RRepoGEO

REPOGEO REPORT · LITE

RunMaestro/Maestro

Default branch main · commit d0e1363e · scanned 5/11/2026, 10:01:22 PM

GitHub: 2,888 stars · 303 forks

AI VISIBILITY SCORE
40 /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
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 RunMaestro/Maestro, 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 opening paragraph to clarify its core identity

    Why:

    CURRENT
    Maestro is a cross-platform desktop app for orchestrating your fleet of AI agents and projects. It's a high-velocity solution for hackers who are juggling multiple projects in parallel. Designed for power users who live on the keyboard and rarely touch the mouse.
    COPY-PASTE FIX
    Maestro is a cross-platform desktop application designed for developers and power users to orchestrate their fleet of *AI coding agents* and projects. Unlike server-side workflow orchestrators, Maestro provides a high-velocity, keyboard-driven interface for juggling multiple parallel AI coding sessions, enabling long-running unattended generative AI tasks with clean context.
  • mediumtopics#2
    Add more specific topics to improve categorization

    Why:

    CURRENT
    ai-agents, claude-code, codex, generative-ai, opencode
    COPY-PASTE FIX
    ai-agents, claude-code, codex, generative-ai, opencode, desktop-app, ai-coding-assistant, agent-orchestration, unattended-ai
  • mediumreadme#3
    Add a 'Comparison' section to the README

    Why:

    COPY-PASTE FIX
    ## Maestro vs. Other Tools

Maestro is a unique cross-platform desktop application focused on orchestrating *multiple AI coding agents* for developers and power users.

*   **Not a server-side workflow orchestrator:** Unlike tools such as Apache Airflow, Prefect, or Temporal, Maestro is a local desktop application, not a distributed system for managing complex data pipelines or microservices. It does not require external databases or server deployments.
*   **More than a single AI agent:** While it integrates with tools like Claude Code, OpenAI Codex, and OpenCode, Maestro is not an AI agent itself. Instead, it provides a unified, keyboard-driven command center to run, manage, and parallelize sessions across your fleet of preferred AI coding agents, enabling long-running, unattended tasks with isolated contexts.
*   **Focused on coding:** Maestro is specifically designed for generative AI coding tasks, providing a high-velocity interface for developers, rather than general-purpose AI interaction or data analysis.

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 RunMaestro/Maestro
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Kubernetes
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Kubernetes · recommended 1×
  2. argoproj/argo-workflows · recommended 1×
  3. apache/airflow · recommended 1×
  4. PrefectHQ/prefect · recommended 1×
  5. temporalio/temporal · recommended 1×
  • CATEGORY QUERY
    How can I manage and orchestrate multiple AI coding agents for parallel projects?
    you: not recommended
    AI recommended (in order):
    1. Kubernetes
    2. Argo Workflows (argoproj/argo-workflows)
    3. Apache Airflow (apache/airflow)
    4. Prefect (PrefectHQ/prefect)
    5. Temporal (temporalio/temporal)
    6. GitHub Actions
    7. GitLab CI/CD
    8. AWS Step Functions
    9. Azure Logic Apps
    10. Google Cloud Workflows
    11. Celery (celery/celery)
    12. Dask (dask/dask)

    AI recommended 12 alternatives but never named RunMaestro/Maestro. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What desktop application helps power users run unattended generative AI coding sessions efficiently?
    you: not recommended
    AI recommended (in order):
    1. Open Interpreter (OpenInterpreter/OpenInterpreter)
    2. AutoGPT (Significant-Gravitas/AutoGPT)
    3. AgentGPT (reworkd/AgentGPT)
    4. SuperAGI (TransformerOptimus/SuperAGI)
    5. Continue.dev (Continue-team/continue)
    6. LM Studio
    7. Ollama (ollama/ollama)
    8. Jupyter Notebooks (jupyter/notebook)
    9. JupyterLab (jupyterlab/jupyterlab)
    10. papermill (nteract/papermill)
    11. nbconvert (jupyter/nbconvert)
    12. VS Code (microsoft/vscode)
    13. CodeGPT (carlpaton/CodeGPT)
    14. GitHub Copilot Chat
    15. Cursor

    AI recommended 15 alternatives but never named RunMaestro/Maestro. 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 RunMaestro/Maestro?
    pass
    AI named RunMaestro/Maestro explicitly

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

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

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

Embed your GEO score

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MARKDOWN (README)
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RunMaestro/Maestro — 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