Overview Leaderboard Methodology
Industry Report

Motion Graphics Suites

Specialized software for creating motion graphics, visual effects, and compositing for titles, animations, and broadcast-quality visuals.

Brands tracked: 27
Brands analyzed: 27
Last updated: 2026-04-22
Model: OpenAI GPT-5
Prompts: 227
Total responses: 1,120
Top Brand Overall?
Adobe
97/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
DaVinci Resolve
94

Highest score on the LBA metric in this industry.

Authority Leader?
Adobe
100

Highest score on the Authority metric in this industry.

TOM Leader?
Adobe
100

Highest score on the TOM metric in this industry.

Adobe is the default answer in AI responses for Motion Graphics Suites

When users ask ChatGPT, Claude, or Gemini about Motion Graphics Suites, Adobe is the brand that surfaces first - unprompted, consistently, and usually at the top of any list the model generates. DaVinci Resolve 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 27 Motion Graphics 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
Adobe
adobe.com
 91
100
100
97
2
DaVinci Resolve
blackmagicdesign.com
 94
58
64
71
3
Apple
apple.com
 71
39
47
51
4
Motion
usemotion.com
 55
39
43
45
5
Cinema 4D
maxon.net
 86
17
54
44
6
Blender
blender.org
 88
26
29
41
7
Boris FX
borisfx.com
 86
9
12
22
8
Houdini
sidefx.com
 93
9
9
22
9
Cavalry
scenegroup.co
 47
10
18
21
10
Nuke Studio
foundry.com
 86
9
9
21
11
Toon Boom Harmony
toonboom.com
 86
9
9
21
12
TouchDesigner
derivative.ca
 88
9
9
21
13
Resolume
resolume.com
 84
8
8
20
14
Silhouette
silhouettefx.com
 73
7
7
18
15
Alight Motion
alightmotion.com
 68
7
7
17
16
Chyron
chyron.com
 71
7
7
17
17
Vizrt
vizrt.com
 72
7
7
17
18
XPression
rossvideo.com
 70
7
7
17
19
HitFilm
fxhome.com
 63
6
6
16
20
Notch
notch.one
 64
6
6
16
21
VEGAS Pro
vegascreativesoftware.com
 67
7
7
16
22
Ventuz
ventuz.com
 60
6
6
15
23
CasparCG
casparcg.com
 51
5
5
13
24
disguise
disguise.one
 54
5
5
13
25
Zero Density
zerodensity.io
 52
5
5
13
26
Natron
natron.fr
 45
5
5
12
27
Flame
autodesk.com
 37
4
6
11

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 227 shared Motion Graphics 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 227 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 →