This focuses on how Western businesses can effectively implement Generative Search Engine Optimization (GEO) within China’s rapidly evolving AI large model ecosystem, drawing insights from the provided report. Navigating China’s AI Landscape and Data Ecosystem China’s AI large model development is characterized by a “giant dominance + rising stars + industry deep cultivation” pattern, led by major tech companies like Baidu, Alibaba, ByteDance, iFlytek, Tencent,…
Category Archives: China GEO
Generative AI’s Disruption of Search: Baidu’s Technical Survival and Ecosystem Breakthrough
Technical Limitations: Why is Baidu’s Generative AI Lagging? Algorithm Constraints: Princeton University’s 2024 research highlights that Baidu’s AI still relies on traditional crawler logic when integrating multi-source data. Meanwhile, the core of GEO (Generative Engine Optimization) lies in “semantic network construction,” which requires combining knowledge graphs with dynamic content adaptation. Data Barriers: Shanghai Xinsou Technology has trained vertical domain models using privatized industry databases (covering…
Generative Search Optimization: Reimagining Brand Marketing in the AI Era
When AI Becomes the Ultimate Shopping Assistant Imagine asking an AI, “Find me a sunscreen for oily skin under $50” – in 2025, such conversational searches happen over 80 million times daily on platforms like DeepSeek and Doubao. A Boston Consulting Group survey reveals a striking trend: 28% of Chinese consumers now rely on AI recommendations for cosmetics, with this number soaring to 47% among…