From the 1 of 4 linked papers with an AI index.
4 papers
Where Does the Noise Come From? A Variance-Components Decomposition of Non-Determinism in LLM Brand Answers
Dmitrij Żatuchin
The paper analyzes why large language model answers about brands vary, breaking down the variance into prompt repeats, paraphrases, model choice, and query language, and shows that…
How Large Language Models Source Brand Reputation Across Languages and Markets
Dmitrij Zatuchin
When a large language model (LLM) answers a question about a company, it grounds the answer in retrieved web sources, and those sources decide what the model says. Most analysis of…
The Language Blind Spot: How Query Language and Brand Recognition Tier Shape AI-Constructed Brand Reputation Across Twelve European Languages
Dmitrij Żatuchin
Large language models (LLMs) increasingly mediate how people form impressions of organisations, yet most monitoring is done in English, assuming an English query returns a represen…
Who Owns the AI Recommendation? A Multi-Industry Empirical Map of Brand Category Ownership Across Large Language Models
Dmitrij Żatuchin
Large language models now mediate how buyers discover products and services, making the competitive structure of AI-generated recommendations a strategic concern for brands. A basi…