
AI visibility report
AI visibility report for OpenAI (Codex CLI / Codex) in Autonomous Coding Agents.
Outside the top three on 12 of the 25 prompts buyers actually ask.
Augment Code is cited on 6 of those losses.
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Track OpenAI (Codex CLI / Codex) across these prompts daily.
Start free trialStill absent from 96.8% of tracked prompt responses
Top-3 citations across 125 prompt × platform pairs
Peer Ranking
Key Metrics
Platform Breakdown
How to read this. OpenAI (Codex CLI / Codex) appears in 3.2% of tracked prompt responses. Presence is absolute coverage; share of voice is relative citation share; sentiment measures tone only when the brand appears.
Where OpenAI (Codex CLI / Codex) is losing
Prompts where competitors are visible and OpenAI (Codex CLI / Codex) is not.
These prompt-level losses are the first prompts to track and repair.
Where OpenAI (Codex CLI / Codex) is winning2
Which agentic CLI tools work out of the box on popular operating systems without requiring a container sandbox just to get started?
Avg # 1.0 · 1 platform
I'm evaluating autonomous coding agents for a 10-person startup — which ones can a new engineer get productive with in under an hour?
Avg # 2.0 · 1 platform
Where OpenAI (Codex CLI / Codex) is losing5
Which AI coding agents handle context window limitations most gracefully when working across dozens of files in an enterprise codebase?
Competitors on 3 platforms
Track this promptWhat AI coding agents support bring-your-own LLM provider so a platform team can route through an existing enterprise model contract?
Competitors on 3 platforms
Track this promptWhat agentic coding tools handle long-running tasks reliably — resuming after an interruption rather than starting over from scratch?
Competitors on 2 platforms
Track this promptWhich cloud coding agents integrate with CI pipelines to automatically attempt fixes when a build or test suite fails?
Competitors on 1 platform
Track this promptWhat autonomous coding agents run tasks inside a secure sandbox so a compromised prompt can't affect the host filesystem?
Competitors on 1 platform
Track this prompt
Track OpenAI (Codex CLI / Codex) daily before the next report refresh.
Track these gapsResearch dossierCapabilities, use cases, sources, reviews, pricing, and FAQ
Overview
OpenAI Codex is an autonomous coding agent platform from OpenAI, available as an open-source CLI, VS Code IDE extension, cloud-based web agent, macOS/Windows desktop app, and iOS app. Launched in its current agentic form in April–May 2025, it runs on GPT-5.5-family models fine-tuned for software engineering via reinforcement learning on real coding tasks. Codex accepts natural-language task descriptions, clones repositories into isolated sandboxes, writes multi-file code changes, runs tests, iterates on failures, and opens pull requests. It supports parallel agent execution, automated PR code review, GitHub/Slack/Linear integrations, and a 90+ plugin marketplace built on the Model Context Protocol. Access is bundled with ChatGPT plans (Free through Enterprise) with no separate subscription required. As of mid-2026, Codex serves approximately 4 million weekly active developers and the open-source CLI repository has surpassed 82,500 GitHub stars.
OpenAI Codex is a multi-surface autonomous coding agent that accepts natural-language engineering tasks, executes them in isolated cloud sandboxes, and delivers diffs and pull requests—available as an open-source CLI, VS Code extension, web app, and desktop app, all powered by OpenAI's GPT-5.5 model family and bundled with ChatGPT subscriptions.
