RRepoGEO

REPOGEO REPORT · LITE

shanraisshan/codex-cli-best-practice

Default branch main · commit b79f473a · scanned 6/13/2026, 1:02:48 AM

GitHub: 860 stars · 50 forks

AI VISIBILITY SCORE
33 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
2 / 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 shanraisshan/codex-cli-best-practice, 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
  • highreadme#1
    Reposition the README H1 to specify category

    Why:

    CURRENT
    # codex-cli-best-practice from vibe coding to agentic engineering - practice makes codex perfect
    COPY-PASTE FIX
    # codex-cli-best-practice: Best Practices for Agentic Engineering & Orchestration with Codex CLI
  • mediumreadme#2
    Clarify the problem solved in the README's opening

    Why:

    COPY-PASTE FIX
    Add this sentence immediately after the H1: "This repository serves as a comprehensive guide and practical framework for leveraging `codex-cli` to build, manage, and orchestrate AI agents effectively, transitioning from basic 'vibe coding' to structured, agentic engineering workflows."
  • lowcomparison#3
    Add a comparison section to the README

    Why:

    COPY-PASTE FIX
    Add a new section: "## 🆚 Comparison to Other Tools Unlike general code completion tools (e.g., GitHub Copilot, Tabnine) or static analysis platforms (e.g., DeepSource), `codex-cli-best-practice` is not an IDE extension or a code quality linter. Instead, it focuses on providing architectural patterns, workflow strategies, and practical examples for *orchestrating* and *managing* AI agents and subagents using the `codex-cli` for complex development tasks."

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 shanraisshan/codex-cli-best-practice
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GitHub Copilot
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GitHub Copilot · recommended 1×
  2. Tabnine · recommended 1×
  3. CodeWhisperer · recommended 1×
  4. DeepSource · recommended 1×
  5. SonarQube · recommended 1×
  • CATEGORY QUERY
    What are best practices for leveraging AI agents in a modern software development workflow?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot
    2. Tabnine
    3. CodeWhisperer
    4. DeepSource
    5. SonarQube
    6. Snyk Code
    7. OpenAPI Generator
    8. Documatic
    9. Swimm
    10. Testim.io
    11. Applitools Ultrafast Test Cloud
    12. Mabl
    13. Datadog
    14. Dynatrace
    15. New Relic
    16. ChatGPT
    17. Claude
    18. Gemini
    19. Cody
    20. Kubernetes
    21. StormForge
    22. Densify
    23. Splunk

    AI recommended 23 alternatives but never named shanraisshan/codex-cli-best-practice. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a CLI tool to manage and orchestrate AI coding assistants and subagents.
    you: not recommended
    AI recommended (in order):
    1. AgentGPT CLI
    2. LangChain CLI
    3. Open Interpreter CLI
    4. Auto-GPT CLI
    5. CrewAI CLI
    6. Dagger

    AI recommended 6 alternatives but never named shanraisshan/codex-cli-best-practice. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    pass

  • 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 shanraisshan/codex-cli-best-practice?
    pass
    AI named shanraisshan/codex-cli-best-practice explicitly

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

  • If a team adopts shanraisshan/codex-cli-best-practice in production, what risks or prerequisites should they evaluate first?
    pass
    AI named shanraisshan/codex-cli-best-practice 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 shanraisshan/codex-cli-best-practice solve, and who is the primary audience?
    pass
    AI did not name shanraisshan/codex-cli-best-practice — likely talking about a different project

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

Embed your GEO score

Drop this badge into the README of shanraisshan/codex-cli-best-practice. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/shanraisshan/codex-cli-best-practice.svg)](https://repogeo.com/en/r/shanraisshan/codex-cli-best-practice)
HTML
<a href="https://repogeo.com/en/r/shanraisshan/codex-cli-best-practice"><img src="https://repogeo.com/badge/shanraisshan/codex-cli-best-practice.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

shanraisshan/codex-cli-best-practice — 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