RRepoGEO

REPOGEO REPORT · LITE

metauto-ai/GPTSwarm

Default branch main · commit c23a827f · scanned 6/28/2026, 12:18:05 PM

GitHub: 1,017 stars · 101 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)

3 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 metauto-ai/GPTSwarm, 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 README opening to highlight unique value

    Why:

    CURRENT
    GPTSwarm is a graph-based framework for LLM-based agents, providing two high-level features:It lets you build LLM-based agents from graphs. * It enables the customized and automatic self-organization of agent swarms with self-improvement capabilities.
    COPY-PASTE FIX
    🐝 **GPTSwarm is the leading graph-based framework for building truly self-improving LLM agent swarms, leveraging Reinforcement Learning and advanced Prompting Optimization.** Unlike general LLM frameworks, GPTSwarm specializes in enabling customized, automatic self-organization and adaptive learning for complex multi-agent systems, making it ideal for researchers and developers pushing the boundaries of collective AI.
  • mediumcomparison#2
    Add a dedicated comparison section in README

    Why:

    COPY-PASTE FIX
    ## GPTSwarm vs. Other Frameworks
    
    While general LLM frameworks like LangChain and LlamaIndex provide foundational tools for building LLM applications, GPTSwarm is purpose-built for advanced multi-agent systems. We differentiate by focusing on:
    
    *   **Graph-based Agent Orchestration:** Design complex agent interactions with intuitive graph structures.
    *   **Self-Improving Swarms:** Integrate Reinforcement Learning and Prompting Optimization for adaptive agent performance.
    *   **True Swarm Intelligence:** Enable automatic self-organization and collective problem-solving beyond individual agent capabilities.
    
    This specialization makes GPTSwarm ideal for researchers and developers tackling complex, adaptive AI challenges that require true collective intelligence.
  • lowreadme#3
    Add a 'Who is this for?' section to README

    Why:

    COPY-PASTE FIX
    ## Who is GPTSwarm for?
    
    GPTSwarm is designed for AI developers and researchers focused on:
    
    *   Building advanced multi-agent systems.
    *   Exploring self-improving LLM agents.
    *   Applying reinforcement learning or prompting optimization techniques to agent swarms.
    *   Developing solutions that require decentralized, collaborative, and adaptive AI.

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 metauto-ai/GPTSwarm
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. AutoGPT · recommended 2×
  4. BabyAGI · recommended 1×
  5. OpenAI Function Calling · recommended 1×
  • CATEGORY QUERY
    How to build self-improving multi-agent systems using large language models?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. AutoGPT
    4. BabyAGI
    5. OpenAI Function Calling
    6. Google Gemini Function Calling
    7. Hugging Face Transformers Agents
    8. Ray
    9. Ray AIR
    10. Ray RLlib
    11. FastAPI
    12. Flask
    13. openai
    14. transformers

    AI recommended 14 alternatives but never named metauto-ai/GPTSwarm. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Python framework for creating adaptive LLM agents that learn and optimize?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. AutoGPT
    5. DSPy
    6. CrewAI

    AI recommended 6 alternatives but never named metauto-ai/GPTSwarm. 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 metauto-ai/GPTSwarm?
    pass
    AI named metauto-ai/GPTSwarm explicitly

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

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

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

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metauto-ai/GPTSwarm — RepoGEO report