RRepoGEO

REPOGEO REPORT · LITE

edbeeching/godot_rl_agents

Default branch main · commit 207b6f47 · scanned 6/26/2026, 5:06:49 AM

GitHub: 1,513 stars · 112 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 README opening to emphasize comprehensive Godot RL framework

    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 framework** for seamlessly integrating and training reinforcement learning agents directly within the Godot Engine. It empowers video game creators, AI researchers, and hobbyists to develop complex, intelligent behaviors for their Non-Player Characters (NPCs) and agents using popular Python RL libraries.
  • hightopics#2
    Expand topics to include game AI and development terms

    Why:

    CURRENT
    godot, reinforcement-learning, simulation
    COPY-PASTE FIX
    godot, reinforcement-learning, simulation, game-ai, game-development, godot-engine, machine-learning-agents
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    [Insert relevant project website or documentation URL here, e.g., a dedicated project page or the documentation site]

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
Godot Gym
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Godot Gym · recommended 1×
  2. gRPC · recommended 1×
  3. WebSocket · recommended 1×
  4. TCP/UDP Sockets · recommended 1×
  5. File-Based Communication · recommended 1×
  • CATEGORY QUERY
    How to integrate reinforcement learning models with Godot game engine for NPC behaviors?
    you: not recommended
    AI recommended (in order):
    1. Godot Gym
    2. gRPC
    3. WebSocket
    4. TCP/UDP Sockets
    5. File-Based Communication

    AI recommended 5 alternatives but never named edbeeching/godot_rl_agents. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help train game AI agents using popular reinforcement learning frameworks?
    you: not recommended
    AI recommended (in order):
    1. Unity ML-Agents Toolkit (Unity-Technologies/ml-agents)
    2. Gymnasium (Farama-Foundation/Gymnasium)
    3. Stable Baselines3 (DLR-RM/stable-baselines3)
    4. Ray RLlib (ray-project/ray)
    5. Minigrid (Farama-Foundation/Minigrid)
    6. DeepMind Lab (deepmind/lab)

    AI recommended 6 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