Overview Leaderboard Methodology
Industry Report

Protein Powders

Powdered protein supplements derived from whey, casein, plant, or blended sources for muscle support and meal replacement.

Brands tracked: 32
Brands analyzed: 32
Last updated: 2026-04-23
Model: OpenAI GPT-5
Prompts: 257
Total responses: 1,295
Top Brand Overall?
Optimum Nutrition
88/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Optimum Nutrition
87

Highest score on the LBA metric.

Authority Leader?
Optimum Nutrition
77

Highest score on the Authority metric.

TOM Leader?
Optimum Nutrition
100

Highest score on the TOM metric.

Optimum Nutrition is the default answer in AI responses for Protein Powders

When users ask ChatGPT, Claude, or Gemini about Protein Powders, Optimum Nutrition is the brand that surfaces first - unprompted, consistently, and usually at the top of any list the model generates. Dymatize 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 32 Protein Powders 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
Optimum Nutrition
optimumnutrition.com
 87
77
100
88
2
Dymatize
dymatize.com
 87
56
92
77
3
Orgain
orgain.com
 72
34
74
57
4
Transparent Labs
transparentlabs.com
 76
21
58
45
5
Myprotein
myprotein.com
 69
24
40
40
6
Isopure
theisopurecompany.com
 77
22
32
38
7
Garden of Life
gardenoflife.com
 72
13
54
37
8
Isopure Zero Carb
isopure.com
 79
21
20
33
9
Vega
myvega.com
 74
5
21
20
10
Ascent
ascentprotein.com
 66
3
7
11
11
Body Fortress
bodyfortress.com
 58
0
2
3
12
Legion Whey+
legionathletics.com
 75
0
21
3
13
Kaged
kaged.com
 70
0
13
2
14
Muscletech
muscletech.com
 76
0
10
2
15
Naked Nutrition
nakednutrition.com
 70
0
13
2
16
BPN
bpnsupps.com
 69
0
1
1
17
BSN
gobsn.com
 79
0
2
1
18
NOW Sports
nowfoods.com
 68
0
1
1
19
PEScience
pescience.com
 74
0
2
1
20
Amazing Grass
amazinggrass.com
 60
0
0
0
21
Bulk
bulk.com
 71
0
0
0
22
Ghost Energy
ghostlifestyle.com
 73
0
0
0
23
JYM Supplement Science
jymsupplementscience.com
 72
0
0
0
24
Lenovo
lenovo.com
 6
0
0
0
25
MRE
redcon1.com
 52
0
0
0
26
NutraBio
nutrabio.com
 64
0
0
0
27
P
Per4m
per4m.com
 30
0
0
0
28
Promix
promixnutrition.com
 59
0
0
0
29
Rule One Proteins
ruleoneproteins.com
 66
0
0
0
30
Ryse
rysesupps.com
 63
0
0
0
31
Six Star Pro Nutrition
sixstarpro.com
 54
0
0
0
32
Sunwarrior
sunwarrior.com
 75
0
0
0

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 257 shared Protein Powders 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 257 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 →