Jan Ehrlinspiel
GEO researcher and economist focusing on AI search visibility
jan-ehrlinspiel
Germany
56 connections
Joined June 2026
Summary
Researcher focused on generative-engine-optimization (GEO) and AI search visibility, producing empirical analyses used to inform brand visibility strategy in AI answers. peec+2
Academic economist with applied research in digital assets; completed a master's thesis analysing stablecoin demand and defended the project at Nova SBE. unl+1
Early-career professional blending academic research, finance, and technical sales experience, with roles listed across Peec AI, HSBC, KIT, and CAS Software AG.
Collaborative author and contributor to working papers and public-facing research writeups that bridge peer-style working papers (SSRN) and practitioner-focused documentation (Peec AI blog and docs). ssrn+2
Work
Education
Projects
Writing
Cited-Listicle Rank-Tier Exposure, Author Type, and LLM Brand Visibility: A Two-Part Model of Selection and Prominence in Generative Engine Responses (Working Paper)
May 1, 2026Working paper studying how exposure in frequently cited third-party listicles at different rank tiers relates to brand mention probability and conditional placement in LLM responses across three markets using chat-level panel data.
The Listicle Rank Effect: What 200K AI Responses Across 8 AI Engines Reveal About Brand Visibility
May 1, 2026Peec AI blog post summarising analysis of nearly 200,000 AI responses (5.7M data points) showing how listicle inclusion and rank correlate with brand visibility, position, and mention count across multiple AI engines and markets.