AI-visibility check · GEO 
When buyers ask AI, does it name you, or your competitors?
Enter your brand and category. We ask ChatGPT, Perplexity and others the questions your buyers ask, and show you, honestly, whether you show up.
…
This takes less than a minute.
Result
Overall score
0
of 100
Third-party authority
How often others name you
Own citability Critical
– How often your own site is cited
In how many queries you appear
Share of queries per AI engine
Compared to competitors
Which sources the chatbots cite most
External domains the AI leans on in your category
Take away
Book a 30-min call, free.
We show you how to raise your own citability and rank in the right sources.
Unlock your full results
Drop your email to see every engine, who AI names instead, the sources and who it cites.
Read the guide: how to show up in AI answers (GEO) →
Frequently asked questions
- What is an AI-visibility (GEO) check?
- It shows whether AI search engines like ChatGPT, Perplexity and Google AI Overviews name your brand when buyers ask about your category, or only your competitors. You get a visibility score and the single highest-leverage fix.
- Does ChatGPT or Perplexity mention my brand?
- That is exactly what the check measures. We ask the AI engines the questions your buyers ask and count whether, and how often, your brand shows up, plus who gets named instead.
- What is GEO (Generative Engine Optimization)?
- GEO means becoming visible inside AI answers, the way SEO does for Google. Google itself says its AI answers run on the same ranking as classic search, so good GEO is good SEO with the right structure, sources and recency.
- Is the check GDPR-compliant?
- Yes. It runs on EU infrastructure, is built for the DACH market, and needs no customer data, just your brand, website and category.
- What does the AI-visibility check cost?
- The visibility score is free. To see the full breakdown, which engines, who AI names instead, and the sources it cites, you enter your email.
- How is GEO different from SEO?
- Barely. The AI surfaces are grounded in the same search index, so the fundamentals overlap. What differs is structuring content so an AI can lift and cite it: clear answers, FAQ blocks, named entities and fresh sources.