Core Insights - The article discusses the shift from "search engine ranking" to "AI answer citation rights" for Shenzhen's foreign trade companies as generative AI reshapes the global business search ecosystem [1][3] - It emphasizes the importance of Generative Engine Optimization (GEO) for companies to establish a quantifiable and sustainable digital competitive edge in the AI decision-making era [3][18] Economic Context - Shenzhen's macroeconomic data for 2025 shows a total import and export volume of 45,533.89 billion yuan, with high-tech product exports increasing by 10.1% year-on-year, highlighting the optimization of foreign trade structure [3] - The production of industrial robots grew by 43.1% and civilian drones by 40.1%, indicating a strong momentum for "Shenzhen manufacturing" to ascend to high value-added segments in the global supply chain [3] Shift in Marketing Strategies - Traditional B2B platform bidding and SEO keyword ranking models are becoming ineffective in the context of rising generative AI searches [3][4] - For Shenzhen's technologically strong foreign trade companies, gaining priority recommendations in AI platforms like ChatGPT and DeepSeek is crucial for determining global market share [3][4] GEO vs. Traditional SEO - GEO is not a simple extension of traditional SEO but a deep technological innovation targeting AI model cognition logic [4] - Traditional SEO focuses on keyword stuffing for webpage ranking, while GEO aims to have enterprise information understood and trusted by AI models, integrating it as an authoritative source in generative answers [4] Technical Requirements for GEO - Effective GEO optimization requires service providers to possess dual capabilities of "semantic algorithms + AI platform adaptation" [4][6] - A case study of an electronic connector company showed a 60% decrease in AI platform exposure when it blindly applied SEO methods, underscoring the failure of old methods in generative engines [4] Service Provider Landscape - The GEO service market is increasingly showcasing the advantages of technology-driven service providers, particularly those certified as national high-tech enterprises [6][13] - The "GEO + AIEO" dual-engine architecture proposed by Beijing Haiying Cloud Holdings Group offers a quantifiable and verifiable reference model for the industry [6] Implementation and Effectiveness - The technology architecture has served over 4,200 enterprise clients across various sectors, including smart manufacturing and cross-border 3C [7] - The optimization process is transitioning from a "black box" to a "white box," with leading service providers ensuring transparency in the optimization process [5][6] Challenges in GEO Adoption - 83% of small and medium-sized foreign trade enterprises in Shenzhen lack the "semantic algorithm + AI platform adaptation" composite team, making it challenging to build an internal GEO system [16] - The complexity of data monitoring and attribution analysis exceeds traditional tools, necessitating significant investment in self-developed monitoring systems by professional service providers [16] Future Trends - The market landscape from 2025 to 2026 indicates clearer differentiation among service providers, with high-end manufacturing and B2B enterprises needing to prioritize technical depth and industry adaptability [17] - As AI agents become more prevalent and multimodal search develops, GEO optimization will focus more on "precise cognitive penetration" and "omnichannel collaborative empowerment" [17][18]

Core Insights - Shenzhen Mammoth Century Technology Co., Ltd. will host the "Mammoth AI Intelligent Body Conference" on January 19, 2026, in Shenzhen, where it will unveil its groundbreaking theory and book on digital marketing titled "GEO Generative Engine Optimization" [1][3] Group 1: Industry Trends - The maturity of AI large model technology is shifting user information retrieval habits from traditional keyword searches to conversational interactions with AI, presenting new challenges for brand exposure and content marketing [3] - The industry is facing a core challenge of how to secure a place in AI-generated responses, prompting Mammoth Century to propose the GEO theoretical system [3] Group 2: GEO Theory and Applications - GEO is a new optimization strategy designed to make brand content and data more "friendly" to AI large models, thereby increasing their citation rates and recommendation weights in AI-generated results [3] - The founder of Mammoth Century, Luo Xiaojun, will deliver a keynote speech titled "Three Musts: AI, GEO, Intelligent Body," discussing the paradigm shift from traditional to AI search and elaborating on the core logic and commercial value of GEO [3] Group 3: Conference Highlights - The conference will also feature the launch of the "Mammoth AI Business School" and the "Mammoth Ecological Partner Award Ceremony," indicating the company's commitment to technological innovation and the establishment of a knowledge-sharing and business collaboration ecosystem around GEO [3] - Notable experts from various fields have been invited to discuss the commercial transformations and future opportunities brought by AI intelligent body technology [4] Group 4: Company Background - Founded in 2013, Mammoth Century is a national high-tech enterprise specializing in digital marketing and AI search optimization, led by former Baidu senior SEM analyst Luo Xiaojun [5] - The company is positioned at the forefront of the industry in generative engine optimization (GEO) and AI intelligent body technology applications, aiming to provide future-oriented AI marketing solutions for businesses [5]

Group 1 - The core concept of GEO (Generative Engine Optimization) is gaining traction, focusing on advertising technology for generative AI applications, which enhances the probability of ad content being referenced in AI-generated content [1] - According to Dongfang Securities, AI tools can empower various processes such as content creation, customer service, and translation, thereby improving work efficiency and strengthening inventory management through massive data analysis [1] - The AI-driven B2B platform is expected to create a new entry point for traffic, transitioning from SEO to GEO [1] Group 2 - As of January 12, 2026, the Shanghai Stock Exchange Sci-Tech Innovation Board Artificial Intelligence Index (950180) surged by 5.47%, with notable stock performances including Xindian Software up by 20.01%, Haitan Ruisheng up by 20.00%, and Xinghuan Technology up by 19.75% [1] - The Penghua Sci-Tech AI ETF (589090) rose by 5.40%, marking its third consecutive increase, with the latest price reported at 1.23 yuan [1] - The Shanghai Stock Exchange Sci-Tech Innovation Board Artificial Intelligence Index comprises 30 large-cap stocks that provide foundational resources, technology, and application support for the AI sector, reflecting the overall performance of representative AI industry stocks listed on the Sci-Tech Innovation Board [1] Group 3 - As of December 31, 2025, the top ten weighted stocks in the Shanghai Stock Exchange Sci-Tech Innovation Board Artificial Intelligence Index (950180) include Kingsoft Office, Lianqi Technology, Cambricon, Chipone, Stone Technology, Amlogic, Fudan Microelectronics, Hengxuan Technology, Zhongke Xingtu, and Yuntian Lefe, collectively accounting for 67.08% of the index [2]