RRepoGEO

REPOGEO REPORT · LITE

marsauto/europilot

Default branch master · commit 425dae5c · scanned 5/24/2026, 4:03:17 PM

GitHub: 1,514 stars · 184 forks

AI VISIBILITY SCORE
35 /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
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 marsauto/europilot, 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's opening statement for clarity

    Why:

    CURRENT
    Europilot is an open source project that leverages the popular Euro Truck Simulator(ETS2) to develop self-driving algorithms.
    COPY-PASTE FIX
    Europilot is an open-source **toolkit** that leverages the popular **Euro Truck Simulator 2 (ETS2)** to develop and test **end-to-end self-driving algorithms** within a realistic game environment. It acts as a bridge between ETS2 and deep-learning frameworks like Keras or TensorFlow, enabling researchers to capture game input and programmatically control the truck.
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    ets2, euro-truck-simulator-2, self-driving, autonomous-driving, deep-learning, reinforcement-learning, simulation, game-ai, python, machine-learning, computer-vision, adas-research
  • mediumhomepage#3
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://github.com/marsauto/europilot

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 marsauto/europilot
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. NVIDIA DRIVE Sim · recommended 1×
  4. lgsvl/simulator · recommended 1×
  5. udacity/self-driving-car-sim · recommended 1×
  • CATEGORY QUERY
    How to use a driving simulator environment for training autonomous vehicle deep learning models?
    you: not recommended
    AI recommended (in order):
    1. CARLA (carla-simulator/carla)
    2. AirSim (microsoft/airsim)
    3. NVIDIA DRIVE Sim
    4. LGSVL Simulator (lgsvl/simulator)
    5. DeepMotion (udacity/self-driving-car-sim)
    6. Gazebo (osrf/gazebo)
    7. BeamNG.tech

    AI recommended 7 alternatives but never named marsauto/europilot. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Toolkit for programmatically controlling vehicle actions within a truck simulation game?
    you: not recommended
    AI recommended (in order):
    1. SCS Software SDK
    2. SimConnect
    3. OpenCV
    4. PyAutoGUI
    5. AutoIt
    6. Cheat Engine
    7. Pymem

    AI recommended 7 alternatives but never named marsauto/europilot. 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 marsauto/europilot?
    pass
    AI named marsauto/europilot explicitly

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

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

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

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marsauto/europilot — 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