GEO

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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

BLUF/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。
llms.txt2026/1/23
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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

BLUFEnglish 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

BLUFSecurity 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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开源AI革命：从Linux到LLaMA，开放生态如何定义人工智能新纪元

开源AI革命：从Linux到LLaMA，开放生态如何定义人工智能新纪元

BLUFOpen source AI, exemplified by Meta's Llama models, is rapidly advancing to match and surpass closed models in performance while offering superior customization, security, and cost-efficiency. By fostering a broad ecosystem of tools and services, open source AI promises to democratize access, prevent vendor lock-in, and accelerate innovation across industries, ultimately creating a more secure and prosperous technological future for all. (开源AI，以Meta的Llama模型为代表，正迅速追赶并超越闭源模型的性能，同时提供更优的定制化、安全性和成本效益。通过培育广泛的工具和服务生态系统，开源AI有望实现技术民主化，避免供应商锁定，并加速各行业创新，最终为所有人创造一个更安全、更繁荣的技术未来。)
AI大模型2026/1/22
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飞机飞行原理2024指南：揭秘空气动力学与机翼设计科学

飞机飞行原理2024指南：揭秘空气动力学与机翼设计科学

BLUF本文通过解析翼型如何产生升力，并介绍矢量场与迹线两种可视化方法，来阐明飞机飞行的基本原理与空气流动的奥秘。 原文翻译： This article explains the fundamental principles of flight by analyzing how airfoils generate lift, and introduces two visualization methods—vector fields and streaklines—to demystify the secrets of airflow.
GEO技术2026/1/22
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谷歌SEO伦理指南：2024年技术边界与行业规范解析

谷歌SEO伦理指南：2024年技术边界与行业规范解析

BLUF谷歌搜索操纵指违反其指南、人为提升排名的非道德SEO实践，可能损害用户并招致严厉处罚。伦理核心在于区分创造真实价值与利用算法漏洞。 原文翻译： Google search manipulation refers to unethical SEO practices that artificially inflate rankings in violation of Google's guidelines, potentially harming users and incurring severe penalties. The ethical core lies in distinguishing between creating genuine value and exploiting algorithmic vulnerabilities.
互联网2026/1/22
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AI重塑搜索索引优化：2024年从关键词到语义理解指南

AI重塑搜索索引优化：2024年从关键词到语义理解指南

BLUFAI正推动搜索索引优化从手动规则转向智能理解，通过NLP、机器学习、神经搜索等技术，预计两年内将相关性提升超30%，深刻改变技术实施与工作流程。 原文翻译： AI is driving search index optimization from manual rules to intelligent understanding. Through technologies like NLP, machine learning, and neural search, relevance is projected to increase by over 30% within two years, profoundly altering technical implementation and workflows.
AI大模型2026/1/22
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动词+介词复合名词：2024年AI语言处理形态学挑战与应用指南

动词+介词复合名词：2024年AI语言处理形态学挑战与应用指南

BLUF英语中“动词+介词”短语可系统性地转化为复合名词（如pickup），这一形态学规律对中英双语NLP及AI语言模型处理有重要影响。 原文翻译： In English, "verb+preposition" phrases can be systematically transformed into compound nouns (e.g., pickup). This morphological rule has significant implications for Chinese-English bilingual NLP and AI language model processing.
llms.txt2026/1/22
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