The 53 papers and how each one is used
The 53 papers and how each one is used
下表根据 GitHub 论文清单整理。用途列为本报告转译后的工程应用，不代表每篇论文都已经在所有场景中完成大规模商业验证。
| 类别 | 论文题名 | 年份 | 在 GEO 内容工程中的用途 |
|---|---|---|---|
| 01 GEO 基础框架 | GEO: Generative Engine Optimization | 2023/2024 | GEO 定义、GEO-bench、引用/统计/权威表达等早期优化方法 |
| 01 GEO 基础框架 | Generative Engine Optimization in Digital Repositories | 2025 | 把 GEO 用于数字知识库、机构仓储和开放知识资产 |
| 01 GEO 基础框架 | Generative Engine Optimization: How to Dominate AISearch | 2025 | 品牌可见性、第三方媒体、引擎差异、AI 搜索策略框架 |
| 01 GEO 基础框架 | Navigating the Shift: A Comparative Analysis of WebSearch and Generative AI Response Generation | 2026 | 传统搜索与生成式回答的来源、意图、时效差异 |
| 02 GEO 方法优化 | Beyond Keywords: Driving Generative Search EngineOptimization with Content-Centric Agents | 2025 | 内容中心基准、Exposure、Faithful Credit、Causal Impact等指标 |
| 02 GEO 方法优化 | Beyond SEO: A Transformer-Based Approach forReinventing Web Content Optimisation | 2025 | 用 Transformer 辅助内容优化，作为自动化写作和优化参考 |
| 02 GEO 方法优化 | IF-GEO: Conflict-Aware Instruction Fusion for Multi-QueryGenerative Engine Optimization | 2026 | 多查询冲突、全局改写蓝图和稳定性指标 |
| 02 GEO 方法优化 | Role-Augmented Intent-Driven Generative Search EngineOptimization | 2025 | 角色增强、意图驱动、查询变体和分层评估 |
| 02 GEO 方法优化 | Think Before Writing: Feature-Level Optimization forGenerative Engine Optimization | 2026 | 结构、内容、语言特征层面的多目标优化 |
| 02 GEO 方法优化 | What Generative Search Engines Like: Explaining andOptimizing Website Visibility in Generative Search | 2025 | 从引擎反馈中抽取偏好规则，支持 AutoGEO 式迭代 |
| 02 GEO 方法优化 | White Hat Search Engine Optimization using LargeLanguage Models | 2025 | LLM 辅助白帽 SEO 与内容改进 |
| 03 GEO 测量评估 | AI Answer Engine Citation Behavior: A Longitudinal Studyof GEO in 16 Generative Engines | 2025 | 16 个答案引擎引用行为、GEO16 审计指标 |
| 03 GEO 测量评估 | C-SEO Bench: Does Conversational SEO Work? | 2025 | 会话式 SEO 基准，提示策略在竞争环境中的局限 |
| 03 GEO 测量评估 | Do not Measure Once: Reliable AI Search VisibilityRequires Repeated Trials and Structure-Aware Metrics | 2026 | 重复试验、结构感知指标和可见性分布 |
| 03 GEO 测量评估 | Disentangling Answer Engine Optimization from PlatformGrowth | 2026 | 用日志和自然实验拆分平台增长与页面优化效果 |
| 03 GEO 测量评估 | From Citation Selection to Citation Absorption | 2026 | 引用选择与引用吸收两阶段框架 |
| 03 GEO 测量评估 | Generative Engine Optimization at Scale | 2026 | 跨品牌、跨提示、大规模 AI 搜索可见性测量 |
| 03 GEO 测量评估 | SAGEO: A Search Arena for Generative EngineOptimization in a Realistic Environment | 2026 | 真实检索、重排、结构保留的 GEO 评估环境 |
| 03 GEO 测量评估 | Structural Feature Engineering for Generative EngineOptimization | 2026 | 宏观、中观、微观结构特征带来的引用与质量提升 |
| 04 AI 搜索实证 | A Survey of Generative Search and Recommendation inthe Era of Large Language Models | 2024/2025 | 生成式搜索和推荐系统综述 |
| 类别 | 论文题名 | 年份 | 在 GEO 内容工程中的用途 |
|---|---|---|---|
| 04 AI 搜索实证 | Characterizing Web Search in the Age of Generative AI | 2026 | 内部知识、外部来源、多样性和稳定性的系统比较 |
| 04 AI 搜索实证 | How Generative AI Disrupts Search: Consumer Behavior,Website Traffic, and the Impact of Google AI Overviews | 2026 | AI Overviews 对用户行为、流量和点击路径的影响 |
| 04 AI 搜索实证 | NExT-Search: Rebuilding User Feedback Ecosystem forGenerative AI Search | 2025 | 生成式搜索中答案级反馈替代网页级反馈的问题 |
| 04 AI 搜索实证 | What Evidence Do Language Models Find Convincing? | 2024 | 模型在冲突证据中偏好的事实、相关性和风格因素 |
| 05 AEO 理论整合 | From SEO to Answer Engine Optimization (AEO) | 2025 | 从搜索排名到答案可见性的营销转型 |
