Data and Methodology

AI Search & Visibility Research

Original studies on search behaviour, AI visibility, source selection and measurement methodology. Future publications must document their dataset, collection period, method and limitations.

AI Provider Recommendations: An Association-Level Audit of 578 Citation Rows

How provider-owned, third-party and unresolved citation relationships appear across reconstructed recommendation contexts Nalmert Research 003 · By Alexander Tatyanchenko. This is a secondary association-level analysis of Nalmert Research 001, not a new AI measurement. We re-examined its existing citation evidence without changing the underlying observations or collecting new AI answers. The finding — and the […]

Which GEO & AI Search Providers Does AI Recommend? — 2026 Study

NALMERT RESEARCH · 2026 Which GEO & AI Search Providers Does AI Recommend? — 2026 Study 80 measured AI responses across ChatGPT, Perplexity and Yandex Alice reveal which providers appeared most often — and which sources AI systems cited. 80 AI responses36 frozen prompts4 markets3 measured AI engines Last updated 3 September 2026 Executive summary […]