RRepoGEO

REPOGEO REPORT · LITE

D2I-CUHKSZ/MicroWorld

Default branch main · commit b6fb9931 · scanned 6/17/2026, 5:48:10 AM

GitHub: 522 stars · 49 forks

AI VISIBILITY SCORE
35 /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
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 D2I-CUHKSZ/MicroWorld, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highabout#1
    Add a concise 'About' description

    Why:

    COPY-PASTE FIX
    A lightweight system for turning multi-modal event materials (documents, images, videos) into structured graphs, agent populations, and inspectable social simulations for analysis.
  • highreadme#2
    Reposition the README's initial statement for clarity

    Why:

    CURRENT
    ### Multi-modal event analysis and social simulation✨

**A lightweight system for turning event materials into structured graphs, agent populations, and inspectable social simulations.**
    COPY-PASTE FIX
    # MicroWorld: A Lightweight System for Multi-modal Event Analysis and Social Simulation

MicroWorld is a system designed to turn raw event materials (documents, images, videos, and graph-ready context) into structured graphs, agent populations, and inspectable social simulations. It enables detailed analysis of social interactions and event dynamics.

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 D2I-CUHKSZ/MicroWorld
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Python
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Python · recommended 1×
  2. NumPy · recommended 1×
  3. Pandas · recommended 1×
  4. SciPy · recommended 1×
  5. scikit-learn · recommended 1×
  • CATEGORY QUERY
    How to analyze multi-modal event data and simulate social interactions with AI agents?
    you: not recommended
    AI recommended (in order):
    1. Python
    2. NumPy
    3. Pandas
    4. SciPy
    5. scikit-learn
    6. spaCy
    7. NLTK
    8. OpenCV
    9. LibROSA
    10. Hugging Face Transformers
    11. PyTorch
    12. TensorFlow
    13. Unity
    14. Unreal Engine
    15. ML-Agents
    16. Project Malmo
    17. Mesa
    18. OpenAI Gym
    19. Farama Foundation Gymnasium
    20. TensorBoard
    21. Weights & Biases (W&B)
    22. Docker
    23. Kubernetes

    AI recommended 23 alternatives but never named D2I-CUHKSZ/MicroWorld. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool to build event graphs from various unstructured data and run agent simulations?
    you: not recommended
    AI recommended (in order):
    1. Anylogic
    2. NetLogo
    3. GAMA Platform
    4. spaCy (explosion/spaCy)
    5. NLTK (nltk/nltk)
    6. NetworkX (networkx/networkx)
    7. Mesa (projectmesa/mesa)
    8. tidytext (dgrtwo/tidytext)
    9. quanteda (quanteda/quanteda)
    10. igraph (igraph/igraph)
    11. NetSim
    12. Repast Simphony (Repast/RepastSimphony)
    13. Apache OpenNLP (apache/opennlp)
    14. Stanford CoreNLP (stanfordnlp/CoreNLP)

    AI recommended 14 alternatives but never named D2I-CUHKSZ/MicroWorld. 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 D2I-CUHKSZ/MicroWorld?
    pass
    AI named D2I-CUHKSZ/MicroWorld explicitly

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

  • If a team adopts D2I-CUHKSZ/MicroWorld in production, what risks or prerequisites should they evaluate first?
    pass
    AI named D2I-CUHKSZ/MicroWorld 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 D2I-CUHKSZ/MicroWorld solve, and who is the primary audience?
    pass
    AI named D2I-CUHKSZ/MicroWorld explicitly

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

Embed your GEO score

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MARKDOWN (README)
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  • Brand-free category queries5 vs 2 in Lite
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D2I-CUHKSZ/MicroWorld — RepoGEO report