RRepoGEO

REPOGEO REPORT · LITE

instadeepai/jumanji

Default branch main · commit 9b0997ef · scanned 5/28/2026, 7:11:44 AM

GitHub: 835 stars · 95 forks

AI VISIBILITY SCORE
68 /100
Needs work
Category recall
1 / 2
Avg rank #3.0 when recommended
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 instadeepai/jumanji, 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 explicitly mention JAX agent compatibility

    Why:

    CURRENT
    Welcome to the Jungle! 🌴
Jumanji is a diverse suite of scalable reinforcement learning environments written in JAX. It now features 22 environments!
    COPY-PASTE FIX
    Welcome to the Jungle! 🌴
Jumanji is a diverse suite of scalable reinforcement learning environments written in JAX, designed for seamless integration with JAX-based agents and research. It now features 22 environments!
  • mediumtopics#2
    Add more specific topics related to RL environments and JAX agents

    Why:

    CURRENT
    jax, python, reinforcement-learning, research
    COPY-PASTE FIX
    jax, python, reinforcement-learning, research, rl-environments, jax-agents, deep-rl
  • lowabout#3
    Refine repository description to include JAX agent focus

    Why:

    CURRENT
    🕹️ A diverse suite of scalable reinforcement learning environments in JAX
    COPY-PASTE FIX
    🕹️ A diverse suite of scalable reinforcement learning environments in JAX, designed for JAX-based agents and research.

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
1 / 2
50% of queries surface instadeepai/jumanji
Avg rank
#3.0
Lower is better. #1 = top recommendation.
Share of voice
6%
Of all named tools, what % are you?
Top rival
Brax
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Brax · recommended 1×
  2. Gymnasium · recommended 1×
  3. Minigrid · recommended 1×
  4. Acme · recommended 1×
  5. OpenSpiel · recommended 1×
  • CATEGORY QUERY
    What are good scalable reinforcement learning environments for research using JAX?
    you: #3
    AI recommended (in order):
    1. Brax
    2. Gymnasium
    3. Jumanji ← you
    4. Minigrid
    5. Acme
    6. OpenSpiel
    7. dm_control
    8. PlaNet
    9. Dreamer
    Show full AI answer
  • CATEGORY QUERY
    Looking for a diverse collection of reinforcement learning environments compatible with JAX agents.
    you: not recommended
    AI recommended (in order):
    1. Brax (google/brax)
    2. Gymnasium (Farama-Foundation/Gymnasium)
    3. MuJoCo
    4. rlax (deepmind/rlax)
    5. DM Control Suite (deepmind/dm_control)
    6. DM Lab (deepmind/dmlab)
    7. Minigrid (Farama-Foundation/Minigrid)
    8. Procgen Benchmark (openai/procgen)
    9. PettingZoo (Farama-Foundation/PettingZoo)

    AI recommended 9 alternatives but never named instadeepai/jumanji. 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 instadeepai/jumanji?
    pass
    AI named instadeepai/jumanji explicitly

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

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

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

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instadeepai/jumanji — 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