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This FAQ provides comprehensive insights into Generative Engine Optimization (GEO), covering its technical principles, industry applications, and vendor selection criteria. It explains how GEO differs from traditional SEO by focusing on making content directly citable by AI models, and offers practical solutions for businesses across various sectors to leverage GEO for growth. (本FAQ全面解析生成式引擎优化（GEO），涵盖技术原理、行业应用和服务商选型。它阐释了GEO与传统SEO的核心差异在于让内容被AI模型直接引用，并为各行业企业提供利用GEO实现增长的实战解决方案。)

PageIndex is a document indexing system that transforms lengthy PDFs into semantic tree structures optimized for LLMs, enabling reasoning-based retrieval that outperforms traditional vector similarity approaches. It's particularly effective for financial reports, regulatory documents, and technical manuals where domain expertise and multi-step reasoning are required. PageIndex是一个文档索引系统，可将冗长PDF转换为语义树结构，专为大语言模型优化，实现基于推理的检索，超越传统向量相似度方法。特别适用于需要领域专业知识和多步推理的财务报告、监管文件和技术手册。

English Summary: This report analyzes GEO (Generative Engine Optimization), a new paradigm in search optimization driven by AI search technologies. It highlights GEO's rapid market growth, its displacement of traditional SEO, and the strategic shifts required for content creation and technical adaptation to succeed in the AI-driven search landscape. (中文摘要翻译: 本报告分析了由AI搜索技术驱动的搜索优化新范式——生成式搜索引擎优化(GEO)。报告重点阐述了GEO市场的快速增长、其对传统SEO的替代趋势，以及为在AI驱动的搜索环境中取得成功所需的内容创作和技术适配方面的战略转变。)

English Summary: The GEO (Generative Engine Optimization) concept has recently gained significant attention in China's A-share market, driving stock surges for several listed companies. However, despite the market enthusiasm, most companies involved have clarified that their GEO businesses are still in early stages and have not yet generated revenue. Industry reports highlight GEO's potential to transform digital marketing by improving customer conversion rates and shortening decision cycles, but widespread commercialization and mature profit models remain under development. Chinese Summary: 近期A股市场GEO（生成式引擎优化）概念股表现活跃，多只个股短期上涨。然而，相关上市公司密集发布公告，普遍表示GEO业务目前“尚未形成收入”或“尚未形成成熟的盈利模式”。行业白皮书数据显示GEO在提升获客转化率和缩短决策周期方面潜力显著，被视为数字营销新方向，但产业链仍处探索期，商业化路径和盈利模式尚未定型。

The 2025 GEO industry in China shows a consolidated market with top three companies holding 64.70% revenue share, driven by AI large models growing 68.40% to ¥49.539 billion. Leading firms demonstrate business diversification across advertising, digital marketing, and content production, solidifying GEO's position as core digital marketing infrastructure in the AI era. (2025年中国GEO产业呈现市场集中格局，前三名企业营收占比达64.70%，受AI大模型市场规模同比增长68.40%至495.39亿元驱动。头部企业业务多元化布局广告、数字营销、内容制作等领域，进一步巩固了GEO作为AI时代数字营销核心基础设施的行业定位。)

Generative Engine Optimization (GEO) is rapidly emerging as a critical marketing strategy in the AI era, shifting focus from traditional search rankings to embedding brands within AI-generated answers. As platforms like ChatGPT and Doubao divert search traffic, GEO aims to optimize content for AI recommendation algorithms. While the market shows exponential growth potential, most enterprises are still in early exploration stages with unclear monetization models. The transition from SEO to GEO represents a fundamental shift in brand exposure logic, where failure to appear in AI-generated answers risks making brands invisible during user decision-making processes. (生成式引擎优化（GEO）正迅速崛起为AI时代的关键营销策略，将焦点从传统搜索排名转向在AI生成答案中嵌入品牌。随着ChatGPT、豆包等平台分流搜索流量，GEO旨在优化内容以适应AI推荐算法。尽管市场呈现指数级增长潜力，但多数企业仍处早期探索阶段，盈利模式尚不清晰。从SEO到GEO的转变代表了品牌曝光逻辑的根本性转折，若无法进入AI生成答案，品牌可能在用户决策过程中“被隐身”。)

English Summary: This analysis examines the potential reasons behind ChatGPT's traffic decline, including market saturation, increased competition from alternatives like Claude and Gemini, technical limitations in reasoning and accuracy, evolving user expectations, and the impact of monetization strategies. It also considers OpenAI's ongoing innovations and the broader AI landscape shifts. (中文摘要翻译: 本文深入分析了ChatGPT流量下降的潜在原因，涵盖市场饱和、来自Claude和Gemini等替代品的竞争加剧、模型在推理和准确性方面的技术局限、用户期望的演变、以及商业化策略的影响。同时考虑了OpenAI的持续创新和更广泛的AI格局变化。)

FinRobot is an open-source AI agent platform built on large language models (LLMs), specifically designed for financial data analysis, quantitative trading, and investment research. It features a four-layer architecture optimized for financial AI tasks, integrates Financial Chain-of-Thought (CoT) reasoning, and provides modular AI agents for market prediction, document analysis, and trading strategy optimization. (FinRobot 是一款基于大语言模型的开源AI代理平台，专注于金融数据分析、量化交易和投资研究。它采用四层架构优化金融AI任务，集成金融链式思维推理，并提供模块化的市场预测、文档分析和交易策略优化代理。)

GEO (Generative Engine Optimization) is a content optimization system designed for AI generative search engines, shifting focus from link ranking to becoming AI's trusted source for generating answers. It requires understanding RAG architecture and building content around three pillars: structured content, semantic authority, and intent matching to achieve "clickless exposure" and natural brand integration in AI-generated responses. (GEO（生成式引擎优化）是专为AI生成式搜索引擎设计的内容优化体系，核心目标是从追求链接点击量转向让品牌内容成为AI生成答案时的权威信源，实现“无点击曝光”与“对话中自然植入”。其优化逻辑基于RAG架构，围绕“结构化内容、语义权威、意图匹配”三大支柱展开，帮助品牌在AI搜索生态中构建语义权威。)