Overview Leaderboard Methodology
Industry Report

Activity Trackers

Wrist-worn or clip-on devices focused on tracking steps, sleep, calories burned, and basic health metrics for everyday fitness monitoring.

Brands tracked: 33
Brands analyzed: 33
Last updated: 2026-04-23
Model: OpenAI GPT-5
Prompts: 258
Total responses: 1,320
Top Brand Overall?
Fitbit
91/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Apple
100

Highest score on the LBA metric in this industry.

Authority Leader?
Fitbit
95

Highest score on the Authority metric in this industry.

TOM Leader?
Fitbit
100

Highest score on the TOM metric in this industry.

Fitbit is the default answer in AI responses for Activity Trackers

When users ask ChatGPT, Claude, or Gemini about Activity Trackers, Fitbit is the brand that surfaces first - unprompted, consistently, and usually at the top of any list the model generates. Garmin is a close second, but the gap between them is meaningful. If you're competing in this space and you're not in the top handful, you're effectively invisible to AI-driven discovery.

Brand Leaderboard All 33 Activity Trackers 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
Fitbit
fitbit.com
 80
95
100
91
2
Garmin
garmin.com
 75
51
92
71
3
Apple
apple.com
 100
40
54
60
4
Xiaomi
xiaomi.com
 74
43
46
53
5
Samsung
samsung.com
 86
34
44
51
6
Amazfit
amazfit.com
 68
36
48
49
7
Whoop
whoop.com
 81
10
35
32
8
Huawei
huawei.com
 69
7
20
23
9
Oura
ouraring.com
 76
8
10
20
10
Polar
polar.com
 80
8
8
19
11
COROS
coros.com
 73
7
7
18
12
Withings
withings.com
 72
7
7
18
13
Suunto
suunto.com
 70
7
7
17
14
Bellabeat
bellabeat.com
 63
6
6
16
15
boAt
boat-lifestyle.com
 63
6
6
16
16
Fastrack
fastrack.in
 63
6
6
16
17
Mio
mioglobal.com
 63
6
6
16
18
Noise
gonoise.com
 66
7
7
16
19
TomTom
tomtom.com
 64
6
6
16
20
HONOR
honor.com
 59
6
6
15
21
Jawbone
jawbone.com
 60
6
6
15
22
Misfit
misfit.com
 59
6
6
15
23
GOQii
goqii.com
 57
6
6
14
24
Moov
moov.cc
 58
6
6
14
25
realme
realme.com
 57
6
6
14
26
OnePlus
oneplus.com
 47
5
5
12
27
Sigma Sport
sigmasport.com
 47
5
5
12
28
Healbe
healbe.com
 43
4
4
11
29
OPPO
oppo.com
 43
4
4
11
30
iTouch
itouchwearables.com
 30
3
3
8
31
S
Striiv
striiv.com
 29
3
3
8
32
Actxa
actxa.com
 24
2
2
7
33
C
Cubitt
cubitt.com
 25
2
2
7

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 258 shared Activity Trackers 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 258 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 →