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 in this industry.

Authority Leader?
Render
72

Highest score on the Authority metric in this industry.

TOM Leader?
Heroku
100

Highest score on the TOM metric in this industry.

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 (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
Heroku
heroku.com
 85
70
100
84
2
Render
render.com
 80
72
100
83
3
Google
google.com
 83
66
86
78
4
Amazon
amazon.com
 88
54
82
73
5
Microsoft
microsoft.com
 93
43
80
69
6
Fly.io
fly.io
 81
33
77
60
7
Railway
railway.com
 73
31
72
55
8
Vercel
vercel.com
 92
21
33
41
9
DigitalOcean
digitalocean.com
 81
8
54
36
10
Netlify
netlify.com
 96
10
31
33
11
OpenShift
openshift.com
 86
9
11
22
12
Cloud Foundry
cloudfoundry.org
 82
8
11
21
13
Supabase
supabase.com
 89
9
9
21
14
Red Hat OpenShift
redhat.com
 74
7
11
20
15
CapRover
caprover.com
 70
7
7
17
16
Dokku
dokku.com
 65
7
7
16
17
Platform.sh
platform.sh
 67
7
7
16
18
PythonAnywhere
pythonanywhere.com
 66
7
7
16
19
Clever Cloud
clever-cloud.com
 61
6
6
15
20
Gigalixir
gigalixir.com
 60
6
6
15
21
Neon
neon.tech
 62
6
6
15
22
Qovery
qovery.com
 61
6
6
15
23
Cloud 66
cloud66.com
 57
6
6
14
24
E
Engine Yard
engineyard.com
 55
6
6
14
25
Northflank
northflank.com
 56
6
6
14
26
Porter
portermetrics.com
 53
5
5
13
27
D
Deta
deta.space
 48
5
5
12
28
Hatchbox
hatchbox.io
 47
5
5
12
29
Shuttle
shuttle.dev
 47
5
5
12
30
Koyeb
koyeb.com
 41
4
4
11
31
Divio
divio.com
 38
4
4
10
32
Scalingo
scalingo.com
 39
4
4
10
33
Mogenius
mogenius.com
 29
3
3
8
34
N
Nanobox
nanobox.io
 27
3
3
7
35
Appliku
appliku.com
 15
1
1
4
36
Z
Zeet
zeet.co
 10
1
1
3
37
A
Adaptable
adaptable.io
 0
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
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 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 →