Overview Leaderboard Methodology
Industry Report

CI/CD Platforms

Cloud-hosted and self-managed platforms that automate building, testing, and deployment pipelines for software projects.

Brands tracked: 34
Brands analyzed: 34
Last updated: 2026-04-22
Model: OpenAI GPT-5
Prompts: 269
Total responses: 1,365
Top Brand Overall?
GitHub
99/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
GitHub
97

Highest score on the LBA metric in this industry.

Authority Leader?
GitHub
100

Highest score on the Authority metric in this industry.

TOM Leader?
GitHub
100

Highest score on the TOM metric in this industry.

GitHub is the default answer in AI responses for CI/CD Platforms

GitHub and Microsoft together dominate AI responses for 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 34 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
GitHub
github.com
 97
100
100
99
2
Microsoft
microsoft.com
 97
100
100
99
3
GitLab
gitlab.com
 92
96
98
95
4
CircleCI
circleci.com
 91
62
83
78
5
Jenkins
jenkins.io
 71
43
75
61
6
Atlassian
atlassian.com
 76
11
71
41
7
Buildkite
buildkite.com
 75
13
42
36
8
Amazon
amazon.com
 78
8
44
33
9
Argo CD
argoproj.io
 85
13
26
32
10
Harness
harness.io
 85
8
9
21
11
TeamCity
teamcity.com
 86
9
9
21
12
Google
google.com
 76
8
10
20
13
Octopus Deploy
octopus.com
 81
8
8
20
14
Bitrise
bitrise.io
 77
8
8
19
15
Codefresh
codefresh.io
 77
8
8
19
16
Flux CD
fluxcd.io
 80
8
8
19
17
Spinnaker
spinnaker.io
 77
8
8
19
18
Tekton
tekton.dev
 77
8
9
19
19
CloudBees
cloudbees.com
 72
7
7
18
20
Semaphore
semaphoreci.com
 74
7
7
18
21
AppVeyor
appveyor.com
 68
7
7
17
22
Buildbot
buildbot.net
 67
7
7
17
23
Codemagic
codemagic.io
 71
7
7
17
24
GoCD
gocd.org
 71
7
7
17
25
Concourse
concourse-ci.org
 63
6
6
16
26
Travis CI
travisci.com
 65
6
6
16
27
Cirrus CI
cirrus-ci.org
 59
6
6
15
28
Buddy
buddy.works
 57
6
6
14
29
Screwdriver
screwdriver.cd
 55
5
5
14
30
Zuul
zuul-ci.org
 54
5
5
14
31
DeployBot
deploybot.com
 51
5
5
13
32
Appcircle
appcircle.io
 45
4
4
12
33
Drone
drone.io
 43
4
4
11
34
Woodpecker CI
woodpecker-ci.org
 40
4
4
10

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 269 shared 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 269 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 →