📄 中文摘要
在当今的数字环境中，品牌在 AI 引擎中的可见性至关重要。GEO（生成引擎优化）是确保 AI 引擎能够找到、理解并推荐品牌的实践。与传统的 SEO 不同，GEO 关注的是 AI 生成的回答中品牌的可见性。通过审计品牌在 ChatGPT、Gemini 和 Perplexity 等 AI 搜索引擎中的表现，品牌可以识别出自身的不足之处，并采取相应措施进行改进。以 XanLens 为例，提供了具体的审计和修复步骤，以提升品牌在 AI 引擎中的认知度和推荐率。
如何检查 AI 引擎是否了解您的品牌（并修复它）
出处: How to Check if AI Engines Know Your Brand (and Fix It)
发布: 2026年3月19日
📄 English Summary
How to Check if AI Engines Know Your Brand (and Fix It)
In today's digital landscape, brand visibility in AI engines is crucial. Generative Engine Optimization (GEO) focuses on ensuring that AI engines can find, understand, and recommend a brand in their generated responses. Unlike traditional SEO, which emphasizes Google rankings, GEO measures visibility in AI-generated answers from platforms like ChatGPT, Gemini, and Perplexity. By auditing a brand's performance in these AI search engines, brands can identify gaps and take corrective actions. Using XanLens as a case study, the guide provides specific steps for auditing and fixing brand visibility to enhance recognition and recommendation in AI engines.