RRepoGEO

REPOGEO REPORT · LITE

Doriandarko/maestro

Default branch main · commit d552e010 · scanned 5/10/2026, 2:28:17 PM

GitHub: 4,337 stars · 651 forks

AI VISIBILITY SCORE
30 /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
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 Doriandarko/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 for AI agent orchestration

    Why:

    COPY-PASTE FIX
    llm-agents, agent-orchestration, claude-opus, gpt, litellm, python, ai-framework, multi-agent-system
  • highreadme#2
    Reposition the README's first sentence for clarity

    Why:

    CURRENT
    This Python script demonstrates an AI-assisted task breakdown and execution workflow using the Anthropic API.
    COPY-PASTE FIX
    Maestro is a Python framework designed for advanced AI agent orchestration, enabling Claude Opus, GPT, and local LLMs to intelligently break down complex objectives into sub-tasks and execute them.
  • mediumlicense#3
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a LICENSE file in the repository root, choosing an appropriate open-source license (e.g., MIT, Apache-2.0) and adding its text.

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 Doriandarko/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 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. LlamaIndex · recommended 2×
  3. CrewAI · recommended 2×
  4. Marvin · recommended 2×
  5. deepset/Haystack · recommended 1×
  • CATEGORY QUERY
    Looking for a Python framework to intelligently orchestrate AI subagents for complex task execution.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack (deepset/Haystack)
    4. AutoGPT
    5. CrewAI
    6. Marvin

    AI recommended 6 alternatives but never named Doriandarko/maestro. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to build an agentic workflow using various LLM APIs for automated task completion?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. AutoGen
    4. CrewAI
    5. Haystack
    6. Marvin
    7. Guidance

    AI recommended 7 alternatives but never named Doriandarko/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
    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 Doriandarko/maestro?
    pass
    AI named Doriandarko/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 Doriandarko/maestro in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Doriandarko/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 Doriandarko/maestro solve, and who is the primary audience?
    pass
    AI named Doriandarko/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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Doriandarko/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