RRepoGEO

REPOGEO REPORT · LITE

Amin-Tgz/awesome-CARLA

Default branch master · commit 80b006d9 · scanned 6/5/2026, 12:47:50 AM

GitHub: 917 stars · 130 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 Amin-Tgz/awesome-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
  • highabout#1
    Update 'About' description to clarify repo's identity

    Why:

    CURRENT
    👉 CARLA resources such as tutorial, blog, code and etc https://github.com/carla-simulator/carla
    COPY-PASTE FIX
    A curated list of awesome CARLA tutorials, blogs, code, and related projects for autonomous driving simulation.
  • highreadme#2
    Strengthen README's opening sentence to emphasize unique value

    Why:

    CURRENT
    A curated list of awesome CARLA tutorials, blogs, and related projects.
    COPY-PASTE FIX
    The definitive curated list of awesome CARLA tutorials, blogs, code, and related projects for autonomous driving simulation development.
  • mediumhomepage#3
    Add homepage link to repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/Amin-Tgz/awesome-CARLA

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 Amin-Tgz/awesome-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 1 of 2 queries
COMPETITOR LEADERBOARD
  1. carla-simulator/carla · recommended 1×
  2. microsoft/airsim · recommended 1×
  3. ApolloAuto/apollo · recommended 1×
  4. NVIDIA DriveSim · recommended 1×
  5. AWS RoboMaker · recommended 1×
  • CATEGORY QUERY
    Where can I find tutorials and code examples for autonomous vehicle simulation development?
    you: not recommended
    AI recommended (in order):
    1. CARLA Simulator (carla-simulator/carla)
    2. AirSim (microsoft/airsim)
    3. Apollo (ApolloAuto/apollo)
    4. NVIDIA DriveSim
    5. AWS RoboMaker
    6. Gazebo (osrf/gazebo)
    7. Unity
    8. Unreal Engine

    AI recommended 8 alternatives but never named Amin-Tgz/awesome-CARLA. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good resources for deep learning and reinforcement learning in self-driving car simulators?
    you: not recommended
    AI recommended (in order):
    1. CARLA Simulator
    2. AirSim
    3. Udacity Self-Driving Car Simulator
    4. Gym-Duckietown
    5. DeepMind Lab
    6. TORCS
    7. Grand Theft Auto V

    AI recommended 7 alternatives but never named Amin-Tgz/awesome-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 Amin-Tgz/awesome-CARLA?
    pass
    AI did not name Amin-Tgz/awesome-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 Amin-Tgz/awesome-CARLA in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Amin-Tgz/awesome-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 Amin-Tgz/awesome-CARLA solve, and who is the primary audience?
    pass
    AI named Amin-Tgz/awesome-CARLA explicitly

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

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MARKDOWN (README)
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Amin-Tgz/awesome-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
Amin-Tgz/awesome-CARLA — RepoGEO report