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.

1

指南

GEO 概念、指标口径与实操方法——看懂数据再动手

2

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

0

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

Stable Mention Rate: The Metric GEO Monitoring Tools Don't Show You

Single-sample mention rates swing wildly because AI models are stochastic. AIHonest's stable mention rate requires multi-sample consistency (N-1 of N runs) before a brand counts as "mentioned" — here's why it matters and how it works.

#guide#stable mention rate#methodology#metrics
引擎观察

Benchmarking Chinese AI Engines for GEO Monitoring: Speed, Cost and Citation Quality

We ran the same Chinese prompt set through DeepSeek, Doubao, Kimi and ChatGPT across dozens of real monitoring calls, logging latency, per-run cost and citation structure. First-hand data for engine selection — and the basis of AIHonest's engine methodology.

#benchmark#DeepSeek#Doubao#Kimi#ChatGPT#real-world data
引擎观察

We Dissected a GEO Spam Campaign: How Black-Hat Content Pollutes AI Answers

After a "Weimeng Star" promo flooded Toutiao, we found the same 7-section template article plastered across CSDN, NetEase, Tencent Cloud and Sina — with a different "category champion" on each platform. A full teardown of the GEO spam pipeline, and why transparent methodology is the only defense.

#industry#GEO spam#anti-abuse