AI visibility report
TeamCity ranks #6 in CI/CD & Build Systems AI search.
Outside the top three on 14 of the 25 prompts buyers actually ask.
Buildkite is cited on 7 of those losses.
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Also benchmarked
TeamCity appears in 2 other verticals
Track TeamCity across these prompts daily.
Start free trial#6 among 16 vendors · still absent from 93.3% of tracked prompt responses
Top-3 citations across 150 prompt × platform pairs
Peer Ranking
Key Metrics
Platform Breakdown
Google AI Mode
Gemini Search
ChatGPT
Perplexity
Bing Copilot
GrokVisible, but narrative can improve. TeamCity ranks #6 on presence but #8 on sentiment. The brand appears relatively often, but competitors may be getting more favorable language when they appear.
Where TeamCity is losing
Prompts where competitors are visible and TeamCity is not.
These prompt-level losses are the first prompts to track and repair.
Where TeamCity is winning5
Which modern cloud-native CI platforms make it easiest to migrate from a self-hosted build setup without breaking existing workflows?
Avg # 1.0 · 1 platform
Which build systems enforce consistent dependency versions and prevent supply chain issues at the build stage?
Avg # 1.0 · 1 platform
What security scanning and SAST tools integrate best into an existing build pipeline without significantly increasing build times?
Avg # 2.0 · 1 platform
Which CI platforms scale best to handle hundreds of concurrent pipelines during peak hours without queueing delays?
Avg # 2.0 · 1 platform
Which CI platforms or techniques reduce pipeline cold-start times most effectively when using ephemeral containerized runners?
Avg # 2.0 · 1 platform
Where TeamCity is losing5
Which managed CI/CD providers offer the strongest SLAs and uptime track record for teams evaluating reliability before committing?
Competitors on 3 platforms
Track this promptWhich enterprise build systems handle dynamic pipeline generation best — generating jobs based on which packages changed in a monorepo?
Competitors on 3 platforms
Track this promptWhich CI platforms support GPU-dependent ML training jobs in a build pipeline without requiring self-hosted runners?
Competitors on 3 platforms
Track this promptWhich build systems handle incremental builds and caching best for large TypeScript monorepos to avoid rebuilding unchanged packages?
Competitors on 2 platforms
Track this promptWhat tools or approaches let you benchmark build execution speed across different CI platforms for the same test suite?
Competitors on 2 platforms
Track this prompt
Track TeamCity daily before the next report refresh.
Track these gapsResearch dossierCapabilities, use cases, sources, reviews, pricing, and FAQ
Overview
TeamCity is a commercial CI/CD server developed by JetBrains, first released in October 2006 and available as both a self-hosted on-premises installation and a fully managed SaaS (TeamCity Cloud). It automates the build, test, and deployment stages of software development, supporting a wide range of languages, frameworks, and version control systems. TeamCity is known for its out-of-the-box functionality—including build chain visualization, test intelligence, artifact reuse, and Kotlin DSL pipeline-as-code—without requiring extensive third-party plugin configuration. A freemium model offers a fully featured free Professional tier (up to 100 build configurations, 3 agents) with a paid Enterprise tier for larger teams. Deep integration with the JetBrains IDE ecosystem is a key differentiator for teams using IntelliJ IDEA, Rider, or PyCharm.
TeamCity by JetBrains is a mature, enterprise-grade CI/CD server that automates build, test, and deployment pipelines across on-premises, cloud, and hybrid environments. It combines Kotlin DSL pipeline-as-code with a modern visual pipeline editor, broad VCS and cloud integrations, and built-in test intelligence to help teams—from small shops on the free tier to large enterprises managing thousands of daily builds—deliver software faster and more reliably.
