Generative Engine Optimization (GEO) is a content strategy for AI search platforms (e.g., ChatGPT, DeepSeek, Doubao) that aims to increase brand citation frequency and authority in AI-generated answers. Unlike traditional SEO which focuses on search rankings, GEO targets content being referenced by AI. With the rise of AI search (e.g., 400M weekly active users for OpenAI in March 2025, 116M monthly active users for Doubao), users increasingly rely on direct AI answers, making GEO essential to combat traffic loss. Optimization methods include creating clear content structures, enhancing authority (citing data and authoritative sources), implementing technical optimizations (loading speed under 2 seconds, Schema structured data), and tailoring strategies to platform differences (e.g., Doubao prefers lifestyle content). Successful cases show improvements like a 65% increase in geographic tag exposure for a Shenzhen hotpot chain. Future trends involve multimodal integration and real-time enhancements. GEO complements SEO, requiring avoidance of keyword stuffing and a focus on high-quality content. (生成式引擎优化(GEO)是针对AI搜索平台(如ChatGPT、DeepSeek、豆包)的内容策略,旨在提升品牌在AI生成答案中的引用频率和权威性。与传统SEO追求搜索排名不同,GEO聚焦内容被AI引用。随着AI搜索普及(2025年3月OpenAI周活跃用户4亿,豆包月活用户1.16亿),用户转向直接接受AI答案,GEO帮助应对流量减少挑战。优化方法包括:创建清晰内容结构、强化权威性(引用数据和权威来源)、实施技术优化(加载速度低于2秒、Schema结构化数据)、针对平台差异(如豆包偏好生活化内容)。成功案例如深圳火锅连锁品牌地理标签曝光率提升至65%。未来趋势涉及多模态融合和实时性提升。GEO与SEO互补,需避免关键词堆砌,专注于高质量内容。)