RRepoGEO

REPOGEO REPORT · LITE

RunMaestro/Maestro

Default branch main · commit 8a4cccf0 · scanned 6/22/2026, 3:57:05 AM

GitHub: 3,045 stars · 320 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 README opening to clarify 'desktop app for existing agent orchestration'

    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 the ultimate **desktop command center for orchestrating your existing fleet of AI agents and generative AI projects.** Unlike agent building frameworks or single-purpose UIs, Maestro provides a high-velocity, cross-platform application for power users to manage multiple parallel AI tasks with a keyboard-driven interface.
  • mediumtopics#2
    Add more specific topics to improve category matching

    Why:

    CURRENT
    ai-agents, claude-code, codex, generative-ai, opencode
    COPY-PASTE FIX
    ai-agents, claude-code, codex, generative-ai, opencode, desktop-application, agent-orchestration, multi-agent-system, ai-workflow
  • lowcomparison#3
    Add a 'Maestro vs. Other Tools' section to the README

    Why:

    COPY-PASTE FIX
    ## Maestro vs. Other Tools
    
    Maestro stands apart from agent building frameworks like LangChain or AutoGen by focusing on orchestrating *existing* AI agents rather than helping you build new ones. Unlike general-purpose desktop UIs such as ComfyUI or InvokeAI, Maestro is purpose-built for managing complex, parallel generative AI coding projects with a keyboard-first interface, without requiring an external database for basic state management.

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
LangChain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 1×
  2. CrewAI · recommended 1×
  3. AutoGen · recommended 1×
  4. Open Interpreter · recommended 1×
  5. Haystack · recommended 1×
  • CATEGORY QUERY
    What tools help orchestrate multiple AI agents and run coding tasks in parallel?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. CrewAI
    3. AutoGen
    4. Open Interpreter
    5. Haystack
    6. Dify
    7. BabyAGI
    8. SuperAGI

    AI recommended 8 alternatives but never named RunMaestro/Maestro. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a desktop application to manage and automate generative AI projects for power users.
    you: not recommended
    AI recommended (in order):
    1. ComfyUI
    2. InvokeAI
    3. Automatic1111's Stable Diffusion web UI
    4. Pinokio
    5. RunDiffusion
    6. Gradio

    AI recommended 6 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?

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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