Overview Leaderboard Methodology
Industry Report

Smart Thermostats

Connected thermostats that learn user preferences, offer remote temperature control, energy-saving schedules, and HVAC system integration.

Brands tracked: 35
Brands analyzed: 35
Last updated: 2026-04-23
Model: OpenAI GPT-5
Prompts: 275
Total responses: 1,400
Top Brand Overall?
ecobee
95/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Nest
91

Highest score on the LBA metric in this industry.

Authority Leader?
ecobee
100

Highest score on the Authority metric in this industry.

TOM Leader?
ecobee
100

Highest score on the TOM metric in this industry.

ecobee is the default answer in AI responses for Smart Thermostats

ecobee and Nest together dominate AI responses for Smart Thermostats. Both brands consistently surface unprompted, with the model treating them as the default answers for most category queries. Brands outside the top two face a structural disadvantage: users are usually given these two before the model even considers alternatives.

Brand Leaderboard All 35 Smart Thermostats brands ranked

Ranked by overall AI Visibility Score (smoothed geometric mean of LBA, Authority, and TOM with an LBA-based floor on Authority and TOM, see methodology). Click any brand for the full report.

# Brand LBA Authority TOM Overall
1
ecobee
ecobee.com
 86
100
100
95
2
Nest
nest.com
 91
94
100
95
3
Google
google.com
 86
95
100
93
4
Honeywell Home
honeywellhome.com
 80
50
88
71
5
Amazon
amazon.com
 79
37
76
61
6
Honeywell Home T9
resideo.com
 83
12
35
34
7
Sensi
copeland.com
 61
6
64
32
8
Emerson Sensi Touch 2
sensi.copeland.com
 71
7
24
25
9
Bosch Smart Home
bosch-smarthome.com
 73
7
7
18
10
Carrier
carrier.com
 74
7
7
18
11
Trane
trane.com
 72
7
7
18
12
Mysa
getmysa.com
 67
7
8
17
13
tado
tado.com
 70
7
7
17
14
Hive
hive.com
 67
7
7
16
15
Lennox
lennox.com
 64
6
6
16
16
Netatmo
netatmo.com
 66
7
7
16
17
Danfoss
danfoss.com
 60
6
6
15
18
Heatmiser
heatmiser.com
 60
6
6
15
19
Lux
luxproducts.com
 55
5
5
14
20
Venstar
venstar.com
 57
6
6
14
21
Wyze
wyze.com
 49
5
8
14
22
Apple
apple.com
 47
5
6
13
23
Aprilaire
aprilaire.com
 50
5
5
13
24
Drayton
draytoncontrols.co.uk
 53
5
5
13
25
Sinopé
sinopetech.com
 50
5
5
13
26
Warmup
warmup.com
 52
5
5
13
27
Cielo
cielo.com.br
 43
4
4
11
28
Meross
meross.com
 40
4
4
10
29
Stelpro
stelpro.com
 37
4
4
10
30
Moes
moeshouse.com
 34
3
3
9
31
Robertshaw
robertshaw.com
 36
4
4
9
32
Salus Controls
saluscontrols.com
 34
3
3
9
33
Braeburn
braeburnonline.com
 32
3
3
8
34
PRO1 IAQ
pro1iaq.com
 27
3
3
7
35
Saswell
saswell.com
 22
2
2
6

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 275 shared Smart Thermostats prompts. The same prompts, same model, same iterations. So differences in scores reflect actual differences in AI visibility, not differences in measurement.

Overall AI Visibility Score
Smoothed geometric mean of LBA, Authority and TOM. Authority and TOM are floored at LBA × 0.1 before the geometric mean (the same floor used in the per-metric cards above, so brand cards and the composite tell the same story). Formula: composite = ((LBA + 5)(Authority + 5)(TOM + 5))^(1/3) - 5. The floor keeps brands the model clearly recognises but doesn't yet recommend from collapsing to zero, while a single genuinely weak metric still pulls the composite down. Full methodology.
Shared industry prompts
For Authority and TOM, all brands in the industry are scored against the same 275 category prompts (e.g. "best SEO tools for agencies"). This makes brand-to-brand comparisons valid - everyone faces identical inputs. LBA prompts are per-brand because they ask brand-specific questions.
Latent Brand Association (LBA)
5 brand probes + 1 control prompt, each run 5 times in recall mode (no web search). LBA = quality × meta × stability × share × recognition × 100. Read the full LBA methodology →
LLM Authority
50 organic category prompts (discovery, comparison, problem and transactional intents), each run once in recall mode and once in retrieval mode. Score = frequency × log-decayed prominence × intent weight, then 50/50 averaged across the two modes. Read the full Authority methodology →
Top of Mind (TOM)
15 high-volume discovery prompts (sourced from Keywords Everywhere search-volume data), each run 5 times in pure recall mode (no web). Score = frequency × (0.5 + 0.5 × log-prominence), volume-weighted. Read the full TOM methodology →