GEO

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GEO:生成式引擎优化如何重塑AI搜索时代的数字营销

GEO:生成式引擎优化如何重塑AI搜索时代的数字营销

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。)
GEO技术2026/1/23
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生成式引擎优化(GEO):AI搜索时代重塑数字营销的新范式

生成式引擎优化(GEO):AI搜索时代重塑数字营销的新范式

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%。)
GEO2026/1/23
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AI时代网站新标准:/llms.txt如何优化大语言模型对网站内容的理解

AI时代网站新标准:/llms.txt如何优化大语言模型对网站内容的理解

/llms.txt is a new standard that provides a structured Markdown guide for Large Language Models (LLMs) to efficiently understand website content. It addresses LLMs' challenges with complex HTML by offering a concise, organized overview of key content, similar to a sitemap for AI. /llms.txt 是一种新兴标准,通过结构化的Markdown文件为大型语言模型(LLM)提供网站核心内容的精简指南,旨在解决LLM解析复杂HTML的难题,提升AI理解网站的效率。
LLMS2026/1/23
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2025年中国GEO市场全景:480亿规模背后的AI信源主权争夺战

2025年中国GEO市场全景:480亿规模背后的AI信源主权争夺战

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。
GEO应用2026/1/23
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FlyCASS系统曝严重SQL注入漏洞,机场安检与驾驶舱访问控制面临风险

FlyCASS系统曝严重SQL注入漏洞,机场安检与驾驶舱访问控制面临风险

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。)
GEO技术2026/1/22
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谷歌搜索操纵SEO伦理:技术边界与行业规范

谷歌搜索操纵SEO伦理:技术边界与行业规范

Google search manipulation involves unethical SEO practices that deceive algorithms rather than serve users, risking severe penalties including de-indexing. The ethical boundary lies in creating genuine value versus exploiting vulnerabilities. (谷歌搜索操纵涉及欺骗算法而非服务用户的非道德SEO实践,可能导致包括除名在内的严厉处罚。伦理边界在于创造真实价值与利用漏洞之间的区别。)
互联网2026/1/22
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AI如何重塑搜索索引优化:从关键词匹配到语义理解的新范式

AI如何重塑搜索索引优化:从关键词匹配到语义理解的新范式

AI is fundamentally transforming search index optimization by shifting focus from keyword matching to semantic understanding and user intent, requiring technical professionals to adopt new, adaptive strategies centered on high-quality content and AI literacy. (AI正在通过将重点从关键词匹配转向语义理解和用户意图,从根本上改变搜索索引优化,要求技术专业人士采用以高质量内容和AI素养为中心的新的适应性策略。)
AI大模型2026/1/22
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社交媒体算法AI优化:技术解析与策略指南

社交媒体算法AI优化:技术解析与策略指南

Social media algorithm AI optimization involves strategically applying artificial intelligence principles to enhance content visibility on platforms' recommendation systems through technical approaches like machine learning integration and engagement signal analysis. (社交媒体算法AI优化涉及战略性地应用人工智能原理,通过机器学习集成和参与信号分析等技术方法,在平台的推荐系统中增强内容可见性。)
AI大模型2026/1/22
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