RRepoGEO

REPOGEO REPORT · LITE

AIScientists-Dev/WorldSeed

Default branch main · commit 4ffeabfd · scanned 6/4/2026, 4:42:42 PM

GitHub: 870 stars · 53 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 AIScientists-Dev/WorldSeed, 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
    Clarify WorldSeed's unique positioning in the 'What is WorldSeed?' section

    Why:

    CURRENT
    What is WorldSeed? Don't build a workflow. Seed a world. `rules + different agents + consequences -> emergence` Define roles, rules, private information, actions, and consequences. Then agents interact until useful artifacts emerge.
    COPY-PASTE FIX
    What is WorldSeed? WorldSeed is a **multi-agent world engine** for **emergent outcomes** from **LLM-powered agents**. Instead of building workflows or simple agent scripts, you seed a dynamic world where agents live, talk, compete, and ally. Define roles, rules, private information, actions, and consequences, then watch as complex behaviors and useful artifacts emerge from their interactions.
  • mediumcomparison#2
    Add a 'Why WorldSeed? / Comparison' section to the README

    Why:

    COPY-PASTE FIX
    ## Why WorldSeed? 

WorldSeed is a **multi-agent world engine** for emergent LLM-powered outcomes, distinct from other tools:

- **Not just an LLM framework (e.g., LangChain, AutoGen):** WorldSeed provides a complete, persistent world for agents to live and interact, fostering emergent behavior beyond simple workflows.
- **Not a generic simulator (e.g., Mesa, NetLogo):** Optimized for **LLM-powered agents**, WorldSeed focuses on complex social dynamics and emergent intelligence, not just rule-based simulations.
- **Not a single-agent optimizer (e.g., BabyAGI, Auto-GPT):** WorldSeed excels at collective, multi-agent interactions within a shared environment.
  • lowtopics#3
    Add `llm-simulation` to the repository topics

    Why:

    CURRENT
    agent-based-simulation, agentic-ai, agents, ai, ai-agents, autonomous-agents, emergent-behavior, game-ai, generative-agents, generative-ai, llm, llm-agents, multi-agent, multi-agent-systems, open-source, python, simulation, social-simulation, typescript, world-models
    COPY-PASTE FIX
    agent-based-simulation, agentic-ai, agents, ai, ai-agents, autonomous-agents, emergent-behavior, game-ai, generative-agents, generative-ai, llm, llm-agents, llm-simulation, multi-agent, multi-agent-systems, open-source, python, simulation, social-simulation, typescript, world-models

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 AIScientists-Dev/WorldSeed
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
projectmesa/mesa
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. projectmesa/mesa · recommended 1×
  2. NetLogo · recommended 1×
  3. Unity-Technologies/ml-agents · recommended 1×
  4. gama-platform/gama · recommended 1×
  5. Anylogic · recommended 1×
  • CATEGORY QUERY
    How to create a dynamic multi-agent simulation environment for emergent AI behavior?
    you: not recommended
    AI recommended (in order):
    1. Mesa (projectmesa/mesa)
    2. NetLogo
    3. Unity ML-Agents (Unity-Technologies/ml-agents)
    4. GAMA Platform (gama-platform/gama)
    5. Anylogic
    6. OpenAI Gym (openai/gym)
    7. Repast Simphony (Repast/RepastSimphony)

    AI recommended 7 alternatives but never named AIScientists-Dev/WorldSeed. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tools for building interactive social simulations with autonomous LLM-powered agents?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. AutoGen
    4. Mesa
    5. BabyAGI / Auto-GPT
    6. Unity/Unreal Engine

    AI recommended 6 alternatives but never named AIScientists-Dev/WorldSeed. 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 AIScientists-Dev/WorldSeed?
    pass
    AI named AIScientists-Dev/WorldSeed explicitly

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

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

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

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  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite