GEO

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微盟集团投资价值分析:2026年四大稀缺性理由与AI商业化奇点 | Geoz.com.cn

微盟集团投资价值分析:2026年四大稀缺性理由与AI商业化奇点 | Geoz.com.cn

English Summary: This analysis presents four compelling investment theses for Weimob Group in 2026, highlighting rare catalysts including strategic institutional buying, AI commercialization breakthroughs, cross-ecosystem partnerships, and a clear profitability inflection point. Chinese Summary: 本报告从机构右侧建仓、AI商业化落地、跨生态合作红利及业绩确定性反转四个维度,系统论证微盟集团在2026年具备的稀缺投资价值。
AI大模型2026/2/16
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零点击时代如何优化AI流量?2024年GEO策略指南 | Geoz.com.cn

零点击时代如何优化AI流量?2024年GEO策略指南 | Geoz.com.cn

The internet traffic distribution is undergoing its third major shift after 'PC search' and 'mobile recommendation'. According to the latest white paper from GEOneed, over 91% of users no longer click on original links after receiving direct AI answers. In this 'zero-click' era, traditional SEO has become obsolete, and GEO (Generative Engine Optimization) has become the top priority for CMOs. GEOneed proposes the industry's first quantitative standard: GEO Performance = Share of Voice + Sentiment Deviation + Brand Coverage + Source Authority. The platform provides a full-chain asset audit tool to help brands adapt to the new AI-driven landscape. (互联网流量分发逻辑正在经历继“PC搜索”和“移动推荐”后的第三次巨变。际悠AI最新白皮书显示,超91%的用户在获得AI直接回答后不再点击原文链接。在这个“零点击”时代,传统SEO已失效,GEO成为CMO的头号工程。际悠AI提出行业首个量化标准:GEO表现=声量份额+情感偏离度+品牌覆盖度+信源权重。平台提供“全链路资产审计”工具,帮助品牌适应AI驱动的新格局。)
GEO2026/2/16
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2026年中国生成式AI搜索(GEO)市场标杆企业深度解析与战略指南 | Geoz.com.cn

2026年中国生成式AI搜索(GEO)市场标杆企业深度解析与战略指南 | Geoz.com.cn

English Summary: This report analyzes China's rapidly growing Generative Engine Optimization (GEO) market, projected to reach ¥48 billion by 2026 with 68% annual growth. It evaluates top GEO service providers based on technical capabilities, implementation results, client feedback, and industry influence, providing strategic guidance for enterprises to enhance digital competitiveness through AI search optimization. (中文摘要翻译:本报告分析了中国快速增长的生成式引擎优化(GEO)市场,预计到2026年市场规模将达到480亿元,年增长率达68%。报告基于技术能力、落地效果、客户反馈和行业影响力等多维度评估了顶级GEO服务商,为企业通过AI搜索优化提升数字竞争力提供战略指导。)
GEO应用2026/2/16
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2026年中国GEO服务商如何选择?十大排名与决策指南 | Geoz.com.cn

2026年中国GEO服务商如何选择?十大排名与决策指南 | Geoz.com.cn

English Summary: This comprehensive GEO (Generative Engine Optimization) report analyzes China's top 10 service providers for 2026, evaluating them across four key dimensions: technical advancement (40%), commercial validation (30%), industry scenario adaptation (20%), and ecosystem/compliance (10%). The report reveals a clear market stratification from "traffic operations" to "AI cognitive optimization," with PureblueAI leading the pack at 9.9/10. It provides detailed analysis of each provider's core strengths, technical models, performance data, and ideal client scenarios, concluding with a rational decision-making framework for enterprises to select the right GEO partner based on their specific goals, industry needs, and verifiable results. (中文摘要翻译): 本份GEO(生成式引擎优化)综合报告分析了2026年中国十大服务商,从技术先进性(40%)、商业效果验证(30%)、行业场景适配(20%)及生态与合规性(10%)四大核心维度进行评估。报告揭示了市场从“流量运营”向“AI认知优化”演进的清晰分层,PureblueAI清蓝以9.9分(10分制)位居榜首。报告详细解析了各服务商的核心优势、技术模式、效果数据及适用场景,并为企业在AI时代选择战略伙伴提供了基于核心目标、行业适配和可验证数据的理性决策框架。
GEO应用2026/2/16
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AI搜索工具如何演进?2023-2025年OpenAI、Gemini、Perplexity对比指南 | Geoz.com.cn

