Overview Leaderboard Methodology
Industry Report

Interaction Design Suites

Comprehensive products for designing and animating UI interactions and microinteractions, often including timelines, triggers, and component states.

Brands tracked: 33
Brands analyzed: 33
Last updated: 2026-04-22
Model: OpenAI GPT-5
Prompts: 263
Total responses: 1,330
Top Brand Overall?
Figma
93/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Adobe
85

Highest score on the LBA metric in this industry.

Authority Leader?
Figma
100

Highest score on the Authority metric in this industry.

TOM Leader?
Figma
100

Highest score on the TOM metric in this industry.

Figma is the default answer in AI responses for Interaction Design Suites

When users ask ChatGPT, Claude, or Gemini about Interaction Design Suites, Figma is the brand that surfaces first - unprompted, consistently, and usually at the top of any list the model generates. Framer 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 33 Interaction Design Suites 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
Figma
figma.com
 81
100
100
93
2
Framer
framer.com
 82
72
92
82
3
ProtoPie
protopie.io
 74
44
85
65
4
Axure
axure.com
 77
42
70
61
5
Adobe
adobe.com
 85
11
60
40
6
Sketch
sketch.com
 80
15
30
34
7
UXPin
uxpin.com
 74
19
23
33
8
P
Principle
principleformac.com
 65
8
54
32
9
LottieFiles
lottiefiles.com
 72
7
14
21
10
Rive
rive.app
 75
8
13
21
11
Miro
miro.com
 81
8
8
20
12
Penpot
penpot.app
 68
10
7
19
13
Balsamiq
balsamiq.com
 70
7
7
17
14
I
InVision
invisionwfm.com
 69
7
7
17
15
Proto.io
proto.io
 68
7
7
17
16
Origami Studio
origami.design
 64
6
6
16
17
Spline
spline.design
 63
6
6
16
18
Tumult Hype
tumult.com
 64
6
6
16
19
Justinmind
justinmind.com
 59
6
6
15
20
Flinto
flinto.com
 55
5
5
14
21
Marvel
marvelapp.com
 58
6
6
14
22
Mockplus
mockplus.com
 55
5
5
14
23
Moqups
moqups.com
 58
6
6
14
24
Anima
animaapp.com
 47
5
7
13
25
MockFlow
mockflow.com
 50
5
5
13
26
Pixso
pixso.net
 47
5
5
12
27
Visily
visily.ai
 46
5
5
12
28
Jitter
jitter.video
 43
4
4
11
29
Atomic
atomic.io
 40
4
4
10
30
Quant-UX
quant-ux.com
 31
3
3
8
31
A
Antetype
antetype.com
 21
2
2
6
32
Play
createwithplay.com
 18
2
2
5
33
UX-App
ux-app.com
 0
0
0
0

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 263 shared Interaction Design Suites 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 263 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 →