RRepoGEO

REPOGEO REPORT · LITE

openonion/connectonion

Default branch main · commit f1f486f4 · scanned 6/20/2026, 3:17:13 AM

GitHub: 1,164 stars · 161 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 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
  • highreadme#1
    Reposition the README H1 and tagline to explicitly state 'AI Agent Framework'

    Why:

    CURRENT
    # 🧅 ConnectOnion

A simple, elegant open-source framework for production-ready AI agents
    COPY-PASTE FIX
    # 🧅 ConnectOnion: An AI Agent Framework for Collaboration

A simple, elegant open-source framework for production-ready AI agents, designed for seamless agent collaboration.
  • mediumtopics#2
    Expand repository topics with more specific AI agent and LLM framework terms

    Why:

    CURRENT
    agent, agentic-ai, llm, openonion
    COPY-PASTE FIX
    agent, agentic-ai, llm, openonion, ai-agents, multi-agent, agent-framework, llm-framework, generative-ai, python-framework
  • lowcomparison#3
    Add a 'Why ConnectOnion?' or 'Comparison' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section to the README titled 'Why ConnectOnion?' or 'ConnectOnion vs. Other Frameworks'. This section should briefly explain how ConnectOnion's 'Keep simple things simple, make complicated things possible' philosophy translates into advantages over more complex alternatives like LangChain, LlamaIndex, or CrewAI, especially for agent collaboration and production readiness.

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
CrewAI
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. CrewAI · recommended 2×
  2. LangChain · recommended 2×
  3. LlamaIndex · recommended 2×
  4. AutoGen · recommended 1×
  5. Haystack · recommended 1×
  • CATEGORY QUERY
    How to build collaborating AI agents efficiently for complex tasks?
    you: not recommended
    AI recommended (in order):
    1. CrewAI
    2. AutoGen
    3. LangChain
    4. LlamaIndex
    5. Haystack
    6. Open Interpreter

    AI recommended 6 alternatives but never named openonion/connectonion. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are simple open-source frameworks for developing production-ready LLM agents?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack (deepset/Haystack)
    4. CrewAI
    5. Autogen

    AI recommended 5 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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openonion/connectonion — 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