Key Facts
- Founded
- 2000
- HQ
- Amsterdam, Netherlands
- Founders
- Sergey Dmitriev, Valentin Kipyatkov, Eugene Belyaev
- Employees
- 1001-5000
- Funding
- None (bootstrapped)
- Status
- Private
Target users
Key Capabilities10
- Automated CI/CD pipeline orchestration across build, test, and deployment stages
- Kotlin DSL and YAML-based pipeline-as-code configuration
- Visual pipeline editor with drag-and-drop dependencies (TeamCity Pipelines)
- Test intelligence: targeted test execution based on code change impact and flaky test detection
- Build artifact reuse and dependency caching to reduce pipeline duration
- Parallel and distributed test execution across multiple build agents
- On-premises, SaaS cloud, and hybrid deployment models
- Pre-tested commits: validate code changes on the server before committing
- Detailed build logs, statistics dashboards, and performance monitoring
- Freemium licensing with a fully-featured free Professional tier (100 build configs, 3 agents)
Key Use Cases7
- Enterprise CI/CD pipeline automation for multi-team software delivery
- Build and test automation for JVM, .NET, mobile, and multi-language projects
- Game development CI/CD with Perforce, Unity, and Unreal Engine integrations
- Hybrid on-premises and cloud build infrastructure management
- Large-scale monorepo and multi-repo build chain orchestration
- Pre-commit code quality gating via pre-tested commits and personal builds
- Kubernetes-native CI/CD with dynamic on-demand agent provisioning
TeamCity customer outcomes
30% reduction in build execution time
The IntelliJ Infrastructure team uses TeamCity to manage CI/CD pipelines for 700–800 engineers, running thousands of daily builds across on-premises servers and AWS. TeamCity's build chain optimization, parallel test execution, and intelligent artifact reuse drove a measurable re
Recent Trend
How AI describes TeamCity3
For a team of about 30 engineers moving off a self-hosted CI system (such as Jenkins, TeamCity, or a self-managed GitLab CI), the "smoothest onboarding" usually comes down to four things: * Developers can become productive without learning an enti...
Which managed CI platforms have the smoothest onboarding experience when migrating a team of 30 engineers from a self-hosted system?
https://blog.jetbrains.com/teamcity/2025/12/is-your-ci-cd-tool-helping-or-hindering-performance/  and which Git provider you use (GitHub, GitLab, Bitbucket), I can give you a more tailored recommendation.
What CI platforms give engineering teams the best tools for debugging flaky tests and intermittent pipeline failures in a cloud environment?
Most cited sources4
- B10
Best CI/CD Tools for 2026: What the Data Actually Shows | The TeamCity Blog
blog.jetbrains.com·Blog Post
- J2
What is YAML? | TeamCity CI/CD Guide - JetBrains
jetbrains.com·Faq
- B1
Is Your CI/CD Tool Helping or Hindering Performance? | The TeamCity Blog
blog.jetbrains.com·Blog Post
- J1
TeamCity
jetbrains.com·Product Page
Alternatives in CI/CD & Build Systems6
TeamCity positions itself as an enterprise-grade, 'hassle-free' CI/CD platform that provides deep out-of-the-box functionality without the 'plugin hell' associated with Jenkins.
- It differentiates from cloud-native tools like GitHub Actions and CircleCI through robust on-premises and hybrid deployment options, and from GitLab CI/CD through its standalone, VCS-agnostic architecture.
- Its native integration with the full JetBrains IDE ecosystem (IntelliJ IDEA, Rider, PyCharm, etc.) creates strong retention for teams already invested in JetBrains tooling, while its Kotlin DSL and visual pipeline editor appeal to both power users and newcomers.
