RRepoGEO

REPOGEO REPORT · LITE

openonion/connectonion

Default branch main · commit 73115740 · scanned 5/10/2026, 4:51:52 AM

GitHub: 1,051 stars · 143 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 openonion/connectonion, 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
  • highabout#1
    Clarify repository description to counter misinterpretation

    Why:

    CURRENT
    The Best AI Agent Framework for Agent Collaboration.
    COPY-PASTE FIX
    ConnectOnion: A robust AI Agent Framework for Agent Collaboration, enabling production-ready AI agents. (Note: This project is unrelated to Tor or onion services.)
  • mediumtopics#2
    Expand repository topics for better category visibility

    Why:

    CURRENT
    agent, agentic-ai, llm, openonion
    COPY-PASTE FIX
    agent, agentic-ai, llm, openonion, ai-framework, agent-collaboration, ai-tools
  • lowreadme#3
    Strengthen README's opening statement for key features

    Why:

    CURRENT
    A simple, elegant open-source framework for production-ready AI agents
    COPY-PASTE FIX
    A simple, elegant open-source framework for **collaborative, production-ready AI agents** that easily integrate **external tools**.

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 openonion/connectonion
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. Haystack · recommended 2×
  4. Microsoft Semantic Kernel · recommended 2×
  5. AutoGPT · recommended 2×
  • CATEGORY QUERY
    What framework simplifies building robust, production-ready AI agents powered by large language models?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. Microsoft Semantic Kernel
    5. AutoGPT
    6. BabyAGI
    7. OpenAI Assistants API

    AI recommended 7 alternatives but never named openonion/connectonion. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I enable multiple AI agents to collaborate and utilize external tools efficiently?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. AutoGPT
    3. CrewAI
    4. Microsoft Semantic Kernel
    5. LlamaIndex
    6. Haystack
    7. AgentVerse

    AI recommended 7 alternatives but never named openonion/connectonion. 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 openonion/connectonion?
    pass
    AI named openonion/connectonion explicitly

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

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

    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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