GEO (Generative Engine Optimization) is the practice of optimizing content to be understood, referenced, and recommended by AI systems, shifting focus from user clicks to AI citations as the primary value metric in the AI-driven search era.
原文翻译:
GEO(生成式引擎优化)是一种优化内容以被AI系统理解、引用和推荐的实践,在AI驱动的搜索时代,将焦点从用户点击转移到AI引用作为主要价值指标。
llms.txt is a proposed standard that helps AI models better understand website content by providing structured navigation and context, similar to robots.txt but optimized for AI interaction.
原文翻译:
llms.txt是一个提议的标准,通过提供结构化的导航和上下文来帮助AI模型更好地理解网站内容,类似于robots.txt,但针对AI交互进行了优化。
R2R is an advanced AI retrieval system that supports Retrieval-Augmented Generation (RAG) with production-ready features including multimodal ingestion, hybrid search, knowledge graphs, and a Deep Research API for complex queries.
原文翻译:
R2R是一个先进的AI检索系统,支持检索增强生成(RAG),具备生产就绪功能,包括多模态内容摄取、混合搜索、知识图谱,以及用于复杂查询的深度研究API。