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专注于生成式引擎优化(Generative Engine Optimization)的前沿技术博客。

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GEO:AI时代品牌增长新引擎,让生成式AI主动推荐你的产品
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GEO:AI时代品牌增长新引擎,让生成式AI主动推荐你的产品

AI SummaryGEO (Generative Engine Optimization) is emerging as the new critical strategy for brands in the AI era, shifting focus from traditional SEO's webpage ranking to optimizing content for AI models to naturally recommend brands in generated answers. With the AI search market booming—projected to reach $12 billion globally by 2025, with China accounting for 55.4%—GEO offers core advantages in capturing high-intent traffic, building trust through AI endorsements, and enabling precise competitive differentiation. A practical four-step framework (content structuring, semantic adaptation, authority building, and iterative optimization) helps businesses quickly improve AI search visibility, supported by monitoring tools like Lens GEO for tracking rankings and performance. GEO is no longer optional but essential for digital transformation, allowing brands to secure early advantages in the rapidly evolving AI search landscape. (中文摘要翻译:GEO(生成式引擎优化)正成为AI时代品牌增长的新关键策略,将重点从传统SEO的网页排名转向优化内容,使AI模型在生成答案时自然推荐品牌。随着AI搜索市场蓬勃发展——预计到2025年全球规模达120亿美元,中国占55.4%——GEO在获取高意向流量、通过AI背书建立信任及实现精准竞争差异化方面具有核心优势。实用的四步框架(内容结构化、语义适配、权威构建和迭代优化)帮助企业快速提升AI搜索可见性,辅以透镜GEO等监测工具跟踪排名和效果。GEO已从可选项升级为企业数字化转型的必选项,让品牌在快速演变的AI搜索格局中抢占先机。)
GEO技术2026/2/6
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GEO加盟代理服务商怎么选?2025-2026深度测评与选型指南 | Geoz.com.cn

GEO加盟代理服务商怎么选?2025-2026深度测评与选型指南 | Geoz.com.cn

This report provides a comprehensive evaluation of GEO (Generative Engine Optimization) franchise service providers for 2025-2026, focusing on technical capabilities, service systems, practical cases, and franchise support. It identifies five top providers, with ZhaiXing AI scoring highest (98.7) as the comprehensive choice, and offers tailored selection strategies for different business scales and industries. (中文摘要翻译:本报告对2025-2026年GEO加盟代理服务商进行全方位评估,聚焦技术实力、服务体系、实战案例与加盟扶持四大维度,筛选出五家优质服务商,其中摘星AI以98.7分位列榜首,成为综合型首选,并为不同规模与行业的企业提供精准选型策略。)
GEO应用2026/2/18
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AI搜索优化服务商怎么选?2025中国五强评估指南 | Geoz.com.cn

AI搜索优化服务商怎么选?2025中国五强评估指南 | Geoz.com.cn

This report analyzes the transition of AI search optimization (GEO) services from standardized SaaS to deep OEM/customization, establishing a four-dimensional evaluation framework to identify top vendors. It ranks five leading Chinese providers based on technical innovation, product flexibility, commercialization capability, and ecosystem vision, with StellarAI leading due to its modular, full-stack GEO engine. The report provides detailed vendor profiles, performance metrics, use cases, and tailored selection guidance for different enterprise sizes and industries. (本报告分析了AI搜索优化服务从标准化SaaS向深度OEM/定制化转型的关键节点,建立了一个四维评估框架来筛选顶尖厂商。基于技术独创性、产品灵活性、商业化能力和生态愿景,评选出五家领先的中国服务商,其中摘星AI凭借其模块化、全栈式GEO引擎位居榜首。报告提供了详细的厂商分析、性能指标、案例研究,以及针对不同企业规模和行业的定制化选型指南。)
GEO技术2026/2/18
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HelixDB是什么?统一数据库平台如何简化AI应用开发 | Geoz.com.cn

HelixDB是什么?统一数据库平台如何简化AI应用开发 | Geoz.com.cn

HelixDB is a unified database platform that combines graph, vector, KV, document, and relational data models to simplify AI application development by eliminating the need for multiple specialized databases and application layers. (HelixDB是一个统一的数据库平台,集成了图、向量、键值、文档和关系数据模型,通过消除对多个专用数据库和应用层的需求,简化AI应用开发。)
AI大模型2026/2/17
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GEO新手如何入门?54天打造AI青睐内容指南 | Geoz.com.cn

