📄 中文摘要
AI 搜索是基于概率而非确定性的，这并不是一个缺陷，而是这些系统的设计方式。答案引擎优化（AEO）是通过结构化内容，使 AI 工具在回答相关问题时引用你的业务。越来越多的买家在访问网站前会使用 Perplexity、Gemini 和 Claude 等工具进行研究。AEO 的优势在于提供高信任度的可见性，但其缺点是难以衡量且在用户或会话之间不一致。理解这一点是改进的第一步。大多数语言模型的设计是非确定性的，通常运行在高于零的温度设置下。
为何 AI 搜索对不同用户给出不同答案（以及你可以做些什么）
📄 English Summary
Why AI Search Gives Different Answers to Different People (And What You Can Do About It)
AI search operates on a probabilistic basis rather than a deterministic one, which is an inherent aspect of its design. Answer Engine Optimization (AEO) involves structuring content so that AI tools cite your business when responding to relevant queries. Increasingly, buyers are using tools like Perplexity, Gemini, and Claude for research before visiting websites. The advantage of AEO is high-trust visibility, while the downside is that it is harder to measure and inconsistent across different users or sessions. Understanding this variability is the first step toward improvement. Most language models are designed to be non-deterministic and typically operate with a temperature setting above zero.