RRepoGEO

REPOGEO REPORT · LITE

tom-doerr/zsh_codex

Default branch main · commit 6ede649f · scanned 5/29/2026, 12:07:54 AM

GitHub: 1,725 stars · 97 forks

AI VISIBILITY SCORE
28 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 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 tom-doerr/zsh_codex, 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's core value proposition upfront

    Why:

    CURRENT
    <h1 align="center">⌨️ 🦾 Zsh Codex</h1>

<p align="center">
    AI in the command line.
</p>
    COPY-PASTE FIX
    <h1 align="center">⌨️ 🦾 Zsh Codex</h1>

<p align="center">
    AI-powered code completion and command suggestions directly in your Zsh terminal.
</p>

<p align="center">
    This ZSH plugin integrates OpenAI's Codex and Google's Generative AI (Gemini) to provide context-aware assistance as you type.
</p>
  • mediumhomepage#2
    Add a homepage URL to the repository

    Why:

    COPY-PASTE FIX
    https://github.com/tom-doerr/zsh_codex
  • lowtopics#3
    Expand repository topics for broader AI categorization

    Why:

    CURRENT
    ai, codex, openai, zsh
    COPY-PASTE FIX
    ai, codex, openai, zsh, llm, generative-ai, command-line, terminal, productivity

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 tom-doerr/zsh_codex
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GitHub Copilot CLI
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GitHub Copilot CLI · recommended 1×
  2. Fig AI · recommended 1×
  3. Tabnine · recommended 1×
  4. paul-gauthier/aider · recommended 1×
  5. ashishb/shell-genie · recommended 1×
  • CATEGORY QUERY
    How can I get AI-powered code suggestions directly in my Zsh terminal?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot CLI
    2. Fig AI
    3. Tabnine
    4. Aider (paul-gauthier/aider)
    5. Shell Genie (ashishb/shell-genie)

    AI recommended 5 alternatives but never named tom-doerr/zsh_codex. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a Zsh plugin to integrate large language models for command-line assistance.
    you: not recommended
    AI recommended (in order):
    1. zsh-ai
    2. zsh-llm
    3. llm-shell
    4. zsh-gpt
    5. ai-shell

    AI recommended 5 alternatives but never named tom-doerr/zsh_codex. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    warn

    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 tom-doerr/zsh_codex?
    pass
    AI did not name tom-doerr/zsh_codex — 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?

  • If a team adopts tom-doerr/zsh_codex in production, what risks or prerequisites should they evaluate first?
    pass
    AI named tom-doerr/zsh_codex 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 tom-doerr/zsh_codex solve, and who is the primary audience?
    pass
    AI named tom-doerr/zsh_codex explicitly

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

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tom-doerr/zsh_codex — 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