Reviews
Praised
- Deep JetBrains IDE ecosystem integration
- Powerful Kotlin DSL for pipeline-as-code
- Comprehensive out-of-the-box CI/CD features without plugin overhead
- Build chain visualization and dependency management
- Test intelligence and flaky test detection
- Reliable performance and stability at enterprise scale
- Flexible on-premises, cloud, and hybrid deployment options
- Pre-tested commits and personal build validation
Criticized
- Steep learning curve for initial setup and configuration
- High memory footprint due to JVM runtime
- UI inconsistencies between legacy and new Pipelines interface
- Slow or inadequate communication of critical security vulnerabilities
- Occasional build agent instability requiring manual restarts
- Complexity and cost scaling of additional build agents
Users consistently praise TeamCity's comprehensive out-of-the-box feature set, Kotlin DSL power, build chain visualization, deep JetBrains IDE integration, and reliability at enterprise scale. Test history tracking, pre-tested commits, and customizable build configurations are frequently highlighted strengths. Common criticisms include a steep initial learning curve, high memory consumption from the JVM runtime, UI inconsistencies between legacy and new interfaces, and concerns over the communication timeline for critical security vulnerabilities. Overall aggregate scores are positive across G2 and Gartner Peer Insights.
Pricing
TeamCity has three tiers. The Professional (On-Premises) edition is free, with up to 100 build configurations and 3 build agents, unlimited users, and access to all features. The Enterprise (On-Premises) edition starts at approximately $2,399/year for the server with 3 included agents, plus $359/year per additional agent; licenses are perpetual with an annual subscription for updates. TeamCity Cloud starts at $45/month for 3 committers, with 8,000 build credits per committer included. As of November 3, 2025, new on-premises licenses no longer qualify for the legacy 50% renewal discount. Open-source projects may apply for complimentary licenses.
Limitations
- TeamCity has a notable learning curve for initial setup and pipeline configuration, particularly for users unfamiliar with its project hierarchy and build chain model.
- As a JVM-based server application, it carries a comparatively high memory footprint.
- Users have reported UI inconsistencies between the legacy administration interface and the newer Pipelines/modern UI experience.
- Parallel run support at the project level has been flagged as limited by some reviewers.
- Critical authentication bypass vulnerabilities (CVE-2024-27198 and CVE-2024-27199, CVSS 9.8) were reported to have been exploited before patching and communicated inadequately.
- Occasional build agent instability requiring manual restarts has also been noted.
Frequently asked questions
Topic coverageCoverage by buyer topic
Topic Coverage
Prompt-Level Results
| Prompt | Gemini Search | Google AI Mode | Perplexity | Bing Copilot | ChatGPT | Grok |
|---|---|---|---|---|---|---|
Capability1/5 cited (20%) | ||||||
Which CI/CD platforms have the best native support for running iOS and Android mobile builds without needing self-hosted runners? | ||||||
Which build systems enforce consistent dependency versions and prevent supply chain issues at the build stage? | ||||||
Which CI/CD platforms support multi-cloud and hybrid deployment targets without tying you to a single cloud provider? | ||||||
Which enterprise build systems handle dynamic pipeline generation best — generating jobs based on which packages changed in a monorepo? | ||||||
Which CI platforms support GPU-dependent ML training jobs in a build pipeline without requiring self-hosted runners? | ||||||
Developer Experience3/5 cited (60%) | ||||||
Which YAML-based CI systems have the lowest learning curve for developers new to pipeline-as-code? | ||||||
Which build systems handle incremental builds and caching best for large TypeScript monorepos to avoid rebuilding unchanged packages? | ||||||
