Overview Leaderboard Methodology
Industry Report

Platform-as-a-Service Providers

Managed application hosting environments that abstract infrastructure and provide runtime, scaling, and developer-focused services for building and deploying apps.

Brands tracked: 37
Brands analyzed: 37
Last updated: 2026-04-22
Model: OpenAI GPT-5
Prompts: 283
Total responses: 1,462
Top Brand Overall?
Heroku
84/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Netlify
96

Highest score on the LBA metric.

Authority Leader?
Render
72

Highest score on the Authority metric.

TOM Leader?
Heroku
100

Highest score on the TOM metric.

Heroku leads the Platform-as-a-Service Providers category in AI responses

Heroku is the most consistently-surfaced brand when users ask AI assistants about Platform-as-a-Service Providers, but not to the point of monopolising the conversation. Render and a handful of others appear regularly, giving users a reasonable set of alternatives to compare. The top of this leaderboard is where most of the AI-driven traffic will go.

Brand Leaderboard All 37 Platform-as-a-Service Providers 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
Heroku
heroku.com
 85
70
100
84
2
Render
render.com
 80
72
100
83
3
Google
google.com
 83
66
86
78
4
Fly.io
fly.io
 81
33
77
59
5
Railway
railway.com
 73
31
72
55
6
Vercel
vercel.com
 92
21
33
40
7
DigitalOcean
digitalocean.com
 81
8
54
32
8
Netlify
netlify.com
 96
7
31
28
9
OpenShift
openshift.com
 86
3
11
14
10
Red Hat OpenShift
redhat.com
 74
3
11
13
11
Cloud Foundry
cloudfoundry.org
 82
0
11
2
12
Microsoft
microsoft.com
 93
0
14
2
13
Platform.sh
platform.sh
 67
0
6
2
14
Dokku
dokku.com
 65
0
1
1
15
Neon
neon.tech
 62
0
2
1
16
Supabase
supabase.com
 89
0
3
1
17
A
Adaptable
adaptable.io
 0
0
0
0
18
Amazon
amazon.com
 88
0
0
0
19
Appliku
appliku.com
 15
0
0
0
20
CapRover
caprover.com
 70
0
0
0
21
Clever Cloud
clever-cloud.com
 61
0
0
0
22
Cloud 66
cloud66.com
 57
0
0
0
23
D
Deta
deta.space
 48
0
0
0
24
Divio
divio.com
 38
0
0
0
25
E
Engine Yard
engineyard.com
 55
0
0
0
26
Gigalixir
gigalixir.com
 60
0
0
0
27
Hatchbox
hatchbox.io
 47
0
0
0
28
Koyeb
koyeb.com
 41
0
0
0
29
Mogenius
mogenius.com
 29
0
0
0
30
N
Nanobox
nanobox.io
 27
0
0
0
31
Northflank
northflank.com
 56
0
0
0
32
Porter
portermetrics.com
 53
0
0
0
33
PythonAnywhere
pythonanywhere.com
 66
0
0
0
34
Qovery
qovery.com
 61
0
0
0
35
Scalingo
scalingo.com
 39
0
0
0
36
Shuttle
shuttle.dev
 47
0
0
0
37
Z
Zeet
zeet.co
 10
0
0
0

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 283 shared Platform-as-a-Service Providers 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 283 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 →