AI visibility report
Greptile ranks #4 in AI Code Review & Code Quality AI search.
Outside the top three on 15 of the 25 prompts buyers actually ask.
Sourcegraph is cited on 9 of those losses.
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Start free trial#4 among 11 vendors · still absent from 90% of tracked prompt responses
Top-3 citations across 150 prompt × platform pairs
Peer Ranking
Key Metrics
Platform Breakdown
Google AI Mode
ChatGPT
Perplexity
Bing Copilot
Gemini Search
GrokNarrower footprint, stronger tone. Greptile ranks #4 on presence but #1 on sentiment. That means the brand is framed well when it appears, but still needs broader prompt-response coverage.
Where Greptile is losing
Prompts where competitors are visible and Greptile is not.
These prompt-level losses are the first prompts to track and repair.
Where Greptile is winning3
I'm evaluating AI pull request review tools for a Python and TypeScript codebase — which ones require the least configuration to get useful feedback from day one?
Avg # 3.0 · 1 platform
Looking for an AI PR review tool that learns from the codebase and past review decisions so feedback improves over time — what are my options?
Avg # 3.5 · 2 platforms
Which AI PR review tools can summarize large diffs and give an overall assessment of a pull request rather than only commenting line by line?
Avg # 4.5 · 2 platforms
Where Greptile is losing5
I need a code quality tool that enforces quality gates in CI and blocks merges when coverage drops or critical issues are introduced — which platforms do this well?
Competitors on 3 platforms
Track this promptWhat code analysis platforms have reliable CI integrations that don't cause flaky build failures due to rate limiting or API timeouts?
Competitors on 3 platforms
Track this promptWhat code quality platforms scale to thousands of PRs per day without degrading analysis quality or response time?
Competitors on 3 platforms
Track this promptWhich AI code review tools can detect security vulnerabilities and insecure coding patterns across multiple languages in the same repository?
Competitors on 2 platforms
Track this promptWhat AI code review tools can analyze infrastructure-as-code files alongside application code for a full-stack security posture review?
Competitors on 2 platforms
Track this prompt
Track Greptile daily before the next report refresh.
Track these gapsResearch dossierCapabilities, use cases, sources, reviews, pricing, and FAQ
Overview
Greptile is an AI code review agent built by Tabnam, Inc., founded in San Francisco in 2023 by Daksh Gupta, Soohoon Choi, and Vaishant Kameshwaran after completing Y Combinator's Winter 2024 cohort. Unlike traditional linters or diff-only reviewers, Greptile constructs a graph index of the entire repository—mapping every file, function, class, and dependency—then deploys a swarm of parallel AI agents to analyze each pull request in the context of the whole codebase. Reviews are posted as inline PR comments in approximately three minutes. The platform learns team preferences from PR reactions and comments over time, reducing noise while enforcing custom coding standards. It supports GitHub and GitLab, offers cloud SaaS and self-hosted (including air-gapped) deployment, and carries SOC 2 Type II certification. Over 9,000 teams are reported as users, including Brex, Zapier, PostHog, and Retool.
Greptile is an AI-native code review agent that integrates with GitHub and GitLab to automatically review every pull request using full codebase context. It builds a language-agnostic dependency graph of the entire repository, runs a swarm of parallel agents to assess cross-file impact, posts findings in ~3 minutes, and learns team coding standards over time to reduce noise and enforce custom rules. Enterprise and self-hosted deployments support air-gapped environments and bring-your-own-LLM configurations.
Key Facts
- Founded
- 2023
- HQ
- San Francisco, CA
- Founders
- Daksh Gupta, Soohoon Choi, Vaishant Kameshwaran
- Funding
- $29.1M
- Customers
- 9,000+ teams (self-reported)
- Valuation
- ~$180M (Series A, 2025)
- Status
- Private
Target users
Key Capabilities10
- Full-codebase graph indexing (functions, classes, dependencies) vs. diff-only analysis
- Automated PR review in ~3 minutes via parallel agent swarm
- Multi-file and cross-repository bug and logic-error detection
- Custom rules enforcement written in plain English
- Learning system that adapts from team PR comments and emoji reactions over time
- Mermaid sequence diagrams and confidence scores per PR
- One-click 'Fix with Agent' routing to Claude Code, Cursor, Devin, Codex
- MCP server for AI agent and IDE integration
- TREX autonomous test generation for every PR (early access)
- Self-hosted / air-gapped deployment with bring-your-own-LLM; SOC 2 Type II certified
Key Use Cases7
- Automated pull request review for engineering teams on GitHub or GitLab
- Bug and logic-error detection in large or legacy monorepos
- Enforcing team coding standards and best practices at scale
- Validation layer for AI-generated code from agents like Devin or Cursor
- Security and edge-case detection (sandbox escapes, retry amplification, data leaks)
- Enterprise code review with compliance requirements (air-gapped, SOC 2)
- Reducing senior-engineer review burden on routine pull requests
Greptile customer outcomes
2,576 issues caught per month; 30% faster shipping
Greptile reviews 100% of code across Brex's 8-year-old monorepo with 400+ engineers. The CTO credited Greptile with outperforming all previously evaluated code review tools and enabling faster merges on straightforward changes while flagging high-risk ones.
