研究生成式搜索如何优化内容，让信息更容易被AI抓取和引用。
Generative Engine Optimization: How to Dominate AI Search
- 对比生成式搜索与传统搜索，发现前者更依赖第三方权威来源。
- 实验显示不同AI搜索引擎在内容来源、语言处理上差异显著。
- 提出四大策略，助品牌在生成式搜索中提升可见性。
生成式AI驱动的搜索引擎（如ChatGPT、Perplexity、Gemini）正重塑信息检索方式，从传统排名列表转向合成且带引用的答案。这一转变挑战了现有搜索引擎优化（SEO）实践，亟需新范式——生成式引擎优化（GEO）。本文通过大规模、受控实验，在多个垂直领域、语言及查询改写条件下，系统比较了生成式搜索与传统网页搜索（谷歌）的信息获取机制。关键发现：生成式搜索对第三方权威来源（即“获得媒体”）存在系统性且压倒性的偏好，远超品牌自有内容与社交内容，与谷歌更均衡的混合模式形成鲜明对比。进一步揭示，不同生成式搜索服务在领域多样性、时效性、跨语言稳定性以及对表达方式敏感度方面存在显著差异。基于实证结果，本文提出战略性GEO框架，为从业者提供可操作建议：（1）设计利于机器扫描与论证的内容；（2）主导第三方权威传播以建立AI认可的权威性；（3）采用引擎特异与语言敏感策略；（4）突破大品牌偏见，帮助小众品牌突围。本研究提供了生成式搜索时代实现可见性的基础分析与战略框架。
原文摘要 · Abstract (English)
The rapid adoption of generative AI-powered search engines like ChatGPT, Perplexity, and Gemini is fundamentally reshaping information retrieval, moving from traditional ranked lists to synthesized, citation-backed answers. This shift challenges established Search Engine Optimization (SEO) practices and necessitates a new paradigm, which we term Generative Engine Optimization (GEO). This paper presents a comprehensive comparative analysis of AI Search and traditional web search (Google). Through a series of large-scale, controlled experiments across multiple verticals, languages, and query paraphrases, we quantify critical differences in how these systems source information. Our key findings reveal that AI Search exhibit a systematic and overwhelming bias towards Earned media (third-party, authoritative sources) over Brand-owned and Social content, a stark contrast to Google's more balanced mix. We further demonstrate that AI Search services differ significantly from each other in their domain diversity, freshness, cross-language stability, and sensitivity to phrasing. Based on these empirical results, we formulate a strategic GEO agenda. We provide actionable guidance for practitioners, emphasizing the critical need to: (1) engineer content for machine scannability and justification, (2) dominate earned media to build AI-perceived authority, (3) adopt engine-specific and language-aware strategies, and (4) overcome the inherent "big brand bias" for niche players. Our work provides the foundational empirical analysis and a strategic framework for achieving visibility in the new generative search landscape.
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