Blog — Building AIHonest in the open

Product progress and behind-the-scenes notes: we do GEO on ourselves the same way we do it for you.

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指南

GEO 概念、指标口径与实操方法——看懂数据再动手
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引擎观察

豆包 / DeepSeek / Kimi 等引擎的真实回答差异，全部来自实测数据
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案例研究

真实站点的 GEO 提升实验：基线、动作、逐周数据全公开

最新文章

指南

llms.txt in Practice: Getting AI Engines to Cite Your Site Correctly

llms.txt is a site manual written for AI engines. A hands-on guide you can copy: what to write, how to structure it, common mistakes — and a complete example from a real Chinese site. Based on AIHonest deployment experience.

#guide#llms.txt#GEO basics
案例研究

GEO Experiment Methodology: Measuring Brand Mentions in AI Engines Scientifically

Bad measurement makes optimization a guessing game. This post documents AIHonest's measurement methodology — metric definitions, echo-contamination removal, sampling and statistical design — plus a real site's 0% baseline. All engine data comes from production runs.

#methodology#aihotrank#echo-removal
引擎观察

Engine Notes #1: How Three Chinese AI Engines Answer the Best AI Directory Question

Three-day monitoring across Doubao, DeepSeek, and Kimi: zero natural mentions of our own site, while toolify.ai appeared 5 times. Citation pools favor jiqizhixin.com and qbitai.com. First AIHonest engine notes.

#Doubao#DeepSeek#Kimi#engine notes
指南

What Is GEO Monitoring? Tracking Brand Visibility in AI Search

GEO monitoring means periodically asking AI engines (ChatGPT, Doubao, DeepSeek, Kimi) relevant questions and analyzing their answers to quantify your brand's mention rate, position, and sentiment. It is the AI-search-era counterpart of SEO rank tracking.

#GEO#beginners#brand monitoring