RRepoGEO

REPOGEO REPORT · LITE

alvinunreal/tmuxai

Default branch main · commit 09e858c5 · scanned 5/25/2026, 9:16:35 PM

GitHub: 1,831 stars · 112 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 alvinunreal/tmuxai, 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 primary heading and opening paragraph to clearly state its tmux plugin nature.

    Why:

    CURRENT
    The current README starts with a centered h3 "TmuxAI" followed by "Your intelligent pair programmer directly within your tmux sessions."
    COPY-PASTE FIX
    Replace the initial `h3` and `p` with: `<h1>TmuxAI: Your AI Pair Programmer for Tmux Sessions</h1>
<p>Integrate intelligent AI assistance directly into your tmux workflow as a non-intrusive plugin, offering context-aware help without leaving your terminal.</p>`
  • mediumtopics#2
    Add more specific tmux-related and functional topics.

    Why:

    CURRENT
    ai, assistant, chatgpt, tmux, warp
    COPY-PASTE FIX
    ai, assistant, chatgpt, tmux, tmux-plugin, terminal, cli, developer-tools, productivity, code-assistant
  • lowcomparison#3
    Add a "Comparison with Alternatives" section to the README.

    Why:

    COPY-PASTE FIX
    Add a new section titled `## Comparison with Alternatives` that briefly explains how TmuxAI differs from general AI coding assistants (like GitHub Copilot, Codeium) and other terminal AI tools (like ShellGPT, Fig AI) by focusing on its deep, non-intrusive integration *within tmux sessions*.

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 alvinunreal/tmuxai
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. ShellGPT (sgpt) · recommended 1×
  4. Aider · recommended 1×
  5. Continue · recommended 1×
  • CATEGORY QUERY
    How can I integrate an AI assistant directly into my terminal workflow for coding help?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot CLI
    2. Fig AI
    3. ShellGPT (sgpt)
    4. Aider
    5. Continue
    6. OpenAI API
    7. Anthropic's Claude
    8. Google's Gemini

    AI recommended 8 alternatives but never named alvinunreal/tmuxai. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good options for an AI pair programmer tool within my tmux sessions?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot
    2. Codeium
    3. Tabnine
    4. Cursor
    5. Continue (continue-dev/continue)
    6. ChatGPT/GPT-4
    7. shell-gpt (TheRensselaerIRA/shell-gpt)
    8. aicommits (Nutlope/aicommits)

    AI recommended 8 alternatives but never named alvinunreal/tmuxai. 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 alvinunreal/tmuxai?
    pass
    AI named alvinunreal/tmuxai explicitly

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

  • If a team adopts alvinunreal/tmuxai in production, what risks or prerequisites should they evaluate first?
    pass
    AI named alvinunreal/tmuxai 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 alvinunreal/tmuxai solve, and who is the primary audience?
    pass
    AI did not name alvinunreal/tmuxai — 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 alvinunreal/tmuxai. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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alvinunreal/tmuxai — 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