RRepoGEO

REPOGEO REPORT · LITE

robotlearning123/awesome-isaac-gym

Default branch main · commit 2dfded14 · scanned 6/5/2026, 12:38:27 AM

GitHub: 778 stars · 0 forks

AI VISIBILITY SCORE
22 /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
1 / 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 robotlearning123/awesome-isaac-gym, 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
  • hightopics#1
    Add `awesome-list` topic for better categorization

    Why:

    CURRENT
    isaac-gym, openai-gym, reinforcement-learning, robot-learning, robotics
    COPY-PASTE FIX
    isaac-gym, openai-gym, reinforcement-learning, robot-learning, robotics, awesome-list
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file (e.g., MIT or Apache-2.0) in the repository root.
  • mediumhomepage#3
    Add a homepage URL to the repository settings

    Why:

    COPY-PASTE FIX
    Set the repository homepage URL in the GitHub settings (e.g., to the repo URL itself if no external site exists, or a relevant project page).

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 robotlearning123/awesome-isaac-gym
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
deepmind/mujoco
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. deepmind/mujoco · recommended 2×
  2. NVIDIA Isaac Sim · recommended 1×
  3. bulletphysics/pybullet · recommended 1×
  4. robosuite/robosuite · recommended 1×
  5. osrf/gazebo · recommended 1×
  • CATEGORY QUERY
    What are good GPU-accelerated physics simulation environments for robotic reinforcement learning research?
    you: not recommended
    AI recommended (in order):
    1. NVIDIA Isaac Sim
    2. MuJoCo (deepmind/mujoco)
    3. PyBullet (bulletphysics/pybullet)
    4. RoboSuite (robosuite/robosuite)
    5. Gazebo (osrf/gazebo)

    AI recommended 5 alternatives but never named robotlearning123/awesome-isaac-gym. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find frameworks and learning materials for high-performance robot control simulation?
    you: not recommended
    AI recommended (in order):
    1. Isaac Sim
    2. Gazebo
    3. MuJoCo (deepmind/mujoco)
    4. Webots
    5. CoppeliaSim
    6. ROS 2

    AI recommended 6 alternatives but never named robotlearning123/awesome-isaac-gym. 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 robotlearning123/awesome-isaac-gym?
    pass
    AI did not name robotlearning123/awesome-isaac-gym — 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 robotlearning123/awesome-isaac-gym in production, what risks or prerequisites should they evaluate first?
    pass
    AI named robotlearning123/awesome-isaac-gym 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 robotlearning123/awesome-isaac-gym solve, and who is the primary audience?
    pass
    AI did not name robotlearning123/awesome-isaac-gym — 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?

Embed your GEO score

Drop this badge into the README of robotlearning123/awesome-isaac-gym. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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robotlearning123/awesome-isaac-gym — 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