Key Facts
- Founded
- 2015
- HQ
- San Francisco, CA, USA
- Founders
- Sam Altman, Greg Brockman, Ilya Sutskever +3 more
- Employees
- 2000+
- Funding
- ~$186B total raised
- ARR
- ~$24B
- Customers
- 4M+ weekly active Codex developers; 900M
- Valuation
- $852B
- Status
- Private (PBC; confidential IPO filing June 2026)
Target users
Key Capabilities10
- Autonomous multi-file code generation, editing, and PR creation from plain-English task descriptions
- Isolated, network-sandboxed execution environments with full repository cloning and test running
- Parallel agent execution across multiple projects simultaneously
- Automated PR code review with inline comment handling and diff inspection
- GitHub, Slack, and Linear native integrations for end-to-end engineering workflow automation
- Model Context Protocol (MCP) support with 90+ plugin marketplace integrations
- Multi-surface availability: CLI (open-source), VS Code IDE extension, web app, macOS/Windows desktop app, iOS
- Scheduled automations and reusable skill workflows for recurring engineering tasks
- Codex Security plugin for autonomous vulnerability scanning and fix proposal
- Long-horizon autonomous task execution sustained over multi-hour sessions
Key Use Cases8
- Autonomous feature implementation with PR output from a natural-language specification
- Bug fixing and debugging across large multi-file codebases
- Automated code review for 100% of pull requests in CI/CD pipelines
- Batch maintenance task execution (dependency updates, migrations, refactors) run in parallel
- Codebase exploration and onboarding into unfamiliar repositories
- Test generation and iterative test-failure resolution
- Legacy code modernization and technical debt reduction
- Security vulnerability scanning, triage, and automated fix proposal
OpenAI (Codex CLI / Codex) customer outcomes
Kodiak uses Codex to write debugging tools, improve test coverage, and refactor code—accelerating development of the Kodiak Driver, their autonomous driving technology. Codex also functions as a reference tool helping engineers surface relevant context and understand unfamiliar p
100% of internal PRs reviewed by Codex
OpenAI uses Codex to review 100% of its own internal pull requests, with Codex either running automatically on every PR or being invoked reactively via @Codex mention in GitHub.
Recent Trend
How AI describes OpenAI (Codex CLI / Codex)
No concise AI response excerpt is available for this brand yet.
Most cited sources6
- D1
CLI – Codex | OpenAI Developers
developers.openai.com·Documentation
- G1
Loss of Intermediate Steps on Interrupt in VS Extension
github.com·Discussion
1Introducing Codex | OpenAI
openai.com·Blog Post
1Codex | AI Coding Partner from OpenAI | OpenAI
openai.com·Product Page
1Introducing the Codex app | OpenAI
openai.com·Product Page
1Codex | AI Coding Partner from OpenAI | OpenAI
openai.com·Product Page
Alternatives in Autonomous Coding Agents6
OpenAI Codex is positioned as the most capable autonomous coding agent in the market, backed by frontier GPT-5.5-family models specifically fine-tuned for software engineering.
- Its primary differentiator is deep integration with the ChatGPT subscription ecosystem—giving it unmatched consumer distribution versus standalone tools like Aider or Cline.
- Codex offers a cross-surface architecture (CLI, IDE, web, desktop, iOS) with a 90+ plugin marketplace built on MCP, network-isolated sandboxed execution, and GitHub/Slack/Linear first-party integrations unavailable to many competitors.
- OpenAI cites GPT-5-Codex hitting 85.5% autonomous task completion on SWE-bench versus 74% for Cursor and 54% for GitHub Copilot, reinforcing a benchmark-led messaging strategy.
- The $100/month Pro 5x tier was launched as a direct response to Anthropic Claude Code's pricing at the same level, signaling deliberate head-to-head positioning in the heavy-developer segment.
- AAugment Code#19
- AAnthropic (Claude Code)#23
- Block (Goose)#33

- CCursor (Anysphere)#62
- Factory (Droid)#52

- WWarp#72
Reviews
Praised
- Context-aware reasoning across multiple files and project architecture
- Speed and execution quality for prototyping and implementation
- Parallel multi-agent execution across projects
- Seamless integration with ChatGPT plans and IDE workflows
- Strong debugging, refactoring, and codebase explanation capabilities
- MCP plugin connections for external tools and workflows
- GPT-5.5 model reliability for complex coding tasks
Criticized
- Rate limits hit too quickly on Plus and lower plans
- UI too similar to standard ChatGPT interface
- Hallucinations on complex or ambiguous tasks
- Git required for code change undo functionality
- Lacks transparency about internal reasoning and model selection
- Struggles with highly abstract or architectural decision-making
- EU geo-restrictions on computer use and some agentic features
On G2, Codex holds a 4.7/5 rating across 9 reviews as of mid-2026. Reviewers consistently praise the platform's ability to reason across multiple files and project contexts, its speed in turning rough ideas into working implementations, and the quality of its debugging and codebase explanation capabilities. Enterprise and mid-market users value the multi-agent parallel execution and MCP integrations for PM and coordination workflows. The most common criticism is that usage limits—especially on the Plus plan—are reached too quickly during longer agentic sessions, interrupting workflows at critical moments. Other noted drawbacks include the UI's similarity to standard ChatGPT (perceived as limiting for a coding-specific tool), hallucinations on complex tasks, and the requirement for Git to enable code change rollback.