What CI platforms give engineering teams the best tools for debugging flaky tests and intermittent pipeline failures in a cloud environment? | ||||||
What tools help teams manage secrets and environment variables safely across many CI/CD pipelines without duplicating configuration? | ||||||
Which CI tools let developers run the exact same pipeline definitions locally for a tight local feedback loop before pushing? | ||||||
Integrations & Ecosystem1/5 cited (20%) | ||||||
What security scanning and SAST tools integrate best into an existing build pipeline without significantly increasing build times? | ||||||
Which CI/CD platforms have the best integrations for sending build failure notifications to project management tools and chat platforms? | ||||||
Which build systems integrate best with artifact registries and container image repositories for versioning and promotion across environments? | ||||||
Which CI providers make pipeline migration easiest — are there any portable pipeline standards that reduce lock-in when switching? | ||||||
Which CI/CD platforms have the deepest native integrations with container orchestration clusters and serverless deployment targets? | ||||||
Performance & Reliability2/5 cited (40%) | ||||||
Which CI platforms scale best to handle hundreds of concurrent pipelines during peak hours without queueing delays? | ||||||
Which managed CI/CD providers offer the strongest SLAs and uptime track record for teams evaluating reliability before committing? | ||||||
What tools or approaches let you benchmark build execution speed across different CI platforms for the same test suite? | ||||||
Which build tools offer remote caching for large polyglot monorepos — and what kind of build time reduction is realistic? | ||||||
Which CI platforms or techniques reduce pipeline cold-start times most effectively when using ephemeral containerized runners? | ||||||
Setup & First Run2/5 cited (40%) | ||||||
Which modern cloud-native CI platforms make it easiest to migrate from a self-hosted build setup without breaking existing workflows? | ||||||
Which managed CI platforms have the smoothest onboarding experience when migrating a team of 30 engineers from a self-hosted system? | ||||||
I'm evaluating fully managed CI/CD services versus self-hosted build systems for a startup — what are the key trade-offs and what should I look at? | ||||||
Which CI platforms make it easiest to configure parallel test execution for a Node.js project from scratch? | ||||||
What's the fastest CI/CD platform to set up for a monorepo with 15 microservices? | ||||||
Turn this matrix into daily prompt monitoring.
Track prompt changesVertical Ranking
| # | Brand | PresencePres. | Share of VoiceSoV | DocsDocs | BlogBlog | MentionsMent. | Avg PosPos | Sentiment |
|---|---|---|---|---|---|---|---|---|
| 1 | GitHub | 13.3% | 15.3% | 5.3% | 0.0% | 13.3% | #11.7 | +0.36 |
| 2 | CircleCI | 12.7% | 19.0% | 2.7% | 8.0% | 12.0% | #6.7 | +0.45 |
| 3 | Harness | 10.7% | 10.6% | 0.0% | 6.0% | 10.7% | #11.0 | +0.36 |
| 4 | Buildkite | 10.0% | 15.3% | 4.7% | 0.0% | 8.7% | #8.7 | +0.55 |
| 5 | GitLab | 10.0% | 15.3% | 5.3% | 2.7% | 9.3% | #11.0 | +0.29 |
| 6 | TeamCity | 6.7% | 5.1% | 0.0% | 6.0% | 6.7% | #6.6 | +0.37 |
| 7 | Earthly | 3.3% | 5.6% | 2.0% | 2.7% | 3.3% | #7.8 | +0.52 |
| 8 | Semaphore | 3.3% | 2.8% | 0.0% | 1.3% | 3.3% | #9.2 | +0.52 |
| 9 | Nx | 3.3% | 2.8% | 2.0% | 0.0% | 3.3% | #12.7 | +0.42 |
| 10 | Jenkins | 2.7% | 2.3% | 0.0% | 0.7% | 2.7% | #18.6 | +0.20 |
| 11 | Dagger | 1.3% | 3.2% | 0.7% | 0.7% | 1.3% | #10.9 | +0.75 |
| 12 | Turborepo | 1.3% | 0.9% | 0.0% | 0.0% | 1.3% | #18.0 | +0.10 |
| 13 | Azure Pipelines | 0.7% | 0.5% | 0.0% | 0.0% | 0.7% | #3.0 | +0.40 |
| 14 | CloudBees | 0.7% | 0.9% | 0.0% | 0.7% | 0.7% | #7.0 | +0.00 |
| 15 | Depot | 0.7% | 0.5% | 0.0% | 0.7% | 0.7% | #14.0 | +0.10 |
| 16 | Travis CI | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | — | — |
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