Overview Leaderboard Methodology
Industry Report

Hybrid Watches

Analog-style watches that integrate discreet smart features such as activity tracking and notifications while preserving traditional watch aesthetics.

Brands tracked: 34
Brands analyzed: 34
Last updated: 2026-04-23
Model: OpenAI GPT-5
Prompts: 269
Total responses: 1,365
Top Brand Overall?
Withings
93/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Apple
89

Highest score on the LBA metric in this industry.

Authority Leader?
Withings
100

Highest score on the Authority metric in this industry.

TOM Leader?
Withings
100

Highest score on the TOM metric in this industry.

Withings is the default answer in AI responses for Hybrid Watches

Withings and Garmin together dominate AI responses for Hybrid Watches. 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 34 Hybrid Watches 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
Withings
withings.com
 81
100
100
93
2
Garmin
garmin.com
 83
87
100
90
3
Fossil
fossil.com
 71
53
89
70
4
Skagen
skagen.com
 63
9
66
36
5
Citizen
citizenwatch.com
 73
7
25
26
6
Michael Kors
michaelkors.com
 83
8
18
25
7
Apple
apple.com
 89
9
9
21
8
G-Shock
gshock.com
 83
8
8
20
9
Emporio Armani
armani.com
 80
8
8
19
10
Timex
timex.com
 77
8
8
19
11
Kate Spade
katespade.com
 73
7
7
18
12
Casio
casio.com
 71
7
7
17
13
Samsung
samsung.com
 68
7
7
17
14
Edifice
edifice-watches.com
 65
7
7
16
15
Frederique Constant
frederiqueconstant.com
 67
7
7
16
16
Tissot
tissotwatches.com
 66
7
7
16
17
Amazfit
amazfit.com
 62
6
6
15
18
Diesel
diesel.com
 60
6
6
15
19
Misfit
misfit.com
 62
6
6
15
20
Armani Exchange
armaniexchange.com
 56
6
6
14
21
Marc Jacobs
marcjacobs.com
 56
6
6
14
22
Mondaine
mondaine.com
 55
6
6
14
23
T
TicWatch
ticwatch.com
 56
6
6
14
24
A
Alpina
alpina-watches.com
 52
5
5
13
25
Kronaby
kronaby.com
 53
5
5
13
26
wena
wena.jp
 49
5
5
12
27
Cogito
cogitowatch.com
 43
4
4
11
28
Lotus
lotus-watches.com
 37
4
4
10
29
V
Vector Watch
vectorwatch.com
 39
4
4
10
30
M
MyKronoz
mykronoz.com
 35
4
4
9
31
Sequent
sequentworld.com
 33
3
3
9
32
Martian
martianwatches.com
 27
3
3
7
33
Noerden
noerden.com
 25
3
3
7
34
Kairos
kairoswatches.com
 22
2
2
6

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 269 shared Hybrid Watches 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 269 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 →