Pricing
Codex is bundled with all ChatGPT plans and requires no separate subscription. Free ($0/mo): limited Codex access for occasional tasks. Go ($8/mo): lightweight coding tasks. Plus ($20/mo): 30–150 GPT-5.5 messages per 5-hour rolling window, full CLI/IDE/web/iOS access. Pro 5x ($100/mo): 5× Plus limits, plus research-preview Codex-Spark model. Pro 20x ($200/mo): 20× Plus limits for heavy parallel workloads. Business ($25/user/month billed annually or $30/month): pay-as-you-go seats, GitHub/Slack/Linear integrations, admin controls, no training on business data. Enterprise (custom): SCIM, EKM, RBAC, audit logs, shared credit pools, no fixed rate limits. API-key access (separate from subscriptions) is billed per token: gpt-5.3-codex costs $1.75/M input tokens and $14.00/M output tokens. A typical coding session runs $0.50–$2.00 at API rates. Plus and Pro subscribers who exceed limits can purchase additional credits.
Limitations
- Usage limits are reached quickly on lower-tier plans (Plus and below), especially during longer agentic sessions, and limits are governed by a rolling 5-hour window rather than a daily cap.
- The Codex desktop app was initially macOS-only, with Windows support added later and Linux still limited to CLI/IDE.
- Cloud-based computer-use features (browser interaction, screen reading) face geo-restrictions in the EU.
- Codex is tightly coupled to OpenAI's own GPT-5 family models with no support for third-party or self-hosted models.
- Code change undo functionality requires Git; projects without Git lose rollback capability.
- The tool occasionally struggles with highly abstract architectural decisions and can require additional guidance for ambiguous or complex requirements.
- API-key users lose access to cloud features including GitHub code review, Slack integration, and background agent execution.
- Some users report the UI feels too similar to standard ChatGPT and that internal reasoning is not shown by default, reducing oversight visibility.
Frequently asked questions
Topic coverageCoverage by buyer topic
Topic Coverage
Prompt-Level Results
| Prompt | |||||
|---|---|---|---|---|---|
Capability1/5 cited (20%) | |||||
What AI coding agents handle multi-repo tasks well — making coordinated changes across a frontend and backend repo in a single session? | |||||
Which autonomous coding agents can reliably write and run tests, interpret failures, and self-correct without human intervention? | |||||
I'm looking for an agentic CLI that supports tool use like web search and shell execution during a coding task — what are my options? | |||||
What autonomous coding tools handle legacy codebases in dynamically typed languages best — Python 2 or older PHP specifically? | |||||
Which cloud coding agents are best for generating and merging pull requests asynchronously without a developer staying in the loop? | |||||
Developer Experience0/5 cited (0%) | |||||
Which autonomous coding agents give the best real-time feedback loop when running multi-step tasks so developers stay in control? | |||||
Which agentic IDEs have the smoothest experience for reviewing and approving AI-generated changes before they touch the main branch? | |||||
What AI coding agents do senior engineers prefer for refactoring large codebases without babysitting every intermediate step? | |||||
Which AI coding agents handle context window limitations most gracefully when working across dozens of files in an enterprise codebase? | |||||
What autonomous coding tools are best suited for a solo developer who wants to delegate routine feature work and focus on architecture? | |||||
Integrations & Ecosystem0/5 cited (0%) | |||||
Which cloud coding agents integrate with CI pipelines to automatically attempt fixes when a build or test suite fails? | |||||
