About Metricus
Metricus measures how AI represents businesses and makes that data actionable for everyone. A one-time AI visibility report for B2B SMBs — $499. PDF plus the actual drop-in files you ship. Curated by AI experts. Delivered in 24 hours. 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.
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