| 05 AEO 理论整合 | Optimizing for the Artificial Intelligence-Driven SearchEra: An Integrated Framework for SEO, GEO, and AEO | 2025 | SEO、GEO、AEO 的整合框架 |
| 05 AEO 理论整合 | Smart Search Optimization: A Theoretical FrameworkIntegrating SEO, AEO and GEO | 2025 | 理论整合与智能搜索优化 |
| 05 AEO 理论整合 | How the Transition from SEO to GEO, AEO, and AIO isImpacting Digital Marketing Strategies | 2025 | 数字营销策略迁移 |
| 05 AEO 理论整合 | Zero-Click Search and Answer Engines: A LiteratureReview on SEO Transformation in Digital Marketing | 2025/2026 | 零点击和答案引擎的文献综述 |
| 06 风险、操纵与对抗 | Adversarial Search Engine Optimization for LargeLanguage Models | 2024 | LLM 搜索中的偏好操纵和对抗式 SEO 风险 |
| 06 风险、操纵与对抗 | CONFLICTBANK: Evaluating the Influence of KnowledgeConflicts in LLMs | 2024 | 知识冲突对模型回答的影响 |
| 06 风险、操纵与对抗 | Dynamics of Adversarial Attacks on LLM-Based SearchEngines | 2025 | LLM 搜索引擎中的对抗攻击动态 |
| 06 风险、操纵与对抗 | GASLITEing the Retrieval | 2024/2025 | 稠密向量检索的脆弱性 |
| 06 风险、操纵与对抗 | Manipulating Large Language Models to Increase ProductVisibility | 2024 | 商品可见性操纵风险 |
| 06 风险、操纵与对抗 | Persistent Pre-Training Poisoning of LLMs | 2024 | 预训练投毒的长期影响 |
| 06 风险、操纵与对抗 | PoisonArena: Competing Poisoning Attacks in RAG | 2025 | RAG 中多攻击者竞争性投毒 |
| 06 风险、操纵与对抗 | Ranking Manipulation for Conversational Search Engines | 2024 | 提示注入与上下文位置对会话式搜索排名的影响 |
| 06 风险、操纵与对抗 | StealthRank: LLM Ranking Manipulation via StealthyPrompt Optimization | 2025 | 隐蔽文本序列对 LLM 排名的操纵 |
| 06 风险、操纵与对抗 | Unveiling the Resilience of LLM-Enhanced Search EnginesAgainst Adversarial Attacks | 2026 | LLM 增强搜索对抗鲁棒性 |
| 07 垂直场景与多模态 | Caption Injection for Optimization in Generative SearchEngines | 2025 | 图注作为多模态内容可见性入口 |
| 07 垂直场景与多模态 | E-GEO: A Testbed for GEO in E-Commerce | 2025 | 电商商品查询、商品页重写和基准测试 |
| 07 垂直场景与多模态 | Multimodal Generative Engine Optimization: RankManipulation for Vision-Language Model Rankers | 2026 | VLM 排名器与多模态排名操纵风险 |
| 07 垂直场景与多模态 | Generative Engine Optimization: A VLM and AgentFramework for Pinterest Acquisition Growth | 2026 | Pinterest 场景中的 VLM、趋势挖掘和增长应用 |
| 07 垂直场景与多模态 | When Content is Goliath and Algorithm is David | 2025 | 内容风格和语义对生成式搜索的影响 |
| 08 AI 搜索架构与 Agentic Search | Decoupling Search from Reasoning: A Vendor-AgnosticGrounding Architecture for LLM Agents | 2026 | 把搜索接地从推理模型中解耦，控制路由、上下文和缓存 |
| 08 AI 搜索架构与 Agentic Search | Beyond Parallel Sampling: Diverse Query Initialization for | 2026 | 多样化初始查询提升复杂搜索覆盖 |
| 类别 | 论文题名Agentic Search | 年份 | 在 GEO 内容工程中的用途 |
|---|---|---|---|
| 08 AI 搜索架构与 Agentic Search | ScholarQuest: A Taxonomy-Guided Benchmark forAgentic Academic Paper Search | 2026 | 学术搜索 Agent 的分类指导基准 |
| 08 AI 搜索架构与 Agentic Search | When Does Streaming Tool Use Help? | 2026 | 流式 RAG 中工具意图稳定和延迟隐藏 |
| 09 RAG 检索优化 | MCompassRAG: Topic Metadata as a Semantic Compassfor Paragraph-Level Retrieval | 2026 | 主题元数据提升段落级 RAG 效率 |
| 09 RAG 检索优化 | SCAR: Semantic Continuity-Aware Retrieval for EfficientContext Expansion in RAG | 2026 | 语义连续性辅助上下文扩展 |
| 09 RAG 检索优化 | SproutRAG: Attention-Guided Tree Search withProgressive Embeddings for Long-Document RAG | 2026 | 长文档 RAG 的树搜索和渐进式嵌入 |
| 10 搜索评估治理 | Scaling Search Relevance: Augmenting App Store Rankingwith LLM-Generated Judgments | 2026 | 用 LLM 判断扩展搜索相关性训练 |
| 10 搜索评估治理 | SAGE: Scalable AI Governance & Evaluation | 2026 | 生产级 AI 评估治理、surrogate judge 和可扩展审查 |