Recent Trend
How AI describes Greptile3
Greptile (Best for Deep Codebase Context) Many basic AI tools only look at the Git diff in isolation, which means they miss how changes impact the rest of the application.
What AI code review platforms are popular with engineering leads who want to spend less time on repetitive PR feedback and more on architectural comments?
### Greptile * How it works: Greptile indexes your entire repository upfront to build a comprehensive code graph.
Which AI code review tools give feedback that engineers actually find useful — not just style nitpicks but real logic and security issues?
Greptile (Codebase Graph + Comment Ingestion) ------------------------------------------------- Greptile is built for large, complex codebases where understanding the broad system architecture is critical to making a good review decision.
Looking for an AI PR review tool that learns from the codebase and past review decisions so feedback improves over time — what are my options?
Most cited sources6
17AI Code Review | Greptile | Merge 4X Faster, Catch 3X More Bugs
greptile.com·Listicle
- 11
How AI Code Review Works (And the 5 Best Tools for It) | Greptile
greptile.com·Listicle
- 7
AI Code Review Benchmarks 2025 | Greptile
greptile.com·Listicle
- 2
AI Code Review Bot | Greptile
greptile.com·Listicle
- 2
7 Best AI Code Review Tools for GitHub Teams (2026 Comparison)
greptile.com·Listicle
- 1
AI Code Reviews: The Ultimate Guide | Greptile
greptile.com·Listicle
Alternatives in AI Code Review & Code Quality6
Greptile differentiates on full-codebase graph context rather than diff-only analysis, positioning itself as the 'central validation layer' for all code changes—including AI-generated code.
- At $30/seat/month it is priced higher than pure-play rivals such as CodeRabbit ($12–15/seat), but targets teams that need deeper, cross-file bug detection in large or legacy codebases.
- Its bring-your-own-LLM self-hosting option and SOC 2 Type II compliance give it a foothold in regulated industries (fintech, healthcare, defense) that cannot send source code to third-party clouds.
- The MCP server and one-click IDE fix integrations (Claude Code, Cursor, Devin, Codex) position Greptile as an orchestration hub rather than a standalone linter, competing with Sourcegraph on codebase intelligence and with CodeRabbit/Qodo on automated PR review.
Reviews
Praised
- Full codebase context catches bugs diff-only tools miss
- Senior-level, non-noisy review comments
- Fast setup (5 minutes to first review)
- Adapts to team standards over time
- Useful for large and legacy monorepos
- Mermaid diagrams and confidence scores aid triage
- One-click fix integration with IDEs and coding agents
Criticized
- Higher price point than alternatives like CodeRabbit
- No free tier; discounts require eligibility review
- Struggles with very large or poorly documented repos
- Platform dependent on GitHub/GitLab; no Bitbucket support documented
- Founder's publicized 'no work-life balance' culture drew scrutiny
No verified third-party review platform scores (e.g., G2, Gartner Peer Insights) with sufficient published reviews were found for Greptile as of the research date. Named customer testimonials on Greptile's own site are consistently positive, highlighting context-aware feedback quality and senior-level suggestions as standout attributes. Developer community discussion on Hacker News and Slashdot emphasizes Greptile's strength in understanding complex, multi-repo codebases and finding deeply buried issues via semantic search, though the demanding internal work culture has drawn public scrutiny.
Pricing
Cloud plan: $30/seat/month, with 50 code reviews included per seat and $1 per additional review. Unlimited repositories and users. Enterprise plan: custom pricing with self-hosting, SSO/SAML, custom DPA, dedicated Slack support, forward-deployed engineers, GitHub Enterprise support, and bring-your-own-LLM capability. Discounts are available for qualified open-source projects and pre-Series A startups. Annual and multi-year contract discounts available on request. Free trial offered; no credit card required to start.
Limitations
- At $30/seat/month, Greptile is priced higher than direct competitors such as CodeRabbit ($12–15/seat).
- There is no free tier; discounts require application (open-source projects, pre-Series A startups).
- The platform is dependent entirely on GitHub and GitLab marketplaces for distribution, creating platform concentration risk.
- Third-party reporting notes the tool can face challenges processing particularly large or poorly documented repositories.
- Self-hosting requires enterprise contract negotiation and customer-managed infrastructure.
- No Bitbucket or Azure DevOps integration is publicly documented.
