Disclosure: I build Picked by Agents, which published this dataset. Sharing the downloadable data here, rather than a signup or paid offer. The answers are AI-generated; the dataset preserves recorded web-search agent runs.
It covers six heating and cooling questions in each of 2,383 cities in the US, Canada and UK, collected September 29 to October 1, 2026. There are 34,907 recommendation rows, 22,056 passed-over rows and 21,167 company records. CSV files contain city, question, company, rank, the agent’s stated reason and source links. JSONL contains the city records. The license is CC BY 4.0.
Download and methodology: https://huggingface.co/datasets/GregM/ai-assistant-hvac-picks
Source files: https://github.com/gregm711/ai-assistant-hvac-picks
Possible uses include studying recommendation concentration, how answers change by customer question, and which sources agents cite. Important limits: one run per city, no measured bookings or revenue, and no controlled comparison of consumer assistant apps. Most records do not identify a specific model. The agents were instructed to read companies’ own sites, which biases the source mix. Reasons, including any review claims, have not been independently verified.
The README documents the method and schema. Suggestions for making the next release more useful for analysis are welcome.
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