RRepoGEO

REPOGEO REPORT · LITE

23blocks-OS/ai-maestro

Default branch main · commit 9153a633 · scanned 5/31/2026, 12:26:12 AM

GitHub: 690 stars · 91 forks

AI VISIBILITY SCORE
27 /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
1 / 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 23blocks-OS/ai-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 statement to clearly define the product category

    Why:

    CURRENT
    # AI Maestro

*I was running 35 AI agents across multiple terminals and became the human mailman between them. So I built AI Maestro.The OS for AI-first organizations — orchestrate any AI agent with persistent memory, agent-to-agent messaging, and multi-machine support.**
    COPY-PASTE FIX
    # AI Maestro

**AI Maestro is the operating system for AI-first organizations, providing a unified dashboard to orchestrate, manage, and enhance *any* existing AI agent (Claude, Codex, Aider, etc.) with persistent memory, agent-to-agent messaging, and multi-machine support.**
  • mediumtopics#2
    Add more specific topics to emphasize agent management and orchestration

    Why:

    CURRENT
    agent-communication, agent-skills, agentic-ai, ai-agents, ai-coding-assistant, ai-memory, ai-orchestration, ai-workforce, autonomous-agents, claude-code, claude-code-plugins, claude-code-skills, clawdbot, code-graph, developer-tools, multi-agent-systems, openclaw, pair-programming, plugin-builder, tmux
    COPY-PASTE FIX
    agent-communication, agent-skills, agentic-ai, ai-agents, ai-coding-assistant, ai-memory, ai-orchestration, ai-workforce, autonomous-agents, claude-code, claude-code-plugins, claude-code-skills, clawdbot, code-graph, developer-tools, multi-agent-systems, openclaw, pair-programming, plugin-builder, tmux, ai-agent-management, multi-agent-orchestration-platform, ai-ops, agent-dashboard, ai-workflow-management
  • lowcomparison#3
    Add a 'Comparison' section to the README to differentiate from agent frameworks

    Why:

    COPY-PASTE FIX
    ## AI Maestro vs. Agent Frameworks (LangChain, AutoGen, CrewAI)

AI Maestro is designed to orchestrate and manage *existing* AI agents, providing a unified dashboard, persistent memory, and agent-to-agent communication across multiple machines. It is an operating system for your deployed AI workforce.

In contrast, frameworks like LangChain, AutoGen, and CrewAI are primarily libraries and tools for *building* new AI agents and defining their internal logic and workflows. While they are excellent for agent development, AI Maestro complements them by providing the operational layer for your agents once they are built and deployed.

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 23blocks-OS/ai-maestro
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
langchain-ai/langchain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. langchain-ai/langchain · recommended 1×
  2. microsoft/autogen · recommended 1×
  3. joaomdmoura/crewai · recommended 1×
  4. deepset-ai/haystack · recommended 1×
  5. run-llama/llama_index · recommended 1×
  • CATEGORY QUERY
    How to orchestrate multiple AI agents, enabling direct communication and shared context?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. AutoGen (microsoft/autogen)
    3. CrewAI (joaomdmoura/crewai)
    4. Haystack (deepset-ai/haystack)
    5. LlamaIndex (run-llama/llama_index)
    6. Open Interpreter (KillianLucas/open-interpreter)
    7. RabbitMQ (rabbitmq/rabbitmq-server)
    8. Apache Kafka (apache/kafka)

    AI recommended 8 alternatives but never named 23blocks-OS/ai-maestro. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a system to enhance AI agent capabilities with memory, code analysis, and custom skills.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. AutoGPT
    5. OpenAI Assistants API
    6. Semantic Kernel

    AI recommended 6 alternatives but never named 23blocks-OS/ai-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 23blocks-OS/ai-maestro?
    pass
    AI did not name 23blocks-OS/ai-maestro — 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 23blocks-OS/ai-maestro in production, what risks or prerequisites should they evaluate first?
    pass
    AI named 23blocks-OS/ai-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 23blocks-OS/ai-maestro solve, and who is the primary audience?
    pass
    AI did not name 23blocks-OS/ai-maestro — 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?

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  • Brand-free category queries5 vs 2 in Lite
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