RRepoGEO

REPOGEO REPORT · LITE

Jedward23/Tmux-Orchestrator

Default branch main · commit 71935302 · scanned 5/8/2026, 7:48:24 PM

GitHub: 1,707 stars · 328 forks

AI VISIBILITY SCORE
23 /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
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 Jedward23/Tmux-Orchestrator, 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

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

OVERALL DIRECTION
  • highreadme#1
    Reposition the README's opening to clarify its core purpose as an AI agent orchestrator

    Why:

    CURRENT
    **Run AI agents 24/7 while you sleepThe Tmux Orchestrator enables Claude agents to work autonomously, schedule their own check-ins, and coordinate across multiple projects without human intervention.
    COPY-PASTE FIX
    The Tmux Orchestrator is a powerful system designed to run and coordinate autonomous AI agents (like Claude) 24/7 across multiple projects. It leverages `tmux` as its underlying infrastructure to enable agents to schedule their own check-ins and work without human intervention. This is not just a `tmux` session manager; it's an AI agent orchestration platform.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root with a standard open-source license (e.g., MIT, Apache-2.0, or GPL-3.0) to clearly define usage terms.

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 Jedward23/Tmux-Orchestrator
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
AutoGPT
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. AutoGPT · recommended 1×
  2. BabyAGI · recommended 1×
  3. CrewAI · recommended 1×
  4. LangChain Agents · recommended 1×
  5. MetaGPT · recommended 1×
  • CATEGORY QUERY
    How to run and coordinate multiple AI agents autonomously for coding projects?
    you: not recommended
    AI recommended (in order):
    1. AutoGPT
    2. BabyAGI
    3. CrewAI
    4. LangChain Agents
    5. MetaGPT
    6. AgentVerse
    7. Open Interpreter

    AI recommended 7 alternatives but never named Jedward23/Tmux-Orchestrator. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What framework helps orchestrate hierarchical AI agents for large-scale software development?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. AutoGen (microsoft/autogen)
    3. Haystack (deepset-ai/haystack)
    4. CrewAI (joaomdmoura/crewai)
    5. LlamaIndex (run-llama/llama_index)
    6. OpenAI Assistants API

    AI recommended 6 alternatives but never named Jedward23/Tmux-Orchestrator. 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 Jedward23/Tmux-Orchestrator?
    pass
    AI did not name Jedward23/Tmux-Orchestrator — 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 Jedward23/Tmux-Orchestrator in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Jedward23/Tmux-Orchestrator 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 Jedward23/Tmux-Orchestrator solve, and who is the primary audience?
    pass
    AI named Jedward23/Tmux-Orchestrator explicitly

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

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Jedward23/Tmux-Orchestrator — 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