RRepoGEO

REPOGEO REPORT · LITE

openai/codex-action

Default branch main · commit 9cdb6f38 · scanned 5/26/2026, 3:33:26 PM

GitHub: 1,024 stars · 126 forks

AI VISIBILITY SCORE
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 fail
Objective metadata checks
AI knows your name
3 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface openai/codex-action, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highabout#1
    Add a concise repository description

    Why:

    COPY-PASTE FIX
    Run Codex from a GitHub Actions workflow while keeping tight control over the privileges available to Codex.
  • hightopics#2
    Add relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    github-actions, codex, openai, ai-code-review, code-generation, ci-cd, pull-request-bot
  • mediumhomepage#3
    Add a homepage URL to the repository

    Why:

    COPY-PASTE FIX
    https://github.com/openai/codex-action

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface openai/codex-action
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI API
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI API · recommended 2×
  2. GitHub Copilot for Pull Requests · recommended 1×
  3. CodeRabbit · recommended 1×
  4. Snyk Code · recommended 1×
  5. Reviewdog · recommended 1×
  • CATEGORY QUERY
    How to automate code review comments using AI within GitHub Actions workflows?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot for Pull Requests
    2. CodeRabbit
    3. Snyk Code
    4. OpenAI API
    5. Reviewdog

    AI recommended 5 alternatives but never named openai/codex-action. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool for running AI code generation models directly from my CI/CD pipeline?
    you: not recommended
    AI recommended (in order):
    1. GitHub Actions
    2. OpenAI API
    3. Hugging Face Inference API
    4. GitLab CI/CD
    5. Docker
    6. Kubernetes
    7. Jenkins
    8. Hugging Face Transformers
    9. llama.cpp
    10. Azure DevOps Pipelines
    11. Azure OpenAI Service
    12. Azure Machine Learning
    13. CircleCI
    14. AWS CodePipeline
    15. AWS CodeBuild
    16. AWS SageMaker Endpoints

    AI recommended 16 alternatives but never named openai/codex-action. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of openai/codex-action?
    pass
    AI named openai/codex-action explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts openai/codex-action in production, what risks or prerequisites should they evaluate first?
    pass
    AI named openai/codex-action explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo openai/codex-action solve, and who is the primary audience?
    pass
    AI named openai/codex-action explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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openai/codex-action — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite