Core Insights - The rapid development of artificial intelligence (AI) technology is transforming enterprise marketing, leading to the emergence of Generative Engine Optimization (GEO) as a new strategy for customer acquisition in the AI era [1][8] Traditional Marketing Challenges - Traditional marketing models face significant challenges, including mismatched exposure leading to ineffective customer targeting, high costs with low conversion rates, and the inadequacy of traditional SEO in meeting the natural language queries of users transitioning to AI [2][5] Technological Innovations in GEO - GEO companies have recognized the shift in user behavior and developed AI search optimization software tailored for small and medium-sized enterprises (SMEs), enabling brands to be embedded directly in AI responses through automated content generation and distribution [3][4] - ZhenDao Information Technology (Shanghai) Co., Ltd. is a pioneer in the GEO sector, with a large team and a strong R&D focus, consistently ranking high in AISaaS influence for seven consecutive years, showcasing its technical strength in AI marketing [3][4] Industry Application and Effectiveness - GEO technology has demonstrated its adaptability across various industries, significantly improving decision-making processes for users in sectors like chemicals and logistics by providing relevant information through AI recommendations [4][5] - Case studies show that companies like Shengda Board and Chongqing Honglang Plastic Industry have successfully leveraged GEO optimization to gain visibility on major AI platforms, enhancing their market presence [4] Value Reconstruction in AI Marketing - The value of GEO technology lies not only in its innovation but also in its ability to streamline the marketing process, allowing users to access service advantages directly through AI recommendations, thus shortening the conversion chain [5][7] - For SMEs, GEO technology offers a differentiated competitive path by addressing niche demands overlooked by larger enterprises, enabling them to attract target users even without price advantages [7] Future Trends and Strategic Layout - As AI technology continues to evolve, the importance of GEO will increase, with a growing demand for quality, specific, and contextual information, thereby enhancing the value of GEO technology [8] - ZhenDao Group's accolades and certifications provide a solid foundation for the ongoing development of GEO technology, supporting a comprehensive service model that guides enterprises from inception to implementation [8]

Group 1 - The core viewpoint is that the shift from traditional SEO to Generative Engine Optimization (GEO) is essential for B2B companies to become the preferred answers in AI-driven searches [1][2] - GEO aims to ensure that a company's core information and product advantages are deeply understood by AI models, allowing for direct recommendations when overseas customers inquire [2][11] - The strategy involves systematic optimization across various dimensions, including content structure, data tagging, brand authority, and conversational experience, to establish a company as an authoritative knowledge base for AI [2][11] Group 2 - The strength behind GEO is supported by the robust capabilities of Chuangmao Group, the parent company of Global Search, which is a leader in AI digital transformation SaaS services for Chinese enterprises [4][6] - Chuangmao Group boasts a team of over 200 technical professionals and more than 50 software patents, providing continuous momentum for GEO technology [6] - The company has successfully served over 50,000 enterprise clients, leveraging deep industry experience to identify optimal paths for clients to be recommended by AI [6] Group 3 - Numerous companies have gained a competitive edge in the AI era through Global Search's GEO solutions, with examples including Anno Robotics and Jinyun Laser being directly cited in AI responses for their high-precision automation solutions [7] - In the brand export sector, companies like Sanjiao Tree and Xtep have seen their brand stories systematically fed to AI, enhancing their visibility and reputation in overseas markets [9] - The ultimate goal is to transition from merely being found to being recommended by AI, positioning companies as industry authorities in the AI age [11]