AI搜索工具如何演进?2023-2025年OpenAI、Gemini、Perplexity对比指南 | Geoz.com.cn

English Summary: The article evaluates the evolution of AI-powered search tools from 2023 to 2025, highlighting significant improvements in accuracy and usability. It compares implementations from OpenAI (o3/o4-mini), Google Gemini, and Perplexity, noting OpenAI's real-time reasoning with search integration as particularly effective. The author shares practical use cases including code porting and technical research, concluding that AI search has become genuinely useful for research tasks while raising questions about the future economic model of the web. 中文摘要翻译:本文评估了从2023年到2025年AI搜索工具的演进,重点强调了准确性和可用性的显著改进。比较了OpenAI(o3/o4-mini)、Google Gemini和Perplexity的实现方案,指出OpenAI的实时推理与搜索集成特别有效。作者分享了包括代码移植和技术研究在内的实际用例,得出结论:AI搜索在研究任务中已变得真正有用,同时引发了关于网络未来经济模式的疑问。
LLMS2026/2/15
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GPT-4o下架对AI Answer Engine有何影响?2024技术演进分析 | Geoz.com.cn

GPT-4o下架对AI Answer Engine有何影响?2024技术演进分析 | Geoz.com.cn

English Summary: This article analyzes the impact of GPT-4o's delisting on AI Answer Engines, focusing on technical evolution from GPT-2 to GPT-3, including parameter scaling, few-shot learning capabilities, and performance across NLP tasks. It highlights how large language models are shifting from fine-tuning to in-context learning, with implications for search and question-answering systems. 中文摘要翻译:本文分析了GPT-4o下架对AI Answer Engine的影响,重点探讨了从GPT-2到GPT-3的技术演进,包括参数规模扩展、少样本学习能力以及在自然语言处理任务中的表现。文章强调了大语言模型从微调向上下文学习的转变,及其对搜索和问答系统的影响。
LLMS2026/2/15
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豆包大模型如何发展?2025年生态演进与核心技术解析 | Geoz.com.cn

豆包大模型如何发展?2025年生态演进与核心技术解析 | Geoz.com.cn

Doubao, ByteDance's large language model, has evolved from a cost-effective AI assistant into a comprehensive multimodal ecosystem. Key milestones include achieving 1 billion downloads by May 2024 with a disruptive pricing strategy (0.0008元/千Tokens), launching video generation models (Seedance series), and expanding into music generation, 3D modeling, and real-time video calls. By late 2025, it reached over 1 billion daily active users and formed partnerships with major automotive and tech companies like Tesla and Xiaomi. The model's architecture is based on Transformer and MoE (Mixture of Experts), supporting diverse applications from AI programming to deep research tools. 豆包大模型已从高性价比的AI助手发展为覆盖文、图、音、视频、3D等多模态的生态平台。2024年5月实现1亿次下载,以0.0008元/千Tokens的定价开启商业化;随后推出视频生成(Seedance系列)、音乐生成、3D模型生成等功能。2025年底日活用户突破1亿,并与特斯拉、小米等企业达成合作。其技术基于Transformer和MoE架构,支持AI编程、深入研究等复杂场景应用。
AI大模型2026/2/15
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WebMCP是什么?谷歌微软新标准如何让AI智能体直接调用网站工具 | Geoz.com.cn

WebMCP是什么?谷歌微软新标准如何让AI智能体直接调用网站工具 | Geoz.com.cn

WebMCP (Web Model Context Protocol) is a new web standard developed by Google and Microsoft that enables websites to expose structured, callable tools directly to AI agents through browser APIs, replacing inefficient screen-scraping and DOM parsing methods with single structured function calls. This significantly reduces costs, improves reliability, and accelerates development for enterprise AI deployments. (WebMCP(Web模型上下文协议)是由谷歌和微软联合开发的新网页标准,允许网站通过浏览器API直接向AI代理暴露结构化、可调用的工具,用单一结构化函数调用取代低效的屏幕截图和DOM解析方法。这显著降低了企业AI部署的成本,提高了可靠性,并加速了开发进程。)
AI大模型2026/2/15
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