Which autonomous coding agents integrate natively with popular code editors so devs can trigger agent tasks without leaving their IDE? | |||||
What AI coding agents support bring-your-own LLM provider so a platform team can route through an existing enterprise model contract? | |||||
Which agentic coding platforms integrate with project management tools so engineers can assign tickets directly to an AI agent to action? | |||||
What autonomous coding tools have the best ecosystem of community plugins for extending agent capabilities with custom tools and workflows? | |||||
Performance & Reliability1/5 cited (20%) | |||||
What autonomous coding agents run tasks inside a secure sandbox so a compromised prompt can't affect the host filesystem? | |||||
Which autonomous coding agents are most cost-efficient for high-volume use — minimising frontier LLM provider token spend per merged PR? | |||||
Which cloud coding agents have the best uptime and task success rates for a mid-size team running dozens of concurrent agent jobs daily? | |||||
Which AI coding agents complete multi-file tasks fastest without sacrificing correctness — benchmarks or real-world comparisons? | |||||
What agentic coding tools handle long-running tasks reliably — resuming after an interruption rather than starting over from scratch? | |||||
Setup & First Run2/5 cited (40%) | |||||
What are the best agentic IDEs for a team migrating from a traditional code editor that want AI-assisted multi-file editing from day one? | |||||
Which agentic CLI tools work out of the box on popular operating systems without requiring a container sandbox just to get started? | |||||
Which cloud coding agents can be connected to an existing private repo and start opening pull requests with minimal setup? | |||||
What's the easiest AI coding agent to get running locally on a large existing TypeScript monorepo without hours of configuration? | |||||
I'm evaluating autonomous coding agents for a 10-person startup — which ones can a new engineer get productive with in under an hour? | |||||
Turn this matrix into daily prompt monitoring.
Track prompt changesVertical Ranking
| # | Brand | PresencePres. | Share of VoiceSoV | DocsDocs | BlogBlog | MentionsMent. | Avg PosPos | Sentiment |
|---|---|---|---|---|---|---|---|---|
| 1 | Augment Code | 8.8% | 32.7% | 0.0% | 0.0% | 8.0% | #7.2 | +0.21 |
| 2 | Anthropic (Claude Code) | 3.2% | 12.7% | 0.0% | 0.0% | 3.2% | #3.9 | +0.35 |
| 3 | Block (Goose) | 3.2% | 12.7% | 0.0% | 0.0% | 3.2% | #4.9 | +0.54 |
| 4 | OpenAI (Codex CLI / Codex) | 3.2% | 10.9% | 0.8% | 0.0% | 2.4% | #7.7 | +0.25 |
| 5 | Factory (Droid) | 2.4% | 10.9% | 0.0% | 0.0% | 1.6% | #4.7 | +0.60 |
| 6 | Cursor (Anysphere) | 2.4% | 5.5% | 0.8% | 0.8% | 2.4% | #16.7 | +0.27 |
| 7 | Warp | 1.6% | 3.6% | 1.6% | 0.0% | 1.6% | #4.0 | +0.30 |
| 8 | All Hands AI (OpenHands) | 0.8% | 5.5% | 0.0% | 0.0% | 0.8% | #2.0 | +0.70 |
| 9 | OpenCode | 0.8% | 1.8% | 0.0% | 0.0% | 0.8% | #2.0 | +0.60 |
| 10 | Cognition (Devin) | 0.8% | 1.8% | 0.8% | 0.0% | 0.8% | #3.0 | +0.80 |
| 11 | Aider AI | 0.8% | 1.8% | 0.0% | 0.0% | 0.8% | #27.0 | +0.00 |
| 12 | Amp | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | — | — |
| 13 | Cline Bot Inc. | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | — | — |
| 14 | Lovable | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | — | — |
| 15 | Replit (Agent 3) | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | — | — |
| 16 | Roo Code (Roomote) | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | — | — |
| 17 | StackBlitz (Bolt.new) | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | — | — |
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