Sitera measures AI visibility in a simple, verifiable way: we run a fixed set of buyer questions — the same ones customers actually use — across ChatGPT, Perplexity, Claude and Google Gemini, and count citations, position and context for each company.
Every result is verified by hand in a browser, without personalization. The automated scanner produces an indicative frequency; the manual check in a browser, without personalization, is the only standard we publish on. The scanner gives frequency; the browser gives truth.
Our own measurement — MotorikkLab
We started by testing ourselves. MotorikkLab (Oslo) was measured on four buyer questions across four engines — 16 answers, without personalization, two draws. The result was instructive:
- Cited in 11 of 16 answers — measured 12.07.2026, identical across both draws.
- The first measurement, one month earlier, was substantially lower — not because the content was poor, but because more citable players filled the space.
- Cited by 4 of 4 engines — but at very different rates, from 1 in 4 answers on Claude to 4 in 4 on Gemini. Visibility on one engine does not transfer automatically to the others.
The figures above relate to our own business — not an average for Norwegian B2B companies.
What we see recurring
In the searches we've run, we see some clear patterns: visibility on one AI platform doesn't mean visibility on the others, fact-based and structured content is cited more often than pure marketing copy, and structured data (Schema.org) makes it easier for the models to understand who you are. These are observations from our work, not an industry-wide study.
What should you do?
Start by measuring your own visibility. We'll do a free GEO analysis for you within 48 hours — so you know exactly where you stand.