Overview Leaderboard Methodology
Industry Report

Home Workout & Bodyweight Apps

Apps designed primarily for at-home exercise using bodyweight or minimal equipment, offering short routines, challenges, and progress tracking.

Brands tracked: 38
Brands analyzed: 38
Last updated: 2026-04-23
Model: OpenAI GPT-5
Prompts: 293
Total responses: 1,505
Top Brand Overall?
Nike
98/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Nike
94

Highest score on the LBA metric.

Authority Leader?
Nike
100

Highest score on the Authority metric.

TOM Leader?
Nike
100

Highest score on the TOM metric.

Nike is the default answer in AI responses for Home Workout & Bodyweight Apps

When users ask ChatGPT, Claude, or Gemini about Home Workout & Bodyweight Apps, Nike is the brand that surfaces first - unprompted, consistently, and usually at the top of any list the model generates. Peloton 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 38 Home Workout & Bodyweight Apps brands ranked

Ranked by overall AI Visibility Score (geometric mean of LBA, Authority, and TOM). Click any brand for the full report.

# Brand LBA Authority TOM Overall
1
Nike
nike.com
 94
100
100
98
2
Peloton
onepeloton.com
 86
38
90
66
3
FitOn
fitonapp.com
 73
46
60
59
4
Apple
apple.com
 81
24
69
51
5
Peloton App
peloton.com
 82
24
64
50
6
Freeletics
freeletics.com
 71
24
53
45
7
Down Dog
downdogapp.com
 74
11
49
34
8
Alo Moves
alomoves.com
 74
5
38
25
9
Fitbod
fitbod.me
 72
8
29
25
10
Centr
centr.com
 70
3
43
20
11
Sweat
sweat.com
 70
8
15
20
12
Aaptiv
aaptiv.com
 66
0
12
2
13
adidas
adidas.com
 67
0
12
2
14
BODi
bodi.com
 64
0
9
2
15
Daily Burn
dailyburn.com
 67
0
15
2
16
Future
future.co
 66
0
8
2
17
JEFIT
jefit.com
 66
0
7
2
18
Les Mills+
lesmills.com
 79
0
15
2
19
obé fitness
obefitness.com
 66
0
6
2
20
Asana Rebel
asanarebel.com
 65
0
0
1
21
BetterMe
betterme.world
 62
0
3
1
22
Fiit
fiit.tv
 50
0
2
1
23
Fitify
fitifyapps.com
 51
0
1
1
24
Madbarz
madbarz.com
 44
0
4
1
25
Seven
seven.app
 43
0
2
1
26
Thenx
thenx.com
 68
0
4
1
27
8fit
8fit.com
 54
0
0
0
28
Blogilates
blogilates.com
 59
0
0
0
29
BodBot
bodbot.com
 34
0
0
0
30
cult.fit
cult.fit
 65
0
0
0
31
FizzUp
fizzup.com
 20
0
0
0
32
Keep
gotokeep.com
 32
0
0
0
33
Mad Muscles
madmuscles.com
 33
0
0
0
34
Melissa Wood Health
melissawoodhealth.com
 63
0
0
0
35
Shred
shred.app
 27
0
0
0
36
Sworkit
sworkit.com
 61
0
0
0
37
The Sculpt Society
thesculptsociety.com
 71
0
0
0
38
Tone It Up
toneitup.com
 63
0
0
0

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 293 shared Home Workout & Bodyweight 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
Geometric mean of LBA, Authority and TOM: (LBA × Authority × TOM)^(1/3). Geometric mean is used so that any single weak metric pulls the overall score down, rather than being masked by strength elsewhere.
Shared industry prompts
For Authority and TOM, all brands in the industry are scored against the same 293 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 →