RRepoGEO

REPOGEO REPORT · LITE

cjy1992/gym-carla

Default branch master · commit c01ae77d · scanned 6/15/2026, 12:43:11 AM

GitHub: 619 stars · 120 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 cjy1992/gym-carla, 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 H1 to specify its category and purpose

    Why:

    CURRENT
    # gym-carla
    COPY-PASTE FIX
    # gym-carla: An OpenAI Gym Wrapper for CARLA Autonomous Driving Simulator
  • highreadme#2
    Strengthen the README's first descriptive sentence

    Why:

    CURRENT
    An OpenAI gym third party environment for CARLA simulator.
    COPY-PASTE FIX
    This repository provides a robust and standardized OpenAI Gym interface for the CARLA autonomous driving simulator, enabling researchers and developers to train reinforcement learning agents in a realistic simulated environment.
  • mediumtopics#3
    Add 'openai-gym' and 'gymnasium' to topics

    Why:

    CURRENT
    autonomous-driving, carla-simulator, deep-reinforcement-learning, imitation-learning, perception
    COPY-PASTE FIX
    autonomous-driving, carla-simulator, deep-reinforcement-learning, imitation-learning, perception, openai-gym, gymnasium, reinforcement-learning-environment

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 cjy1992/gym-carla
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
carla-simulator/carla
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. carla-simulator/carla · recommended 2×
  2. microsoft/airsim · recommended 2×
  3. Unity-Technologies/ml-agents · recommended 1×
  4. Farama-Foundation/Gymnasium · recommended 1×
  5. osrf/gazebo · recommended 1×
  • CATEGORY QUERY
    How can I integrate deep reinforcement learning algorithms with a realistic car simulation platform?
    you: not recommended
    AI recommended (in order):
    1. CARLA (carla-simulator/carla)
    2. AirSim (microsoft/airsim)
    3. Unity (Unity-Technologies/ml-agents)
    4. Gymnasium (Farama-Foundation/Gymnasium)
    5. Gazebo (osrf/gazebo)
    6. DeepDrive (deepdrive/deepdrive)

    AI recommended 6 alternatives but never named cjy1992/gym-carla. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good tools for developing and testing autonomous driving agents using an OpenAI Gym interface?
    you: not recommended
    AI recommended (in order):
    1. CARLA Simulator (carla-simulator/carla)
    2. AirSim (microsoft/airsim)
    3. Gym-Duckietown (duckietown/gym-duckietown)
    4. DeepMind Lab (deepmind/lab)
    5. Gym-Gazebo (erlerobot/gym-gazebo)
    6. PyBullet (bulletphysics/bullet3)

    AI recommended 6 alternatives but never named cjy1992/gym-carla. 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 cjy1992/gym-carla?
    pass
    AI did not name cjy1992/gym-carla — 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 cjy1992/gym-carla in production, what risks or prerequisites should they evaluate first?
    pass
    AI named cjy1992/gym-carla 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 cjy1992/gym-carla solve, and who is the primary audience?
    pass
    AI did not name cjy1992/gym-carla — 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?

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cjy1992/gym-carla — 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