Overview Leaderboard Methodology
Industry Report

General Fitness Apps

Mobile apps that provide a variety of workout routines, tracking, and basic coaching across strength, cardio, and flexibility for broad user audiences.

Brands tracked: 36
Brands analyzed: 36
Last updated: 2026-04-23
Model: OpenAI GPT-5
Prompts: 281
Total responses: 1,435
Top Brand Overall?
Nike
97/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Apple
94

Highest score on the LBA metric in this industry.

Authority Leader?
Nike
100

Highest score on the Authority metric in this industry.

TOM Leader?
Nike
100

Highest score on the TOM metric in this industry.

Nike is the default answer in AI responses for General Fitness Apps

When users ask ChatGPT, Claude, or Gemini about General Fitness Apps, Nike is the brand that surfaces first - unprompted, consistently, and usually at the top of any list the model generates. Apple 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 36 General Fitness Apps 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
Nike
nike.com
 91
100
100
97
2
Apple
apple.com
 94
34
77
63
3
Peloton
onepeloton.com
 79
37
84
63
4
Fitbod
fitbod.me
 70
21
61
45
5
Centr
centr.com
 71
25
48
44
6
MyFitnessPal
myfitnesspal.com
 87
15
44
40
7
Strava
strava.com
 83
14
52
40
8
FitOn
fitonapp.com
 73
27
29
39
9
Freeletics
freeletics.com
 68
7
52
32
10
JEFIT
jefit.com
 66
7
35
27
11
Google
google.com
 73
8
18
24
12
adidas
adidas.com
 73
7
19
23
13
Fitbit
fitbit.com
 78
8
15
22
14
Sweat
sweat.com
 73
7
13
21
15
Down Dog
downdogapp.com
 82
8
8
20
16
Les Mills+
lesmills.com
 79
8
8
19
17
Aaptiv
aaptiv.com
 70
7
9
18
18
cult.fit
cult.fit
 71
7
7
17
19
Future
future.co
 68
7
7
17
20
Map My Fitness
mapmyfitness.com
 68
7
7
17
21
BetterMe
betterme.world
 67
7
7
16
22
Daily Burn
dailyburn.com
 64
6
6
16
23
Hevy
hevyapp.com
 66
7
7
16
24
Sworkit
sworkit.com
 64
6
6
16
25
Tone It Up
toneitup.com
 61
6
6
15
26
Workout Trainer
skimble.com
 59
6
6
15
27
8fit
8fit.com
 56
6
6
14
28
Asana Rebel
asanarebel.com
 58
6
6
14
29
Fitify
fitifyapps.com
 56
6
6
14
30
Fiit
fiit.tv
 52
5
5
13
31
Gymondo
gymondo.com
 50
5
5
13
32
Seven
seven.app
 48
5
5
12
33
Strong
strong.app
 20
2
25
12
34
Keep
gotokeep.com
 44
4
4
11
35
BodBot
bodbot.com
 37
4
4
10
36
Shred
shred.app
 29
3
3
8

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 281 shared General Fitness Apps 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 281 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 →