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AI visibility report

OpenAI (Codex CLI / Codex) ranks #2 in Autonomous Coding Agents AI search.

Outside the top three on 13 of the 25 prompts buyers actually ask.

All Hands AI (OpenHands) is cited on 4 of those losses.

25 prompts
5 platforms
Updated Aug 16, 2026 - refreshed weekly
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11percent
Presence Rate
Low presence

#2 among 17 vendors · still absent from 88.8% of tracked prompt responses

Top-3 citations across 125 prompt × platform pairs

+0.66
Sentiment
-1.00.0+1.0
Very positive
#2of 17

Peer Ranking

#1#17
Top tierin Autonomous Coding Agents

Key Metrics

Presence Rate11.2%
Share of Voice20.6%
Avg Position#4.0
Docs Presence3.2%
Blog Presence0.0%
Brand Mentions48.0%

Platform Breakdown

ChatGPT
52%13/25 prompts
Google AI Mode
4%1/25 prompts
Perplexity
0%0/25 prompts
Gemini Search
0%0/25 prompts
Bing Copilot
0%0/25 prompts

Visible, but narrative can improve. OpenAI (Codex CLI / Codex) ranks #2 on presence but #4 on sentiment. The brand appears relatively often, but competitors may be getting more favorable language when they appear.

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 winning5

  • Which cloud coding agents have the best uptime and task success rates for a mid-size team running dozens of concurrent agent jobs daily?

    Avg # 1.0 · 1 platform

  • Which autonomous coding agents can reliably write and run tests, interpret failures, and self-correct without human intervention?

    Avg # 1.0 · 1 platform

  • What AI coding agents do senior engineers prefer for refactoring large codebases without babysitting every intermediate step?

    Avg # 1.0 · 1 platform

  • Which agentic CLI tools work out of the box on popular operating systems without requiring a container sandbox just to get started?

    Avg # 2.0 · 1 platform

  • Which autonomous coding agents give the best real-time feedback loop when running multi-step tasks so developers stay in control?

    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 prompt

  • What autonomous coding tools have the best ecosystem of community plugins for extending agent capabilities with custom tools and workflows?

    Competitors on 2 platforms

    Track this prompt

  • Which cloud coding agents are best for generating and merging pull requests asynchronously without a developer staying in the loop?

    Competitors on 2 platforms

    Track this prompt

  • What autonomous coding tools handle legacy codebases in dynamically typed languages best — Python 2 or older PHP specifically?

    Competitors on 2 platforms

    Track this prompt

  • What agentic coding tools handle long-running tasks reliably — resuming after an interruption rather than starting over from scratch?

    Competitors on 2 platforms

    Track this prompt

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Research 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

Individual software engineers and full-stack developers using CLI, IDE, or desktop appEngineering teams and tech leads managing parallel async coding tasks across repositoriesEnterprise development organizations requiring RBAC, audit logs, and no-data-training guaranteesProduct managers and non-engineers delegating scoped coding and documentation tasksDevOps and platform engineers automating CI/CD code review and security scanning workflowsStudents and learners using Codex for codebase exploration and accelerated skill development
openai.com

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

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

OpenAI (internal)

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

Visibility+0.8 pts
Avg position+1.56
Sentiment+0.09

How AI describes OpenAI (Codex CLI / Codex)

No concise AI response excerpt is available for this brand yet.

Most cited sources8

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.
View category comparison hub

Reviews

4.7/5G2·9+

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

Capability5/5DevEx2/5Integrations &Ecosystem2/5Performance &Reliability4/5Setup & First Run1/5

Prompt-Level Results

Brand citedCompetitor citedNot cited
PromptGoogle AI ModePerplexityGemini SearchBing CopilotChatGPT
Capability5/5 cited (100%)

Which cloud coding agents are best for generating and merging pull requests asynchronously without a developer staying in the loop?

What autonomous coding tools handle legacy codebases in dynamically typed languages best — Python 2 or older PHP specifically?

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?

Which autonomous coding agents can reliably write and run tests, interpret failures, and self-correct without human intervention?

What AI coding agents handle multi-repo tasks well — making coordinated changes across a frontend and backend repo in a single session?

Developer Experience2/5 cited (40%)

What autonomous coding tools are best suited for a solo developer who wants to delegate routine feature work and focus on architecture?

Which AI coding agents handle context window limitations most gracefully when working across dozens of files in an enterprise codebase?

What AI coding agents do senior engineers prefer for refactoring large codebases without babysitting every intermediate step?

Which agentic IDEs have the smoothest experience for reviewing and approving AI-generated changes before they touch the main branch?

Which autonomous coding agents give the best real-time feedback loop when running multi-step tasks so developers stay in control?

Integrations & Ecosystem2/5 cited (40%)

Which autonomous coding agents integrate natively with popular code editors so devs can trigger agent tasks without leaving their IDE?

What autonomous coding tools have the best ecosystem of community plugins for extending agent capabilities with custom tools and workflows?

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?

Which cloud coding agents integrate with CI pipelines to automatically attempt fixes when a build or test suite fails?

Performance & Reliability4/5 cited (80%)

What autonomous coding agents run tasks inside a secure sandbox so a compromised prompt can't affect the host filesystem?

Which cloud coding agents have the best uptime and task success rates for a mid-size team running dozens of concurrent agent jobs daily?

What agentic coding tools handle long-running tasks reliably — resuming after an interruption rather than starting over from scratch?

Which AI coding agents complete multi-file tasks fastest without sacrificing correctness — benchmarks or real-world comparisons?

Which autonomous coding agents are most cost-efficient for high-volume use — minimising frontier LLM provider token spend per merged PR?

Setup & First Run1/5 cited (20%)

I'm evaluating autonomous coding agents for a 10-person startup — which ones can a new engineer get productive with in under an hour?

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?

Which agentic CLI tools work out of the box on popular operating systems without requiring a container sandbox just to get started?

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?

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Vertical Ranking

#BrandPres.SoVDocsBlogMent.PosSentiment
1Augment Code12.0%22.1%0.0%0.0%8.0%#6.3+0.33
2OpenAI (Codex CLI / Codex)11.2%20.6%3.2%0.0%48.0%#4.0+0.66
3All Hands AI (OpenHands)9.6%14.5%3.2%6.4%19.2%#4.6+0.52
4Anthropic (Claude Code)7.2%9.9%1.6%0.8%69.6%#4.9+0.43
5Cursor (Anysphere)4.8%8.4%2.4%1.6%56.8%#2.8+0.67
6Cline Bot Inc.4.8%7.6%0.8%1.6%19.2%#2.9+0.60
7Cognition (Devin)4.8%7.6%4.8%0.0%42.4%#5.4+0.67
8OpenCode2.4%3.1%1.6%0.0%16.0%#2.0+0.57
9Aider AI1.6%2.3%1.6%0.0%23.2%#5.3+0.90
10Factory (Droid)0.8%2.3%0.0%0.0%0.8%#2.0+0.50
11Warp0.8%1.5%0.8%0.0%0.8%#2.0+0.00
12Amp0.0%0.0%0.0%0.0%1.6%——
13Block (Goose)0.0%0.0%0.0%0.0%0.0%——
14Lovable0.0%0.0%0.0%0.0%0.0%——
15Replit (Agent 3)0.0%0.0%0.0%0.0%1.6%——
16Roo Code (Roomote)0.0%0.0%0.0%0.0%7.2%——
17StackBlitz (Bolt.new)0.0%0.0%0.0%0.0%0.0%——

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