Category AI Visibility Report
Boilers AI Visibility Report 2026: Top Brands & Buyer Topics in AI Search
Data updated 2026-08-27 · 30-day window · ChatGPT · Google AI Mode · Google AI Overviews
≈8,500
Est. AI queries / month
12
Buyer topics monitored
10
Brands on the AI shelf
Key insights
- Over the last 30 days, GEOly monitored 12 buyer topics in Boilers across ChatGPT, Google AI Mode, Google AI Overviews — an estimated 8,500 AI queries per month.
- Weil-McLain leads the AI shelf with 10.3% of brand mentions, followed by Viessmann (9.2%) and Rinnai (7.5%). The top three hold 27% combined — a shelf that has not consolidated yet, leaving a clear window for challengers.
- The highest-demand topic is “Steam boilers” (top keyword “steam boilers”, ~3,600 searches/mo).
- AI answers lean on reddit.com most (21.9% of citations) — earning presence on these sources is the shortest path to being recommended.
Brands AI recommends most
Share of brand mentions across AI answers in the last 30 days (Share of Model).
| # | Brand | AI mentions | Share |
|---|---|---|---|
| 1 | Weil-McLain | 460 | 10.3% |
| 2 | Viessmann | 409 | 9.2% |
| 3 | Rinnai | 333 | 7.5% |
| 4 | Navien | 310 | 7% |
| 5 | Lochinvar | 242 | 5.4% |
| 6 | Central Boiler | 191 | 4.3% |
| 7 | Peerless Chain | 185 | 4.2% |
| 8 | WoodMaster | 175 | 3.9% |
| 9 | Burnham | 173 | 3.9% |
| 10 | HeatMaster SS | 172 | 3.9% |
What shoppers ask AI
Buyer topics monitored in this category, with estimated monthly AI queries and the top Google keyword behind each topic.
| Topic | Est. AI queries / mo | Top keyword | Search volume / mo |
|---|---|---|---|
| Steam boilers | ≈3,041 | steam boilers | 3,600 |
| Condensing boilers | ≈3,016 | high efficiency condensing boilers | 2,400 |
| Outdoor boilers | ≈2,443 | central boiler | 4,400 |
| Residential boilers | — | boilers house | 2,900 |
| Hot water boilers | — | hot water boiler | 6,600 |
| High-efficiency boilers | — | high-efficiency boilers | 4,400 |
| Wood boilers | — | outdoor wood boiler | 8,100 |
| Electric boilers | — | electric tankless boilers | 60,500 |
| Combi boilers | — | combi boiler | 8,100 |
| Gas boilers | — | gas boiler | 5,400 |
| Oil boilers | — | boilers oil | 2,400 |
| Water boilers | — | water boiler | 12,100 |
Sources AI cites in this category
Root domains AI engines cited most when answering category queries in the last 30 days.
| Domain | Citations | Share |
|---|---|---|
| reddit.com | 132 | 21.9% |
| consumerreports.org | 64 | 10.6% |
| energystar.gov | 63 | 10.4% |
| weil-mclain.com | 52 | 8.6% |
| navieninc.com | 44 | 7.3% |
| energy.gov | 33 | 5.5% |
| epa.gov | 23 | 3.8% |
| centralboiler.com | 23 | 3.8% |
Related category reports
FAQ
Which brands do AI assistants recommend most for boilers?
Over the last 30 days the top brands by AI mention share are: Weil-McLain (10.3%), Viessmann (9.2%), Rinnai (7.5%), Navien (7%), Lochinvar (5.4%). Data from GEOly's continuous monitoring across ChatGPT, Google AI Mode, Google AI Overviews.
How many people ask AI about boilers?
GEOly estimates ~8,500 AI queries per month in this category across 12 buyer topics, led by “Steam boilers”.
Which sources do AI engines cite for boilers?
The most-cited domains are: reddit.com, consumerreports.org, energystar.gov, weil-mclain.com, navieninc.com. Building brand presence on these sources is the most direct way to win AI recommendations.
Methodology
GEOly continuously runs category buyer prompts across ChatGPT, Google AI Mode, Google AI Overviews and records which brands are mentioned and which sources are cited. Figures aggregate a 30-day window; AI query volumes are modeled estimates from keyword demand and AI-adoption share. Data: GEOly MCP Server, updated 2026-08-27.
See your brand inside this category
GEOly tracks how ChatGPT, Google AI Mode and Google AI Overviews mention, rank and cite your brand against every competitor above — and what to fix to win the AI shelf.