Overview Leaderboard Methodology
Industry Report

Consumer Video Editors

User-friendly video editing apps and desktop software aimed at casual creators and social-media users for quick editing, templates, and easy sharing.

Brands tracked: 35
Brands analyzed: 35
Last updated: 2026-04-22
Model: OpenAI GPT-5
Prompts: 271
Total responses: 1,392
Top Brand Overall?
CapCut
87/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Canva
96

Highest score on the LBA metric in this industry.

Authority Leader?
CapCut
81

Highest score on the Authority metric in this industry.

TOM Leader?
CapCut
96

Highest score on the TOM metric in this industry.

CapCut is the default answer in AI responses for Consumer Video Editors

CapCut and Adobe together dominate AI responses for Consumer Video Editors. 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 Consumer Video Editors 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
CapCut
capcut.com
 85
81
96
87
2
Adobe
adobe.com
 90
67
87
81
3
DaVinci Resolve
blackmagicdesign.com
 76
81
48
66
4
Clipchamp
clipchamp.com
 74
23
62
48
5
Filmora
wondershare.com
 75
16
48
39
6
Apple
apple.com
 89
9
35
33
7
Canva
canva.com
 96
10
22
30
8
PowerDirector
cyberlink.com
 88
9
20
27
9
InShot
inshot.com
 78
8
18
24
10
LumaFusion
luma-touch.com
 85
9
9
21
11
Camtasia
techsmith.com
 81
8
8
20
12
VN Video Editor
vlognow.me
 62
6
15
20
13
Descript
descript.com
 80
8
8
19
14
KineMaster
kinemaster.com
 77
8
8
19
15
Videoleap
videoleapapp.com
 73
7
7
18
16
Animoto
animoto.com
 70
7
7
17
17
VideoStudio
videostudiopro.com
 69
7
7
17
18
FlexClip
flexclip.com
 64
6
6
16
19
Movavi Video Editor
movavi.com
 67
7
7
16
20
Quik
gopro.com
 65
7
7
16
21
Biteable
biteable.com
 61
6
6
15
22
VivaVideo
vivavideo.tv
 61
6
6
15
23
VN
vnvideoeditor.com
 38
4
15
15
24
WeVideo
wevideo.com
 62
6
6
15
25
Y
YouCut
youcutapp.com
 59
6
6
15
26
Flixier
flixier.com
 57
6
6
14
27
Funimate
funimate.com
 56
6
6
14
28
Magisto
magisto.com
 55
6
6
14
29
Promo
promo.com
 58
6
6
14
30
Splice
spliceapp.com
 57
6
6
14
31
VLLO
vllo.io
 56
6
6
14
32
VideoShow
videoshowapp.com
 53
5
5
13
33
VivaCut
vivacut.com
 50
5
5
13
34
Mojo
mojo-app.com
 33
3
3
9
35
BeeCut
beecut.com
 30
3
3
8

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 271 shared Consumer Video Editors 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 271 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 →