RRepoGEO

REPOGEO REPORT · LITE

shacklettbp/madrona

Default branch main · commit 86457089 · scanned 6/23/2026, 2:18:23 AM

GitHub: 501 stars · 51 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 shacklettbp/madrona, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition README's opening sentence to emphasize simulation for AI/RL

    Why:

    CURRENT
    Madrona is a prototype game engine for creating high-throughput, GPU-accelerated simulators that run thousands of virtual environment instances, and generate *millions of aggregate simulation steps per second*, on a single GPU.
    COPY-PASTE FIX
    Madrona is a prototype GPU-accelerated simulation engine for creating high-throughput, batch simulation environments that run thousands of virtual instances, primarily for AI agent training (e.g., reinforcement learning), generating *millions of aggregate simulation steps per second* on a single GPU.
  • highabout#2
    Add a concise project description

    Why:

    COPY-PASTE FIX
    A GPU-accelerated simulation engine for high-throughput batch simulation, enabling thousands of virtual environment instances for AI agent training and reinforcement learning on a single GPU.

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 shacklettbp/madrona
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Unity
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Unity · recommended 1×
  2. Unreal Engine · recommended 1×
  3. Godot Engine · recommended 1×
  4. Stride Engine · recommended 1×
  5. Vulkan · recommended 1×
  • CATEGORY QUERY
    What is a good GPU-accelerated game engine for high-throughput batch simulation?
    you: not recommended
    AI recommended (in order):
    1. Unity
    2. Unreal Engine
    3. Godot Engine
    4. Stride Engine
    5. Vulkan
    6. DirectX 12
    7. bgfx
    8. Dear ImGui

    AI recommended 8 alternatives but never named shacklettbp/madrona. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a high-performance simulation environment for reinforcement learning with PyTorch integration.
    you: not recommended
    AI recommended (in order):
    1. Isaac Gym
    2. Isaac Sim
    3. Brax
    4. DeepMind Lab
    5. MuJoCo
    6. Unity ML-Agents
    7. Farama Gymnasium
    8. PyBullet
    9. dm_control

    AI recommended 9 alternatives but never named shacklettbp/madrona. 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 shacklettbp/madrona?
    pass
    AI named shacklettbp/madrona explicitly

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

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

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

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite
shacklettbp/madrona — RepoGEO report