RRepoGEO

REPOGEO REPORT · LITE

eyounx/VirtualTaobao

Default branch master · commit ff4f1cce · scanned 6/9/2026, 10:38:09 AM

GitHub: 533 stars · 97 forks

AI VISIBILITY SCORE
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 eyounx/VirtualTaobao, 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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    ["reinforcement-learning", "e-commerce", "recommendation-systems", "simulation", "openai-gym", "user-behavior", "data-driven"]
  • highreadme#2
    Strengthen the README's opening sentence to clarify its specific domain

    Why:

    CURRENT
    This project provides VirtualTaobao simulators trained from the real-data of Taobao, one of the largest online retail platforms.
    COPY-PASTE FIX
    This project provides VirtualTaobao, a suite of e-commerce simulators with an OpenAI Gym interface, trained from real Taobao data. It is designed for research in recommendation systems and reinforcement learning.
  • mediumhomepage#3
    Add the associated paper's URL as the repository homepage

    Why:

    COPY-PASTE FIX
    https://aaai.org/ojs/index.php/AAAI/article/view/4297

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 eyounx/VirtualTaobao
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Faker
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Faker · recommended 1×
  2. Mimesis · recommended 1×
  3. SimPy · recommended 1×
  4. AnyLogic · recommended 1×
  5. Surprise · recommended 1×
  • CATEGORY QUERY
    How to simulate e-commerce user behavior for developing better recommendation algorithms?
    you: not recommended
    AI recommended (in order):
    1. Faker
    2. Mimesis
    3. SimPy
    4. AnyLogic
    5. Surprise
    6. LightFM
    7. PostgreSQL
    8. MongoDB

    AI recommended 8 alternatives but never named eyounx/VirtualTaobao. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help train recommendation agents using reinforcement learning in a simulated environment?
    you: not recommended
    AI recommended (in order):
    1. Ray RLlib
    2. Gymnasium
    3. Stable Baselines3
    4. RecSim
    5. OpenSpiel
    6. TensorFlow Agents
    7. CleanRL
    8. Microsoft's Recommenders repository

    AI recommended 8 alternatives but never named eyounx/VirtualTaobao. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 eyounx/VirtualTaobao?
    pass
    AI named eyounx/VirtualTaobao explicitly

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

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