Published July 31, 2026
| Version 1.1.0
Dataset
Open
AI visibility of Romania's luxury jewelry: one prompt, 10 LLMs, 29 different answers, July 2026
Description
Executive Summary: When querying Large Language Models (LLMs) for product or brand
recommendations, marketers often assume top-tier models converge on a shared ground
truth. To test this assumption empirically, we conducted a benchmark across 10 major LLM
architectures to evaluate entity retrieval variance and RAG divergence in a niche market
context: luxury jewelry brands in Romania.
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Additional details
Related works
- Is continued by
- Dataset: 10.5281/zenodo.21736211 (DOI)
- Is documented by
- Publication: https://websem.ro/en/resources/aeo/study-luxury-jewelry-romania (URL)
- Is supplement to
- Publication: https://websem.ro/resurse/aeo/studiu-bijuterii-lux-romania (URL)