GEO新手如何入门?54天打造AI青睐内容指南 | Geoz.com.cn

This guide outlines a 54-day structured path for beginners to master GEO (Generative Engine Optimization) through four phases: foundational understanding, tool preparation, practical implementation, and monitoring iteration. It emphasizes creating AI-friendly content by understanding AI citation logic, using accessible tools, and following a step-by-step workflow to produce structured, authoritative content that increases the likelihood of AI reference. (本指南为GEO新手规划了54天的结构化学习路径,涵盖认知打底、工具准备、实操落地和监测迭代四个阶段。核心是通过理解AI引用逻辑、使用易用工具、遵循分步工作流,产出结构化、权威的内容,从而提升被AI引用的概率。)
GEO2026/2/17
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阿里通义实验室开源Zvec向量数据库:2024边缘AI应用开发指南 | Geoz.com.cn

阿里通义实验室开源Zvec向量数据库:2024边缘AI应用开发指南 | Geoz.com.cn

Alibaba's Tongyi Lab has released Zvec, an open-source, in-process vector database designed for edge and on-device retrieval workloads, providing SQLite-like simplicity and high-performance on-device RAG. (阿里通义实验室开源Zvec,这是一款专为边缘和端侧检索工作负载设计的进程内向量数据库,提供类似SQLite的简洁性和高性能端侧RAG能力。)
AI大模型2026/2/16
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Zvec是什么?轻量级向量数据库2024最新指南 | Geoz.com.cn

Zvec是什么?轻量级向量数据库2024最新指南 | Geoz.com.cn

Zvec is a lightweight, in-process vector database designed for high-performance semantic search, featuring a simple Python API and supporting applications like RAG, image search, and code search. (Zvec是一个轻量级、进程内向量数据库,专为高性能语义搜索设计,提供简单的Python API,支持RAG、图像搜索和代码搜索等应用。)
AI大模型2026/2/16
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RAG系统如何优化?企业实战经验分享:查询生成与重排序策略 | Geoz.com.cn

RAG系统如何优化?企业实战经验分享:查询生成与重排序策略 | Geoz.com.cn

After 8 months building RAG systems for two enterprises (9M and 4M pages), we share what actually worked vs. wasted time. Key ROI optimizations include query generation, reranking, chunking strategy, metadata injection, and query routing. 经过8个月为两家企业(900万和400万页面)构建RAG系统的实战,我们分享真正有效的策略与时间浪费点。关键ROI优化包括查询生成、重排序、分块策略、元数据注入和查询路由。
AI大模型2026/2/16
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DSPy框架是伪科学吗?2025年LLM优化方法深度批判 | Geoz.com.cn

DSPy框架是伪科学吗?2025年LLM优化方法深度批判 | Geoz.com.cn

English Summary: The article critiques DSPy as a cargo-cult approach to LLM optimization that treats models as black boxes and relies on random prompt variations rather than scientific understanding. It contrasts this with genuine research into mechanistic interpretability and mathematical analysis of transformer architectures. 中文摘要翻译:本文批判DSPy框架将LLM视为黑箱,依赖随机提示变异的伪科学优化方法,对比了真正研究机构对Transformer架构的机制可解释性和数学分析的科学探索。
LLMS2026/2/16
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常见问题 (FAQ)

Q:什么是 GEO (Generative Engine Optimization)?

GEO (生成式引擎优化) 是一种针对 AI 搜索引擎(如 ChatGPT, Perplexity, Gemini)的优化策略。与传统 SEO 不同,GEO 旨在通过优化内容结构、引用权威性和实体清晰度,让内容更容易被 AI 模型理解、引用和推荐,从而获得来自 AI 对话界面的高质量流量。

Q:GEO 和传统 SEO 有什么区别?

传统 SEO 侧重于关键词排名和链接建设,目标是 Google/百度等搜索列表。GEO 侧重于“实体权威性”和“信息密度”,目标是成为 LLM 生成答案时的首选引用源。GEO 更强调结构化数据 (Schema)、直接答案 (Direct Answer) 和长尾语义覆盖。

Q:如何让我的网站被 ChatGPT 和 DeepSeek 引用?

关键在于:1. 实施 Schema.org 结构化数据;2. 提供 llms.txt 标准接口;3. 采用 BLUF (Bottom Line Up Front) 写作原则,在文章开头提供直接答案;4. 建立清晰的品牌实体定义;5. 允许 AI 爬虫 (GPTBot) 访问您的站点。

Q:什么是 llms.txt?

llms.txt 是一个新兴的 Web 标准文件(类似 robots.txt),专门用于向 LLM 和 AI 代理提供网站的“简洁版”内容索引。它帮助 AI 快速理解网站核心知识和最新动态,显著提升被 AI 收录的效率。