RRepoGEO

REPOGEO REPORT · LITE

its-maestro-baby/maestro

Default branch main · commit a10500d0 · scanned 5/21/2026, 5:12:04 PM

GitHub: 1,152 stars · 124 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
35 /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
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 its-maestro-baby/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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    ai-agents, ai-development, developer-tools, cli-tool, orchestration, parallel-processing, git-worktrees, desktop-application
  • highhomepage#2
    Set the repository homepage URL

    Why:

    COPY-PASTE FIX
    https://its-maestro-baby.github.io/maestro/
  • mediumreadme#3
    Add a clarifying sentence to the 'Why Maestro?' section

    Why:

    CURRENT
    The Solution: Run multiple AI sessions in parallel. Each session gets its own:
    COPY-PASTE FIX
    The Solution: Run multiple AI sessions in parallel. Unlike cloud-based orchestration platforms, Maestro is purpose-built for local, isolated AI agent development environments. Each session gets its own:

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 its-maestro-baby/maestro
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GitHub Copilot
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GitHub Copilot · recommended 1×
  2. Cursor · recommended 1×
  3. Claude · recommended 1×
  4. Raycast AI · recommended 1×
  5. Anthropic API · recommended 1×
  • CATEGORY QUERY
    How can I run multiple AI coding assistants simultaneously to speed up development?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot
    2. Cursor
    3. Claude
    4. Raycast AI
    5. Anthropic API
    6. ChatGPT
    7. MacGPT/WindowsGPT
    8. Tabnine

    AI recommended 8 alternatives but never named its-maestro-baby/maestro. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool to orchestrate multiple AI development agents in parallel, each with isolated environments?
    you: not recommended
    AI recommended (in order):
    1. Kubernetes
    2. OpenShift
    3. AWS Batch
    4. Google Cloud Batch
    5. Azure Batch
    6. Apache Mesos
    7. Marathon
    8. Aurora
    9. Nomad
    10. Docker Swarm

    AI recommended 10 alternatives but never named its-maestro-baby/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
    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 its-maestro-baby/maestro?
    pass
    AI named its-maestro-baby/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 its-maestro-baby/maestro in production, what risks or prerequisites should they evaluate first?
    pass
    AI named its-maestro-baby/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 its-maestro-baby/maestro solve, and who is the primary audience?
    pass
    AI named its-maestro-baby/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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its-maestro-baby/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