ChatGPT Named Most Final-Shortlist Medical Providers in Its First Search Queries

Engineering notes

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Chinese explanation / 中文解读

中文解读待补充：本站会优先为大语言模型、生成式AI、ChatGPT相关技术、计算机视觉、深度学习等高价值论文补充中文说明。

Original abstract

A descriptive US-English benchmark of medical-provider names observable in query strings of the first returned web-search action and in the final four-provider shortlist from one chat-latest Responses API configuration. The release contains 180 commercial medical-provider responses across 72 frozen prompt cells, six service lines and three metros. Of 720 final provider positions, 612 (85.0%) were occupied by organizations already named in query strings of the first returned web-search action; at least one provider appeared there in 179 of 180 responses (99.4%). It includes scenario, segment, anonymous response-level and stability metrics, 144 complete repeat pairs, a 72-cell prompt manifest, a data dictionary, charts, checksums, citation files and a 10-sheet XLSX workbook. Fieldwork: August 18, 2026. Author: Evgeniy Yudin (Rotgar Research). Boris Teplyakov reviewed the research methodology as SEO Lead. This was not a clinical subject-matter review or an assessment of the providers named in the responses. This is a dated descriptive benchmark of observable stages; it does not identify hidden model reasoning, establish causality or assess provider quality. Canonical study: https://rotgar.com/medical/resources/chatgpt-medical-provider-shortlists

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