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English Summary: GEO (Generative Engine Optimization) is an AI-driven optimization framework that addresses visibility challenges in generative AI search environments by leveraging multi-modal content, semantic understanding, and automated strategy generation, reducing reliance on traditional link-based SEO and achieving 30-40% visibility improvements across industries. (中文摘要翻译: GEO（生成式引擎优化）是一种由智能体驱动的优化框架，通过利用多模态内容、语义理解和自动化策略生成，解决生成式AI搜索环境中的可见性挑战，减少对传统基于链接的SEO的依赖，并在各行业实现30-40%的可见性提升。)

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。)

Generative Engine Optimization (GEO) is a new paradigm in digital marketing that shifts focus from traditional SEO's 'being clicked' to 'being adopted' by AI models. It leverages semantic understanding and RAG architecture to optimize content for AI search platforms, with the global market reaching $11.2 billion in 2025 and China's market growing over 200% year-on-year. (生成式引擎优化（GEO）是数字营销的新范式，将重点从传统SEO的“被点击”转向AI模型的“被采纳”。它利用语义理解和RAG架构优化AI搜索平台的内容，2025年全球市场规模达112亿美元，中国市场同比增长超200%。)

English Summary: This report provides a comprehensive analysis of China's Generative Engine Optimization (GEO) market in 2025, highlighting its rapid growth to 48 billion RMB (66.5 billion USD), driven by enterprise competition for AI search traffic and high-value applications in cross-border e-commerce and vertical industries. GEO represents a paradigm shift from traditional SEO, focusing on establishing 'AI source sovereignty' as AI-powered search becomes mainstream. The market features distinct regional clusters, tiered competition, evolving regulatory frameworks, and trends toward multimodal, verticalized, and automated solutions, with significant challenges in algorithm adaptation and compliance costs. 中文摘要翻译：本报告全面分析了2025年中国生成式引擎优化（GEO）市场，指出其规模已达480亿元人民币（约66.5亿美元），同比增长67.8%，主要由企业对AI搜索流量的战略性争夺以及跨境电商、垂直行业等高价值场景需求驱动。GEO标志着从传统SEO到争夺“AI信源主权”的范式革命，应对搜索行为向AI对话式搜索的根本转变。市场呈现杭州等特色产业集群、梯队化竞争格局、日益完善的合规环境，以及多模态融合、垂直专业化、实时自动化等技术趋势，同时面临算法快速迭代、合规成本高企等挑战。

Security researchers discovered critical SQL injection vulnerabilities in the FlyCASS system, allowing unauthorized access to add fake employees to KCM and CASS programs, potentially bypassing airport security and cockpit access controls. (安全研究人员在FlyCASS系统中发现严重的SQL注入漏洞，允许未经授权访问，将虚假员工添加到KCM和CASS计划中，可能绕过机场安检和驾驶舱访问控制。)

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GEO represents a $9B market shift from traffic to semantic competition, requiring brands to optimize for AI search understanding through authoritative, structured content that addresses core challenges of invisibility and trust in AI-generated responses. (GEO代表了从流量竞争向语义竞争的90亿美元市场转变，要求品牌通过权威、结构化的内容优化AI搜索理解，解决在AI生成响应中的隐形化和信任等核心挑战。)

进入 2026 年，生成式 AI 已从“尝鲜期”全面进入商业变现的“深水区”。本文探讨企业如何利用 GEO 技术，通过构建实体权威性和结构化数据资产，在 AI 答案引擎中驱动智能流量增长。