当海外采购商通过 AI 助手检索 "上海优质供应商推荐" 时，品牌能否跻身推荐序列，已成为外贸企业在 AI 时代的核心竞争力标尺。"传统搜索 引擎稳居前三，AI 问答场景却难觅品牌踪影!"2025 年一场行业论坛上，某制造业企业负责人的发声，道出了当下外贸企业的共性困境。 最新行业监测数据显示，AI 搜索已占据中国网民日均检索量的 48%;全球生成式 AI 用户规模突破 13 亿，中国市场用户达 5.15 亿，普及率攀升 至 36.5%。在这场搜索生态革命中，如何摆脱 "品牌隐身" 困境，成为上海外贸企业生死攸关的命题。 2025 年，搜索领域正经历结构性变革，用户行为转变催生 "零点击搜索" 新范式。数据显示，62% 的用户在获取 AI 生成答案后，不再点击后 续传统搜索链接，这一趋势持续稀释传统 SEO(搜索引擎优化)的流量价值。 "采购商不再逐页翻阅搜索结果，而是直接向 AI 索取精准答案，AI 生成的回复往往'只推最优、不列备选'。" 行业专家指出，这场变革的核心 在于信息分发逻辑的重构。传统 SEO 以关键词排名为核心目标，而新兴的 GEO(生成式引擎优化)则聚焦 AI 引用率与答案提及率两大核心指 ...

Group 1 - The core viewpoint of the articles highlights the transformation in consumer information acquisition from traditional methods to AI-driven solutions, with AI search monthly active users surpassing 600 million, indicating a shift in brand marketing rules [1][3] - The transition from Search Engine Optimization (SEO) to Generative Engine Optimization (GEO) is reshaping marketing strategies, as GEO focuses on integrating brand information into AI's understanding rather than merely improving webpage rankings [3][4] - The rise of AI agents is revolutionizing marketing efficiency, moving from a human-led approach to an intelligent-driven model, enhancing the overall marketing process through data interconnectivity and model collaboration [4] Group 2 - Shanghai Wake Technology is a leading player in AI digital marketing services, specializing in GEO and AI marketing solutions, with a core team possessing 14 years of marketing experience [5] - The company has developed proprietary AI training and query systems, significantly increasing exposure in AI Q&A scenarios and attracting potential customers through precise product information matching [5] - The company offers tailored solutions based on industry-specific characteristics, addressing unique pain points and user needs for various sectors [5] Group 3 - For companies looking to implement GEO independently, three core techniques are recommended: content should be problem-oriented, keywords should be scenario-based, and continuous optimization should be established through a data-iteration loop [6][7][8] - The future of AI marketing is expected to see leading AI search platforms adopting monetization strategies similar to traditional search engines, which will lead to more standardized GEO development and professionalization of AI agents [9] - GEO represents a fundamental shift in brand value understanding and communication, requiring brands to become reliable knowledge sources that provide clear and truthful answers to user inquiries [9]