I'm fascinated by the question of how to monitor something as intangible as AI visibility.

With traditional search, we had rankings, impressions, clicks, and an endless stream of tangible data to obsess over.

But AI systems work differently. Most of the time, the outcome isn't a visit or a click. It's a recommendation.

So how do you track something that doesn't begin with a predefined keyword or a prompt you could reasonably predict? And how do you tell whether a company is becoming more visible to the right buyers, or whether nothing meaningful has actually changed, when you have no audience data, search volume, and other similar information?

I find myself thinking about this problem a lot.

Over time, that curiosity evolved into the AI Visibility Monitor.

The AI Visibility Monitor is a system I've developed to observe how AI systems understand and recommend software companies.

It helps me monitor how AI systems understand and recommend my clients, spot and diagnose issues, and make sense of a landscape that rarely offers straightforward answers.

I don't think there is a definitive way to track AI visibility yet. But the Monitor is my attempt to build one.