Data as of Sep 3, 2026 · Based on 16 AI responses · Shares cover the last 30 days · See how Parse measures this
AI Code Review Tools
ParseChatGPT + Google AIParse
https://parse.gl
Measured across ChatGPT & Google AI
| # | 7d | 30d | Brand | What AI says | Mention rate |
|---|---|---|---|---|---|
| 1 | CodeRabbit AITop choice for line-by-line feedback and PR summaries on GitHub and | Top choice for line-by-line feedback and PR summaries on GitHub and | 88% | ||
| 2 | +6 |  QodoEnterprise-focused tool providing context-aware reviews beyond simple diff analysis. | Enterprise-focused tool providing context-aware reviews beyond simple diff analysis. | 56% | |
| 3 | +2 | +4 | PR-Agent | 44% | |
| 4 | -1 | +13 | reviewdog | 44% | |
| 5 | +1 | +1 |  SonarQube⌐ Sonarsource | 44% | |
| 6 | -2 | -4 | GitHub Copilot⌐ GitHubThe native GitHub solution for PR summaries and integrated code suggestions. | The native GitHub solution for PR summaries and integrated code suggestions. | 38% |
| 7 | +1 | +3 | GitHub Actions⌐ GitHub | 38% | |
| 8 | +1 | -3 |  Semgrep | 31% | |
| 9 | -2 | +3 |  ESLint | 31% | |
| 10 | +5 | +11 | SonarCloud⌐ Sonarsource | 19% | |
| 11 | -7 |  CodeQL⌐ GitHub | 19% | ||
| 12 | +2 |  GreptileAnalyzes the entire codebase for deep context, not just PR diffs. | Analyzes the entire codebase for deep context, not just PR diffs. | 13% | |
| 13 | +9 | 13% | |||
| 14 | -4 | +19 | 13% | ||
| 15 | +13 | +5 | GitHubThe core platform, frequently cited with its native review and CI/CD tools. | The core platform, frequently cited with its native review and CI/CD tools. | 13% |
| 16 | -3 | -1 | 13% | ||
| 17 | +13 |  golangci-lint | 13% | ||
| 18 | -6 | -5 |  Ruff⌐ Astral | 13% | |
| 19 | -16 |  DeepSource | 6% | ||
| 20 |  CodeScene | 6% | |||
| 21 | -3 | +1 |  gitStream⌐ LinearB | 6% | |
| 22 |  Flake8⌐ Pycqa | 6% | |||
| 23 | -3 | +8 |  pytest | 6% | |
| 24 | -3 |  Snyk Code⌐ Snyk | 6% | ||
| 25 | -9 |  RuboCop | 6% |
Combined, the GitHub family would rank #1 (up to 119%).
Who wins on each AI
The same market, seen by two models.
Sources AI cited
github.com is the page AI reaches for most here, cited in 56% of analyzed answers.
Rose from a 50% mention rate in October 2025 to 81% in March 2026.
Emerged after November 2025 to become the #4 most-cited tool by March 2026.
“A traditional static analysis tool” → “A foundational quality gate that complements modern AI reviewers”
Dropped from rank #6 to #11 as responses began citing specific tools over the underlying model.
| Brand | ChatGPT Search | Google AI Mode | Comparison |
|---|---|---|---|
| CodeRabbit AI | 86% | 89% | |
| Qodo | 52% | 66% | |
| GitHub Copilot | 78% | 23% | |
| SonarQube | 67% | 25% | |
| Greptile | 30% | 27% |
The two models disagree most about reviewdog (ChatGPT #7, Google #22) and GitHub (ChatGPT #21, Google #8).
Across 16 AI responses, CodeRabbit AI is mentioned most, named in 88% of them, followed by Qodo (56%) and PR-Agent (44%).
Parse measures each brand's mention rate — the share of answers naming it — across 16 AI responses to this market's buyer questions over the last 30 days. Answers are collected daily and the ranking is re-measured on the same 30-day window.
Brands enter the ranking when AI answers mention them. Parse collects answers daily and publishes the re-measured set weekly, so new brands appear as AI starts recommending them.
CodeRabbit AIGitHubGitHub CopilotAI assistants consistently name 
We use a Git repository. Who offers an AI code reviewer that comments directly on Pull Requests?
AI assistants consistently name
CodeRabbit AIGitHubGitHub Copilot
Brands mentioned
CodeRabbit AIGitHubGitHub CopilotQodoGitHubBrands mentioned
CodeRabbit AIGitHubGitHub Copilot
The market map
Recommended by need
