About Metricus
Metricus measures how AI represents businesses and makes that data actionable for everyone. One-time AI visibility reports from $99. Published methodology.
The team
Metricus was founded by researchers whose work spans recommender systems, information retrieval, natural language processing, and applied machine learning. Before building Metricus, the team spent over a decade studying the mechanisms that determine what algorithmic systems surface — and what they bury.
When large language models became the new interface layer between consumers and businesses, we recognized the problem immediately: the same dynamics that govern search ranking and recommendation feeds now govern AI-generated answers.
Team expertise
Collaborative filtering, content-based ranking, hybrid recommendation architectures, and the evaluation methods used to measure their accuracy.
Retrieval-augmented generation, source selection and ranking in generative systems, and how grounding data propagates into AI-generated answers.
Entity recognition, semantic similarity, and sentiment and stance classification in generated text.
Non-parametric hypothesis testing, bootstrap confidence intervals, and effect size estimation for stochastic text outputs.
Every methodological choice in a Metricus report — how we design query sets, interpret outputs, and quantify confidence — traces directly to this research background.
Questions about our methodology, partnership inquiries, or press requests.
hello@metricusapp.com