RRepoGEO

REPOGEO REPORT · LITE

dickreuter/neuron_poker

Default branch master · commit 242741ca · scanned 6/2/2026, 4:37:51 AM

GitHub: 722 stars · 197 forks

AI VISIBILITY SCORE
28 /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
2 / 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 dickreuter/neuron_poker, 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
    Strengthen the README's opening value proposition

    Why:

    CURRENT
    Neuron Poker: OpenAi gym environment for texas holdem poker This is an environment for training neural networks to play texas holdem. Please try to model your own players and create a pull request so we can collaborate and create the best possible player.
    COPY-PASTE FIX
    Neuron Poker: An OpenAI Gym environment for Texas Hold'em poker, designed for training neural networks with reinforcement learning. It uniquely integrates Keras-RL, offers virtual rendering, and features an optimized C++ Monte Carlo equity calculator for advanced AI research and development. Collaborate with us to build the best poker AI!
  • mediumhomepage#2
    Add a homepage URL to the repository's 'About' section

    Why:

    COPY-PASTE FIX
    Add a relevant URL (e.g., a project page, documentation, or even the GitHub repo URL itself if no other dedicated page exists) to the 'Homepage' field in the repository settings.
  • lowtopics#3
    Expand repository topics to include broader AI/ML terms

    Why:

    CURRENT
    gym-environment, holdem, neural-network, openai-gym, poker, pokerbot, reinforcement-learning
    COPY-PASTE FIX
    gym-environment, holdem, neural-network, openai-gym, poker, pokerbot, reinforcement-learning, machine-learning, artificial-intelligence, game-ai, deep-q-learning

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 dickreuter/neuron_poker
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenSpiel
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenSpiel · recommended 1×
  2. RLlib · recommended 1×
  3. DeepStack · recommended 1×
  4. Libratus · recommended 1×
  5. Kuhn Poker · recommended 1×
  • CATEGORY QUERY
    How to train an AI agent to play Texas Hold'em poker effectively?
    you: not recommended
    AI recommended (in order):
    1. OpenSpiel
    2. RLlib
    3. DeepStack
    4. Libratus
    5. Kuhn Poker
    6. PokerRL
    7. PyTorch
    8. TensorFlow
    9. Gymnasium

    AI recommended 9 alternatives but never named dickreuter/neuron_poker. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good reinforcement learning environments for developing poker bots?
    you: not recommended
    AI recommended (in order):
    1. OpenSpiel (deepmind/open_spiel)
    2. RLCard (DataResponsibly/RLCard)
    3. PokerRL (DarioSchippler/PokerRL)
    4. Gym-Poker (KiraPC/gym-poker)
    5. PyPokerEngine (ishikota/PyPokerEngine)

    AI recommended 5 alternatives but never named dickreuter/neuron_poker. 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 dickreuter/neuron_poker?
    pass
    AI did not name dickreuter/neuron_poker — likely talking about a different project

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

  • If a team adopts dickreuter/neuron_poker in production, what risks or prerequisites should they evaluate first?
    pass
    AI named dickreuter/neuron_poker 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 dickreuter/neuron_poker solve, and who is the primary audience?
    pass
    AI named dickreuter/neuron_poker 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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  • Brand-free category queries5 vs 2 in Lite
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