Category AI Visibility Report
Sensors 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
≈15,178
Est. AI queries / month
20
Buyer topics monitored
10
Brands on the AI shelf
Key insights
- Over the last 30 days, GEOly monitored 20 buyer topics in Sensors across ChatGPT, Google AI Mode, Google AI Overviews — an estimated 15,178 AI queries per month.
- Bosch leads the AI shelf with 8.3% of brand mentions, followed by Denso (5%) and NGK NTK (4.6%). The top three hold 17.9% combined — a shelf that has not consolidated yet, leaving a clear window for challengers.
- The highest-demand topic is “water sensors” (top keyword “water sensors”, ~6,600 searches/mo).
- AI answers lean on reddit.com most (24.4% 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 | Bosch | 614 | 8.3% |
| 2 | Denso | 372 | 5% |
| 3 | NGK NTK | 344 | 4.6% |
| 4 | Genie | 204 | 2.7% |
| 5 | YoLink FlowSmart | 203 | 2.7% |
| 6 | Honeywell | 202 | 2.7% |
| 7 | Delphi | 194 | 2.6% |
| 8 | Autel | 176 | 2.4% |
| 9 | Chamberlain | 171 | 2.3% |
| 10 | Govee | 163 | 2.2% |
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 |
|---|---|---|---|
| water sensors | ≈7,652 | water sensors | 6,600 |
| humidity sensors | ≈7,526 | humidity sensors | 6,600 |
| pressure sensors | — | sensors for pressure | 6,600 |
| proximity sensors | — | proximity sensor | 6,600 |
| gas leak sensors | — | gas leakage sensors | 49,500 |
| camshaft and crankshaft position sensors | — | crankshaft camshaft position sensors | 49,500 |
| ultrasonic sensors | — | ultrasonic sensor | 6,600 |
| tire pressure sensors | — | tire pressure monitoring sensors | 74,000 |
| hall effect sensors | — | hall effect sensor | 18,100 |
| throttle position sensors | — | tps sensor | 14,800 |
| ABS wheel speed sensors | — | abs sensors | 12,100 |
| mass air flow sensors | — | maf sensor | 60,500 |
| NOx sensors | — | nox sensor | 6,600 |
| temperature sensors | — | coolant temperature sensors | 22,200 |
| oxygen sensors | — | replace o2 sensors | 33,100 |
| stud sensors | — | stud sensors | 165,000 |
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 | 299 | 24.4% |
| go-parts.com | 93 | 7.6% |
| boschautoparts.com | 47 | 3.8% |
| honeywell.com | 37 | 3% |
| ti.com | 31 | 2.5% |
| copeland.com | 24 | 2% |
| autel.com | 22 | 1.8% |
| bosch-mobility.com | 21 | 1.7% |
FAQ
Which brands do AI assistants recommend most for sensors?
Over the last 30 days the top brands by AI mention share are: Bosch (8.3%), Denso (5%), NGK NTK (4.6%), Genie (2.7%), YoLink FlowSmart (2.7%). Data from GEOly's continuous monitoring across ChatGPT, Google AI Mode, Google AI Overviews.
How many people ask AI about sensors?
GEOly estimates ~15,178 AI queries per month in this category across 20 buyer topics, led by “water sensors”.
Which sources do AI engines cite for sensors?
The most-cited domains are: reddit.com, go-parts.com, boschautoparts.com, honeywell.com, ti.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.