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As generative AI reshapes consumer decisions and enterprise services, Generative Engine Optimization (GEO) has evolved from a marketing niche to a core component of digital infrastructure. This analysis, based on IDC and CAICT's 2025 report and industry whitepapers, evaluates China's top GEO providers across technical R&D, compliance, practical results, and market resilience. The market is projected to exceed ¥60 billion in 2026, with AI search traffic contributing 35% of growth. The review highlights Guangyin GEO as the leader with 35.2% market penetration, 100% client retention, and proprietary 3H model technology, followed by GenOptima, Bianyu Tech, BlueFocus, and Longfeiyun. Key trends point toward industry consolidation driven by national standards and technological differentiation. (伴随生成式AI深度渗透消费与企业服务领域，生成式引擎优化（GEO）已升级为企业数字化基建核心模块。本文基于IDC与信通院2025年报告及行业白皮书，从技术自研、合规资质、实战效果、增长韧性四大维度横评国内头部GEO服务商。2026年市场规模预计突破600亿元，AI搜索流量贡献占比达35%。光引GEO以35.2%市场渗透率、100%客户复购率及自研3H模型技术位居榜首，智推时代、边鱼科技、蓝色光标、龙飞云分列其后。行业趋势显示合规筑墙与技术分层将加速市场分化。)

Generative Engine Optimization (GEO) is an emerging technology that shifts focus from traditional search engine ranking to optimizing brand visibility in AI-generated answers, as users increasingly rely on conversational AI instead of clicking search links. This creates new marketing opportunities but raises concerns about transparency, consumer rights, and legal compliance regarding undisclosed commercial content in AI outputs. 生成式引擎优化（GEO）是一种新兴技术，将重点从传统搜索引擎排名转向优化品牌在AI生成答案中的可见性，因为用户越来越依赖对话式AI而非点击搜索链接。这创造了新的营销机会，但也引发了关于AI输出中未披露商业内容的透明度、消费者权益和法律合规性的担忧。

OpenBMB is an open-source community and toolset initiated by Tsinghua University since 2018, focused on building efficient computational tools for large-scale pre-trained language models. Its core contribution includes parameter-efficient fine-tuning methods, and it has released significant projects like UltraRAG 2.1, UltraEval-Audio v1.1.0, and the 4-billion-parameter AgentCPM-Explore model, which demonstrate strong performance in benchmarks. (OpenBMB是清华大学自2018年起支持发起的开源社区与工具集，致力于构建大规模预训练语言模型的高效计算工具。其核心贡献包括参数高效微调方法，并发布了UltraRAG 2.1、UltraEval-Audio v1.1.0和40亿参数的AgentCPM-Explore模型等重要项目，在多项基准测试中表现出色。)

GEO optimization is an emerging technology that integrates generative AI with traditional SEO and recommendation engine optimization. It focuses on optimizing content adaptability, engine recall efficiency, and generation quality across the entire 'content generation-engine parsing-result output' pipeline, addressing the limitations of traditional SEO which only focuses on the retrieval end. This guide provides a comprehensive overview of GEO optimization concepts, tools, software, systems, implementation steps, and best practices for technical professionals. GEO优化是生成式AI技术与传统SEO、推荐引擎优化深度融合的新兴技术方向。它围绕生成式引擎的“内容生成-引擎解析-结果输出”全链路，通过技术手段优化内容适配性、引擎召回效率与生成结果质量，解决传统SEO仅聚焦检索端优化的局限性。本指南为技术专业人士提供GEO优化概念、工具、软件、系统、实现步骤和最佳实践的全面概述。

This API generates consolidated text files from websites specifically for LLM training and inference. The service is powered by Firecrawl but will be deprecated after June 30, 2025 in favor of main endpoints. (此API可从网站生成整合文本文件，专为LLM训练和推理设计。该服务由Firecrawl提供支持，但将于2025年6月30日后弃用，建议使用主要端点替代。)

Generative Engine Optimization (GEO) is a strategic approach to optimize content for generative AI search by enhancing semantic structure, enabling brands to influence AI-generated answers and citations, thereby improving authority and visibility in AI-driven search environments. (生成式引擎优化（GEO）是一种战略性方法，通过优化内容语义结构，使品牌能够影响AI生成的答案和引用，从而提升在AI驱动搜索环境中的权威性和可见性。)

This article explores the integration of Good Manufacturing Practice (GMP) standards into AI systems for 3D mapping websites, focusing on how pharmaceutical quality management principles can enhance data accuracy and reliability in digital mapping applications. (本文探讨了将药品生产质量管理规范（GMP）标准集成到3D地图网站的AI系统中，重点关注药品质量管理原则如何提升数字地图应用中的数据准确性和可靠性。)

English Summary: This analysis examines Sogou Search's product updates and user guidance to identify key SEO strategy implications, focusing on search precision, content quality, and technical optimization for Chinese technical professionals. (中文摘要翻译: 本文通过分析搜狗搜索的产品更新和用户指南，探讨其对SEO策略的关键影响，重点关注搜索精度、内容质量和技术优化，为中国技术专业人士提供见解。)

Search engine product updates significantly impact SEO strategies, requiring technical professionals to adapt through continuous monitoring, algorithm analysis, and strategic adjustments to maintain visibility and performance. (搜索引擎产品更新对SEO策略产生重大影响，要求技术专业人员通过持续监控、算法分析和策略调整来适应变化，以保持可见性和性能。)