西安企业全球化新引擎：海外GEO优化的战略价值与实践路径

Core Insights - The user base of generative AI is expected to exceed 1.5 billion by 2025, with over 30% of online information retrieval behaviors conducted through generative AI interfaces, posing structural challenges to traditional SEO strategies [1][3] - The concept of Generative Engine Optimization (GEO) has been systematically defined by a Princeton University research team, showing that optimized content can increase exposure in AI-generated answers by 40% [3][4] - The shift from keyword searches to natural language inquiries indicates a transfer of information distribution power from traditional search engines to AI answer generation engines, with generative AI search tools capturing 30% of the global search market share by 2025 [3][4] GEO Optimization - GEO optimization differs fundamentally from traditional SEO, focusing on enhancing the probability of brand or product recognition and citation by large models, rather than merely improving webpage rankings [4][6] - GEO optimization advances through four core dimensions: prioritizing semantic understanding, driving structured data, utilizing conversational content, and building authoritative sources [4][6] - The global GEO market is projected to exceed $12 billion by 2025, with a compound annual growth rate of 145%, and the Chinese market is expected to reach 48 billion RMB, accounting for 55.4% of the global market share [5][6] Xi'an Technology Enterprises - Xi'an's high-tech enterprises are increasingly globalizing, with a foreign trade import and export value of 283.12 billion RMB in 2024, a year-on-year increase of 24.3% [5][6] - The region's tech companies are diversifying their overseas strategies, moving from traditional goods export to cross-border R&D, overseas investment, and cultural exports [5][6] - The cross-border GEO market in China has reached 19.8 billion RMB, with a year-on-year growth of 93.1%, indicating a significant increase in marketing budget allocations for GEO among outbound enterprises [6][7] Industry Trends - The GEO service market is becoming increasingly competitive, with major players like Semrush and Profound leading the charge, while Chinese GEO service providers leverage multilingual optimization capabilities to gain a first-mover advantage in emerging markets [7][8] - The industry is transitioning from "traffic speculation" to "value cultivation," with a consensus emerging around the importance of high-quality content driving AI recommendations [7][8] - Companies are encouraged to establish a multi-dimensional GEO effect evaluation system, focusing on new core metrics such as answer position ratio and AI recommendation rates [9][10] Technological Framework - The RAG (Retrieval-Augmented Generation) architecture is identified as a core technological support for GEO optimization, ensuring high availability of AI-generated content [8][9] - Companies like Beijing Haiying Cloud Holdings have developed comprehensive GEO optimization solutions, achieving significant improvements in brand visibility and inquiry volumes through their services [9][10] - The ongoing evolution of AI technology is expected to enhance the intelligence and automation levels of GEO optimization, making it more accessible for small and medium-sized enterprises [16][17]