Blog
Weekly updates, tutorials, and case studies from the team building Citany. Real data, no filters.
Starting today, I'm using Citany — the tool I built — as a live experiment. Zero GSC coverage, zero AI mentions, domain age 2 weeks. I'm documenting everything publicly. Here's the full starting context and what I plan to do.
Most brands only track 'is my brand mentioned?' That's one question type out of six. The other five are where your competitors are winning — and where the real AI visibility gap lives.
AEO is not set-and-forget. Every change you make to improve AI visibility needs a baseline, a control, and a window to evaluate. Without these three things, you are guessing.
A single visibility score hides more than it reveals. A brand can score 80% while being cited negatively. Another can score 40% but dominate the highest-value buyer prompts. Here is what to measure instead.
Zero mentions across ChatGPT, Perplexity, DeepSeek, and Kimi. This is exactly what Day 2 should look like — and it is the most important data point of the entire challenge. Here is the full baseline and what I did today to start changing it.
Every time an AI engine cites your competitor instead of you, it is leaving a trail. The source URL, the page type, the type of claim being made — all of it is diagnostic information if you know how to read it.
