Overview Leaderboard Methodology
Industry Report

Design System Management

Tools that help teams create, maintain, version, and distribute shared design components, patterns, and tokens across products.

Brands tracked: 35
Brands analyzed: 35
Last updated: 2026-04-22
Model: OpenAI GPT-5
Prompts: 275
Total responses: 1,400
Top Brand Overall?
Figma
87/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Storybook
91

Highest score on the LBA metric.

Authority Leader?
Figma
80

Highest score on the Authority metric.

TOM Leader?
Figma
100

Highest score on the TOM metric.

Figma is the default answer in AI responses for Design System Management

Figma and Storybook together dominate AI responses for Design System Management. 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 35 Design System Management 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
Figma
figma.com
 83
80
100
87
2
Storybook
storybook.js.org
 91
59
89
78
3
zeroheight
zeroheight.com
 60
70
98
74
4
Supernova
supernova.io
 35
39
76
47
5
Tokens Studio
tokens.studio
 69
29
51
47
6
Knapsack
knapsack.cloud
 38
16
49
31
7
Chromatic
chromatic.com
 79
6
30
25
8
Frontify
frontify.com
 75
9
23
25
9
Backlight
backlight.dev
 45
5
42
21
10
Specify
specifyapp.com
 40
4
19
14
11
Bit
bit.dev
 63
1
13
10
12
GitHub
github.com
 81
0
16
2
13
MUI
mui.com
 83
0
5
2
14
Notion
notion.so
 77
0
16
2
15
Tokens Studio for Figma
tokenstudio.com
 67
0
9
2
16
UXPin
uxpin.com
 75
0
20
2
17
Abstract
abstract.com
 62
0
2
1
18
Atlassian
atlassian.com
 80
0
3
1
19
Chakra UI
chakra-ui.com
 87
0
1
1
20
Fractal
fractal.build
 52
0
2
1
21
I
InVision
invisionwfm.com
 64
0
1
1
22
Ladle
ladle.dev
 9
0
9
1
23
Lingo
lingoapp.com
 21
0
7
1
24
Nx
nx.dev
 54
0
1
1
25
Penpot
penpot.app
 67
0
2
1
26
Sketch
sketch.com
 73
0
2
1
27
Zeplin
zeplin.io
 74
0
3
1
28
Catalog
catalog.style
 18
0
0
0
29
Ditto
dittowords.com
 23
0
0
0
30
Docz
docz.site
 24
0
0
0
31
Histoire
histoire.dev
 5
0
0
0
32
Interplay
interplayapp.com
 12
0
0
0
33
Modulz
modulz.app
 41
0
0
0
34
Pattern Lab
patternlab.io
 52
0
0
0
35
Plasmic
plasmic.app
 67
0
0
0

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 275 shared Design System Management 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 275 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 →