Overview Leaderboard Methodology
Industry Report

Raster Image Editors

Software for editing, retouching, and compositing pixel-based images and photographs.

Brands tracked: 30
Brands analyzed: 30
Last updated: 2026-04-22
Model: OpenAI GPT-5
Prompts: 245
Total responses: 1,225
Top Brand Overall?
Adobe
93/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Canva
91

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 Raster Image Editors

When users ask ChatGPT, Claude, or Gemini about Raster Image Editors, Adobe is the brand that surfaces first - unprompted, consistently, and usually at the top of any list the model generates. Affinity Designer 2 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 30 Raster Image 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
Adobe
adobe.com
 80
100
100
93
2
Affinity Designer 2
affinity.studio
 79
34
86
62
3
GIMP
gimp.org
 77
33
79
59
4
Krita
krita.org
 81
13
60
42
5
Capture One
captureone.com
 78
25
24
37
6
Paint.NET
getpaint.net
 73
7
44
31
7
Pixelmator Pro
pixelmator.com
 77
8
35
30
8
Canva
canva.com
 91
22
9
28
9
Photopea
photopea.com
 82
8
23
27
10
PaintShop Pro
corel.com
 74
7
23
25
11
Clip Studio Paint
clipstudio.net
 89
9
10
22
12
Affinity Designer
serif.com
 85
8
8
20
13
Procreate
procreate.com
 85
9
9
20
14
P
PaintTool SAI
systemax.jp
 79
8
8
19
15
Picsart
picsart.com
 79
8
8
19
16
DxO PhotoLab
dxo.com
 70
7
8
18
17
ibis Paint
ibispaint.com
 75
7
7
18
18
Pixlr
pixlr.com
 70
7
8
18
19
RawTherapee
rawtherapee.com
 73
7
7
18
20
Acorn
flyingmeat.com
 70
7
7
17
21
ArtRage
artrage.com
 69
7
7
17
22
darktable
darktable.org
 68
7
7
17
23
Fotor
fotor.com
 68
7
7
17
24
Luminar Neo
skylum.com
 69
7
7
17
25
MediBang Paint
medibang.com
 68
7
7
17
26
ACDSee Photo Studio
acdsee.com
 64
6
6
16
27
Exposure X
exposure.software
 64
6
6
16
28
Polarr
polarr.com
 66
7
7
16
29
ON1 Photo RAW
on1.com
 62
6
6
15
30
Rebelle
escapemotions.com
 63
6
6
15

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 245 shared Raster Image 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 245 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 →