Overview Leaderboard Methodology
Industry Report

Font Marketplaces

Online platforms where type designers and foundries sell and license fonts, typefaces, and related licensing for desktop and web use.

Brands tracked: 35
Brands analyzed: 35
Last updated: 2026-04-22
Model: OpenAI GPT-5
Prompts: 271
Total responses: 1,392
Top Brand Overall?
MyFonts
89/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Hoefler&Co
88

Highest score on the LBA metric.

Authority Leader?
Adobe
87

Highest score on the Authority metric.

TOM Leader?
MyFonts
100

Highest score on the TOM metric.

MyFonts is the default answer in AI responses for Font Marketplaces

MyFonts and Adobe together dominate AI responses for Font Marketplaces. 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 Font Marketplaces 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
MyFonts
myfonts.com
 83
86
100
89
2
Adobe
adobe.com
 77
87
100
87
3
Fontspring
fontspring.com
 72
70
88
76
4
Creative Market
creativemarket.com
 71
42
78
61
5
Monotype
monotype.com
 79
29
74
55
6
Google
google.com
 85
31
35
45
7
Envato Elements
envato.com
 69
9
48
31
8
Commercial Type
commercialtype.com
 77
2
20
15
9
Type Network
typenetwork.com
 53
1
17
8
10
Hoefler&Co
typography.com
 88
0
19
3
11
C
Colophon Foundry
colophon-foundry.org
 69
0
13
2
12
Fontfabric
fontfabric.com
 70
0
6
2
13
Fonts.com
fonts.com
 66
0
23
2
14
Future Fonts
futurefonts.xyz
 42
0
11
2
15
Grilli Type
grillitype.com
 78
0
6
2
16
H
HypeForType
hypefortype.com
 46
0
8
2
17
Lost Type
losttype.com
 58
0
8
2
18
Pangram Pangram
pangrampangram.com
 77
0
7
2
19
YouWorkForThem
youworkforthem.com
 59
0
20
2
20
Dalton Maag
daltonmaag.com
 74
0
2
1
21
Dinamo
abcdinamo.com
 73
0
3
1
22
Emigre
emigre.com
 82
0
1
1
23
Font Bros
fontbros.com
 43
0
2
1
24
Fontshare
fontshare.com
 65
0
4
1
25
Fontstand
fontstand.com
 64
0
1
1
26
KLIM Type Foundry
klim.co.nz
 63
0
4
1
27
Process Type Foundry
processtypefoundry.com
 32
0
6
1
28
Production Type
productiontype.com
 25
0
1
1
29
Typotheque
typotheque.com
 79
0
1
1
30
House Industries
houseindustries.com
 78
0
0
0
31
I Love Typography
ilovetypography.com
 36
0
0
0
32
Indian Type Foundry
indiantypefoundry.com
 76
0
0
0
33
Lineto
lineto.com
 76
0
0
0
34
Paratype
paratype.com
 75
0
0
0
35
Sudtipos
sudtipos.com
 65
0
0
0

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 271 shared Font Marketplaces 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 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 →