Building a GEO Dashboard

TL;DR

I am building a GEO dashboard that measures how often a brand appears in AI search and what to do next. After six weeks, the foundation is in place. The real test is whether it helps you make decisions faster.

Last updated: 23 June 2026

I have been building a GEO dashboard for six weeks to show how a brand appears in AI answers from ChatGPT, Gemini, Perplexity and Google AI Overviews. The central question is simple: why does a brand appear in one answer but not another, and which next step will make the biggest difference? For me, it is still one big black box.

In practice, I see many teams can already measure visibility, but cannot decide quickly enough what to change today. As a result, AI Search remains a black box for many brands, filled with dashboards, tables and charts but no clear next step.

Why this GEO dashboard is needed

There are already enough tools showing reach, mentions or visibility. My problem is dashboard fatigue: lots of measurements, little direction. That is exactly why I am not building yet another dashboard full of figures, but a tool to help people make concrete choices faster.

This connects with Everything a B2B marketer should know about GEO in 2026: AI visibility does not come from presence alone, but from the combination of context, source selection and follow-up action.

What this GEO dashboard needs to solve

Measuring is not the same as understanding. If a brand is mentioned in ChatGPT but not in Perplexity, I do not just want to see the difference; I want to understand where it comes from. That is why the dashboard must combine two things: measuring visibility and prioritising next steps.

For me, this is the only way to open up the black box around AI visibility. A report without practical next steps is still mostly administration.

Where the GEO dashboard stands now

After six weeks of building, the foundation is in place. I want to complete the first version within two weeks. After that, the test is not how the dashboard looks, but how quickly it shows which changes will have the greatest impact.

That test also connects with my second fan-out measurement for Hands on GEO, which showed how important interpretation becomes once the first data comes in.

About Hans Schepers

Hans Schepers is a GEO consultant and founder of Hands on GEO. He investigates how brands appear in AI answers and turns those insights into concrete next steps for B2B teams.

This translation was made by AI.