RRepoGEO

REPOGEO REPORT · LITE

OpenBMB/IoA

Default branch main · commit 9d78e88e · scanned 6/3/2026, 1:52:57 AM

GitHub: 820 stars · 85 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 OpenBMB/IoA, 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 core value proposition immediately after the H1

    Why:

    CURRENT
    The current README structure places badges and links directly after the H1, delaying the core descriptive text to a 'What is Internet of Agents?' section.
    COPY-PASTE FIX
    Add a concise, direct statement about IoA being a framework for collaborative, distributed multi-agent AI systems immediately after the `<h1> Internet of Agents</h1>` and before any badges or links. For example: 'OpenBMB/IoA is an open-source framework designed for building collaborative, distributed multi-agent AI systems, enabling diverse agents to team up and tackle complex tasks through internet-like connectivity.'
  • mediumtopics#2
    Add specific topics related to multi-agent collaboration

    Why:

    CURRENT
    agent, ai, genai, ioa, llm
    COPY-PASTE FIX
    agent, ai, genai, ioa, llm, multi-agent-system, agent-collaboration, distributed-ai, agent-framework
  • mediumreadme#3
    Add a dedicated section for collaborative use cases or examples

    Why:

    COPY-PASTE FIX
    Add a new section, such as '## 💡 Collaborative Use Cases' or '## 🚀 How IoA Enables Collaboration', with 2-3 brief, concrete scenarios demonstrating how agents team up within IoA to solve complex problems (e.g., 'A research agent teams up with a coding agent to develop a new algorithm').

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 OpenBMB/IoA
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
microsoft/autogen
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. microsoft/autogen · recommended 1×
  2. crewai/crewai · recommended 1×
  3. langchain-ai/langchain · recommended 1×
  4. deepset-ai/haystack · recommended 1×
  5. superagi/superagi · recommended 1×
  • CATEGORY QUERY
    How can I build a system for multiple AI agents to collaborate on complex problems?
    you: not recommended
    AI recommended (in order):
    1. AutoGen (microsoft/autogen)
    2. CrewAI (crewai/crewai)
    3. LangChain Agents (langchain-ai/langchain)
    4. Haystack Agents (deepset-ai/haystack)
    5. SuperAGI (superagi/superagi)
    6. Open Interpreter (OpenInterpreter/OpenInterpreter)
    7. RabbitMQ
    8. Apache Kafka

    AI recommended 8 alternatives but never named OpenBMB/IoA. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What framework allows different AI agents to communicate and form teams across environments?
    you: not recommended
    AI recommended (in order):
    1. AutoGen
    2. LangChain
    3. CrewAI
    4. Haystack
    5. Mirasol
    6. PettingZoo

    AI recommended 6 alternatives but never named OpenBMB/IoA. 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 OpenBMB/IoA?
    pass
    AI named OpenBMB/IoA explicitly

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

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

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

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OpenBMB/IoA — 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