RRepoGEO

REPOGEO REPORT · LITE

edbeeching/godot_rl_agents

Default branch main · commit a5dc210c · scanned 5/15/2026, 12:56:51 PM

GitHub: 1,478 stars · 109 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 edbeeching/godot_rl_agents, 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 the README's opening sentence to emphasize Godot-specific RL integration

    Why:

    CURRENT
    Godot RL Agents is a fully Open Source package that allows video game creators, AI researchers and hobbyists the opportunity to learn complex behaviors for their Non Player Characters or agents.
    COPY-PASTE FIX
    Godot RL Agents is the leading open-source solution for integrating advanced Python reinforcement learning algorithms directly into Godot Engine games, enabling creators and researchers to train complex AI behaviors for NPCs.
  • mediumhomepage#2
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    Add the official project website or documentation URL (e.g., 'https://godot-rl-agents.readthedocs.io' or similar) to the repository's homepage field.
  • lowtopics#3
    Expand repository topics to include more specific game AI and ML terms

    Why:

    CURRENT
    godot, reinforcement-learning, simulation
    COPY-PASTE FIX
    godot, reinforcement-learning, simulation, game-ai, machine-learning-for-games, game-development

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 edbeeching/godot_rl_agents
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GDNative
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GDNative · recommended 1×
  2. GDExtension · recommended 1×
  3. TensorFlow · recommended 1×
  4. PyTorch · recommended 1×
  5. scikit-learn · recommended 1×
  • CATEGORY QUERY
    How to implement advanced AI behaviors for NPCs in Godot games using machine learning?
    you: not recommended
    AI recommended (in order):
    1. GDNative
    2. GDExtension
    3. TensorFlow
    4. PyTorch
    5. scikit-learn
    6. Godot Reinforcement Learning (GodotRL)
    7. Stable Baselines3
    8. ONNX
    9. ONNX Runtime
    10. ML.NET
    11. TensorFlow Lite for Microcontrollers

    AI recommended 11 alternatives but never named edbeeching/godot_rl_agents. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for an open-source solution to integrate Python reinforcement learning with game engines.
    you: not recommended
    AI recommended (in order):
    1. Unity ML-Agents (Unity-Technologies/ml-agents)
    2. Gymnasium (formerly OpenAI Gym) (Farama-Foundation/Gymnasium)
    3. Godot-RL-Agent (mfps/godot-rl-agents)
    4. DeepMind Lab (deepmind/lab)
    5. Minigrid (Farama-Foundation/Minigrid)

    AI recommended 5 alternatives but never named edbeeching/godot_rl_agents. 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 edbeeching/godot_rl_agents?
    pass
    AI did not name edbeeching/godot_rl_agents — 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 edbeeching/godot_rl_agents in production, what risks or prerequisites should they evaluate first?
    pass
    AI named edbeeching/godot_rl_agents 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 edbeeching/godot_rl_agents solve, and who is the primary audience?
    pass
    AI named edbeeching/godot_rl_agents explicitly

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

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edbeeching/godot_rl_agents — 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