研究AI搜索引擎如何影响品牌可见性，为中小企业提供优化策略。
Generative Engine Optimization at Scale: Measuring Brand Visibility Across AI Search Engines
- 分析10万+次AI回复，建立品牌可见性三阶模型。
- 头部品牌在AI答案中出现率达73%，小品牌仅11%。
- 最佳内容是排名类清单，负面评价比提及更易翻转结果。
随着用户越来越多地直接从ChatGPT、Claude、Perplexity和Gemini等AI搜索引擎获取答案，品牌需从传统SEO转向生成式引擎优化（GEO）。本研究聚焦品牌在AI引擎中的可见性表现，分析其引用来源、内容偏好与品牌定位。基于2026年3月至5月在Ranqo上跟踪的100多个品牌超过10万次提示响应，发现品牌可见性呈现清晰三阶梯：全球知名品牌（如Stripe、Nike）在首次查询中出现在73%的AI回答中；中等成熟品牌（如Olipop、Klaviyo）为44%；小众及初创品牌仅11%。约78%的引用来自企业官网，非企业来源中YouTube领先于Reddit、媒体和维基百科。最高影响力的页面是排名类清单文章，占所有引用的21%。情感倾向极不稳定：品牌被正面或负面描述的频率比是否被提及高出约6.7倍。研究提供了首个大规模基准，证明可量化评估AI品牌可见性，并建议七项可验证的优化协议。
原文摘要 · Abstract (English)
People increasingly get answers straight from AI search engines like ChatGPT, Claude, Perplexity, and Gemini rather than scrolling search results. Brands that once focused on search engine optimization (SEO) must now optimize for how these engines represent, cite, and recommend them -- a shift variously called Generative Engine Optimization (GEO), Answer Engine Optimization (AEO), and AI Search Visibility. We treat AEO and AI Visibility as part of GEO, and study how to measure brand visibility across AI engines: what they value when they cite a brand, which sources they rely on, and what content large language models surface. The hard case is everyone outside the already-authoritative top brands -- SMEs, D2C brands, creators, and early-stage startups. We analyze 100K+ prompt responses across 100+ brands tracked on Ranqo between March and May 2026. First visibility runs form a clear three-tier brand-stature ladder: global household names (e.g., Stripe, Nike) appear in 73% of relevant AI answers on their first run; established mid-market and regional brands (e.g., Olipop, Klaviyo) in 44%; niche and small brands in just 11% -- about 30 percentage points per step. When engines cite sources, about 78% go to corporate websites; among non-corporate sources YouTube leads, ahead of Reddit, editorial media, and Wikipedia. The highest-leverage page is the ranked "best-of" listicle, the most-cited content format at about 21% of all citations. Sentiment is the unstable signal: whether a brand is framed positively or negatively flips about 6.7 times more often than whether it is mentioned at all. These findings provide a first large-scale baseline for measuring GEO: AI brand visibility can be measured, differs by platform, and varies strongly by brand maturity. We close by proposing seven v1.1 protocols to test whether specific recommendations can causally improve AI visibility.
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