RRepoGEO

REPOGEO REPORT · LITE

daveshap/OpenAI_Agent_Swarm

Default branch main · commit 020b44e2 · scanned 5/26/2026, 12:52:46 AM

GitHub: 3,098 stars · 394 forks

AI VISIBILITY SCORE
28 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
2 / 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 daveshap/OpenAI_Agent_Swarm, 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
    Refine the repository description for clarity and specificity

    Why:

    CURRENT
    HAAS = Hierarchical Autonomous Agent Swarm - "Resistance is futile!"
    COPY-PASTE FIX
    HAAS: A Hierarchical Autonomous Agent Swarm framework for orchestrating advanced OpenAI agents to solve complex problems.
  • mediumtopics#2
    Add more specific topics to improve categorization

    Why:

    CURRENT
    ["agent", "autonomous", "swarm"]
    COPY-PASTE FIX
    ["agent", "autonomous", "swarm", "openai", "agent-orchestration", "ai-framework", "multi-agent-system"]
  • lowhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://discord.gg/mJKUYNm8qY

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 daveshap/OpenAI_Agent_Swarm
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 2 of 2 queries
COMPETITOR LEADERBOARD
  1. langchain-ai/langchain · recommended 2×
  2. AutoGPT / BabyAGI · recommended 1×
  3. joaomdmoura/crewai · recommended 1×
  4. microsoft/autogen · recommended 1×
  5. deepset-ai/haystack · recommended 1×
  • CATEGORY QUERY
    How can I build a self-directing system using multiple AI agents?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. AutoGPT / BabyAGI
    3. CrewAI (joaomdmoura/crewai)
    4. Microsoft AutoGen (microsoft/autogen)
    5. Haystack (deepset-ai/haystack)
    6. LlamaIndex (run-llama/llama_index)
    7. OpenAI Assistants API

    AI recommended 7 alternatives but never named daveshap/OpenAI_Agent_Swarm. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What framework helps orchestrate fully autonomous AI agents for complex tasks?
    you: not recommended
    AI recommended (in order):
    1. AutoGPT (Significant-Gravitas/AutoGPT)
    2. LangChain (langchain-ai/langchain)
    3. CrewAI (joaomdmoura/crewAI)
    4. MetaGPT (geekan-ai/MetaGPT)
    5. GPT Engineer (AntonOsika/gpt-engineer)
    6. BabyAGI (yoheinakajima/babyagi)

    AI recommended 6 alternatives but never named daveshap/OpenAI_Agent_Swarm. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    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 daveshap/OpenAI_Agent_Swarm?
    pass
    AI named daveshap/OpenAI_Agent_Swarm explicitly

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

  • If a team adopts daveshap/OpenAI_Agent_Swarm in production, what risks or prerequisites should they evaluate first?
    pass
    AI named daveshap/OpenAI_Agent_Swarm 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 daveshap/OpenAI_Agent_Swarm solve, and who is the primary audience?
    pass
    AI did not name daveshap/OpenAI_Agent_Swarm — 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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daveshap/OpenAI_Agent_Swarm — 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