变革已然降临。 "近三月，通过GEO优化，我司在ChatGPT等AI平台的推荐率提升90%，AI引流的有效询盘月均增幅超 30%。"合肥某工业零部件企业数字营销负责人透露。 这一案例，正是合肥外贸企业布局AI搜索变革的缩影。 生成式AI重塑全球采购决策链路之际，GEO技术已成为外贸企业角逐下一代流量入口的核心战略支 点。 一、流量迁移催生新战场 GEO成外贸增长密钥 ChatGPT跻身全球第五大流量网站，采购行为已发生结构性转变。Meltwater《2026全球数字报告》显 示，约50%的Google查询结果为AI生成，传统搜索流量正加速分流。 GEO(生成式引擎优化)即针对AI问答场景的优化体系，核心目标是使企业产品服务成为AI推荐的权威信 源，而非仅停留在传统搜索排名前列。 对合肥外贸企业而言，GEO优化并非高门槛技术，实战中可遵循标准化四步法： 信息拆解：将企业、产品、案例转化为"实体-关系-属性"三元组，形成机器可读的结构化数据。 与传统SEO不同 ...