Frequently asked questions
Topic coverageCoverage by buyer topic
Topic Coverage
Prompt-Level Results
| Prompt | Google AI Mode | Bing Copilot | Perplexity | ChatGPT | Gemini Search | Grok |
|---|---|---|---|---|---|---|
Capability3/5 cited (60%) | ||||||
I need a code quality tool that enforces quality gates in CI and blocks merges when coverage drops or critical issues are introduced — which platforms do this well? | ||||||
Which AI code review tools can detect security vulnerabilities and insecure coding patterns across multiple languages in the same repository? | ||||||
What AI code review tools can analyze infrastructure-as-code files alongside application code for a full-stack security posture review? | ||||||
What code quality platforms track technical debt trends over time and show whether the team is paying it down or accumulating more? | ||||||
Which AI PR review tools can summarize large diffs and give an overall assessment of a pull request rather than only commenting line by line? | ||||||
Developer Experience3/5 cited (60%) | ||||||
Looking for an AI PR review tool that learns from the codebase and past review decisions so feedback improves over time — what are my options? | ||||||
What AI code review platforms are popular with engineering leads who want to spend less time on repetitive PR feedback and more on architectural comments? | ||||||
Which code quality tools let teams define custom rules and guardrails specific to their architecture so the tool enforces their own conventions? | ||||||
Which AI code review tools give feedback that engineers actually find useful — not just style nitpicks but real logic and security issues? | ||||||
What code quality platforms have the lowest false positive rate so developers don't spend time dismissing irrelevant warnings? | ||||||
Integrations & Ecosystem0/5 cited (0%) | ||||||
What code review tools work across both cloud-hosted and on-premises version control systems for teams with a hybrid repository strategy? | ||||||
Which AI PR review platforms support self-hosted deployments that keep code on-premises and don't send source code to third-party models? | ||||||
Which code quality platforms integrate with issue trackers to automatically create tickets for critical issues found during code review? | ||||||
Looking for a code quality tool that feeds results into a security dashboard for CISO-level reporting — which platforms have strong SIEM and security integrations? | ||||||
What AI code review tools integrate with IDE plugins so developers get the same automated feedback locally before pushing a pull request? | ||||||
Performance & Reliability1/5 cited (20%) | ||||||
What code analysis platforms have reliable CI integrations that don't cause flaky build failures due to rate limiting or API timeouts? | ||||||
Which AI code review tools complete their analysis fast enough to not delay a PR workflow — which ones consistently finish within 2 minutes? | ||||||
Which AI code review tools maintain consistent review quality across a polyglot repository with Go, Python, and TypeScript services? | ||||||
Which AI review tools handle very large pull requests with 500+ changed files without timing out or producing incomplete feedback? | ||||||
What code quality platforms scale to thousands of PRs per day without degrading analysis quality or response time? | ||||||
Setup & First Run2/5 cited (40%) | ||||||
Which code quality platforms can analyze a 500k-line legacy codebase and give a prioritized technical debt report without manual configuration? | ||||||
I'm evaluating AI pull request review tools for a Python and TypeScript codebase — which ones require the least configuration to get useful feedback from day one? | ||||||
What AI code review tools have the smoothest version control platform integration so reviews appear inline on diffs automatically on every PR? | ||||||
Which AI code review tools can be added to a pull request workflow in under 30 minutes with no changes to existing CI pipelines? | ||||||
What are the best automated code quality tools for a team of 15 engineers that wants to enforce standards without a dedicated security engineer? | ||||||
Turn this matrix into daily prompt monitoring.
Track prompt changesVertical Ranking
| # | Brand | PresencePres. | Share of VoiceSoV | DocsDocs | BlogBlog | MentionsMent. | Avg PosPos | Sentiment |
|---|---|---|---|---|---|---|---|---|
| 1 | Qodo | 14.0% | 18.3% | 0.7% | 8.0% | 12.7% | #8.9 | +0.42 |
| 2 | CodeRabbit | 11.3% | 13.1% | 4.0% | 1.3% | 9.3% | #9.1 | +0.39 |
| 3 | SonarSource | 10.7% | 14.7% | 1.3% | 1.3% | 8.7% | #8.3 | +0.39 |
| 4 | Greptile | 10.0% | 11.5% | 0.0% | 0.0% | 8.7% | #7.8 | +0.49 |
| 5 | Sourcegraph | 8.7% | 8.4% | 0.0% | 8.7% | 8.7% | #3.8 | +0.38 |
| 6 | Graphite | 8.0% | 8.9% | 0.0% | 7.3% | 6.0% | #6.6 | +0.47 |
| 7 | Snyk | 6.7% | 7.9% | 0.7% | 0.0% | 6.0% | #10.9 | +0.40 |
| 8 | DeepSource | 4.7% | 4.7% | 0.0% | 0.7% | 4.0% | #7.9 | +0.36 |
| 9 | Codacy | 4.0% | 6.3% | 0.7% | 0.7% | 4.0% | #8.7 | +0.10 |
| 10 | Semgrep | 3.3% | 3.1% | 0.7% | 0.0% | 3.3% | #18.5 | +0.48 |
| 11 | Code Climate | 1.3% | 3.1% | 0.0% | 0.7% | 0.7% | #6.7 | +0.45 |
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