Data as of Oct 18, 2026Based on 95 AI responses
Reviewed by Dimitry Apollonsky
AI summary
Institute for Market Transformation holds a clear lead, frequently cited for cross-city building performance policies and energy benchmarking comparisons. For evaluating the lifetime ownership costs of residential heating and cooling equipment, U.S. Department of Energy is the usual answer.
Rank and Mentioned in · since Jul 5
| # | Brand | Recommended for | Mentioned in |
|---|---|---|---|
| 1 | authoritative benchmarking policy maps and city-by-city building performance standards | authoritative benchmarking policy maps and city-by-city building performance standards | 43% |
| 2 | smoke-test procedures and general efficiency guidance for home audits | smoke-test procedures and general efficiency guidance for home audits | 27% |
| 3 | plain-language explainers and calculating lifetime costs of heating equipment | plain-language explainers and calculating lifetime costs of heating equipment | 21% |
| 4 | comprehensive regulatory toolkits and portfolio benchmarking frameworks | comprehensive regulatory toolkits and portfolio benchmarking frameworks | 13% |
| 5 | commercial building energy solutions and public-sector efficiency resources | commercial building energy solutions and public-sector efficiency resources | 8% |
| 6 | practical submetering and utility data preparation for audits | practical submetering and utility data preparation for audits | 7% |
| 7 | technical efficiency guidelines and federal renewable energy tools | technical efficiency guidelines and federal renewable energy tools | 6% |
| 8 | automated utility meter tracking and data capture workflows | automated utility meter tracking and data capture workflows | 6% |
| 9 | municipal benchmarking reporting requirements and building tune-up rules | municipal benchmarking reporting requirements and building tune-up rules | 6% |
| 10 | tracking operational energy consumption and utility benchmarking data | tracking operational energy consumption and utility benchmarking data | 4% |
| 11 | 4% | ||
| 12 | 3% | ||
| 13 | 3% | ||
| 14 | 2% | ||
| 15 | 2% |
Week of Aug 10–16 · Since Jul 5
Widest split: U.S. Department of Energy, 35% on ChatGPT Search and 7% on Google AI Mode.
| Brand | ChatGPT Search | Google AI Mode | Comparison |
|---|---|---|---|
| Institute for Market Transformation | 37% | 50% | |
| ENERGY STAR | 24% | 30% | |
| U.S. Department of Energy | 35% | 7% | |
| U.S. Environmental Protection Agency (EPA) | 22% | Outside Google AI Mode's top 25 | |
| Better Buildings Solution Center | 14% | 2% | |
| Meter Ready | 14% | Outside Google AI Mode's top 25 | |
| Office of Energy Efficiency and Renewable Energy (EERE) | 12% | Outside Google AI Mode's top 25 | |
| MeterID | Outside ChatGPT Search's top 25 | 13% | |
| City of Seattle | 10% | 2% | |
| ENERGY STAR Portfolio Manager | 2% | 7% |
43% of citations point at the ranked brands’ own sites. youtube.com, filterbuy.com, cityofseattle.org are the most-cited sites outside the ranked brands’ own domains.
Which explainer covers energy benchmarking rules by city most clearly?