Overview Leaderboard Methodology
Industry Report

Managed DevOps and CI/CD Platforms

Integrated services that combine source hosting with build pipelines, automated testing, deployment workflows, and monitoring to streamline software delivery.

Brands tracked: 37
Brands analyzed: 37
Last updated: 2026-04-22
Model: OpenAI GPT-5
Prompts: 287
Total responses: 1,470
Top Brand Overall?
Microsoft
100/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Microsoft
100

Highest score on the LBA metric in this industry.

Authority Leader?
Microsoft
100

Highest score on the Authority metric in this industry.

TOM Leader?
Microsoft
100

Highest score on the TOM metric in this industry.

Microsoft is the default answer in AI responses for Managed DevOps and CI/CD Platforms

Microsoft and GitHub together dominate AI responses for Managed DevOps and CI/CD Platforms. 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 37 Managed DevOps and CI/CD Platforms 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
Microsoft
microsoft.com
 100
100
100
100
2
GitHub
github.com
 100
97
100
99
3
GitLab
gitlab.com
 95
99
97
97
4
Azure DevOps
azure.com
 88
34
77
62
5
CircleCI
circleci.com
 91
26
78
58
6
Atlassian
atlassian.com
 79
8
59
36
7
Bitbucket
bitbucket.org
 77
8
56
35
8
Jenkins
jenkins.io
 74
16
33
35
9
Amazon
amazon.com
 83
8
41
33
10
Google
google.com
 88
9
20
27
11
Harness
harness.io
 88
9
19
26
12
Render
render.com
 76
8
15
22
13
Vercel
vercel.com
 85
8
11
22
14
Argo CD
argoproj.io
 86
9
9
21
15
Buildkite
buildkite.com
 76
8
13
21
16
TeamCity
teamcity.com
 87
9
9
21
17
Octopus Deploy
octopus.com
 80
8
8
19
18
Terraform
hashicorp.com
 80
8
8
19
19
CloudBees
cloudbees.com
 72
7
7
18
20
Codefresh
codefresh.io
 76
8
8
18
21
Codemagic
codemagic.io
 73
7
7
18
22
GoCD
gocd.org
 74
7
7
18
23
Semaphore
semaphoreci.com
 75
7
7
18
24
Travis CI
travisci.com
 69
7
7
17
25
Gitea
gitea.com
 64
6
6
16
26
SourceHut
sr.ht
 66
7
7
16
27
Beanstalk
beanstalkapp.com
 57
6
6
14
28
Concourse
concourse-ci.org
 55
5
5
14
29
Buddy
buddy.works
 51
5
5
13
30
Drone
drone.io
 54
5
5
13
31
Nevercode
nevercode.io
 50
5
5
13
32
Appcircle
appcircle.io
 43
4
4
11
33
Assembla
assembla.com
 42
4
4
11
34
Codeberg
codeberg.org
 42
4
4
11
35
RhodeCode
rhodecode.com
 42
4
4
11
36
Woodpecker
woodpecker.co
 37
4
4
10
37
Upsource
jetbrains.com
 12
1
1
4

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 287 shared Managed DevOps and CI/CD Platforms 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 287 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 →