RRepoGEO

REPOGEO REPORT · LITE

erdos-project/pylot

Default branch master · commit a71ae927 · scanned 6/2/2026, 9:03:03 AM

GitHub: 533 stars · 139 forks

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 erdos-project/pylot, 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
    Strengthen README opening to clarify platform vs. simulator and highlight unique architecture

    Why:

    CURRENT
    Pylot is an autonomous vehicle platform for developing and testing autonomous vehicle components (e.g., perception, prediction, planning) on the CARLA simulator and real-world cars.
    COPY-PASTE FIX
    Pylot is an open-source, real-time autonomous vehicle platform for developing and testing perception, prediction, and planning components. It leverages the CARLA simulator and can be deployed on real-world vehicles, offering a stream-based dataflow execution model for robust development.
  • mediumcomparison#2
    Add a 'Comparison with Alternatives' section to README

    Why:

    COPY-PASTE FIX
    Add a new section titled 'Comparison with Alternatives' or 'Why Pylot?' that briefly outlines how Pylot's real-time, stream-based dataflow execution model on Erdos differentiates it from other autonomous driving platforms like Autoware.Auto, Apollo, or ROS-based systems, especially regarding modularity, performance, and research focus.
  • lowtopics#3
    Add 'dataflow' and 'real-time' to topics

    Why:

    CURRENT
    autonomous-driving, autonomous-vehicles, carla, carla-simulator, control, lane-detection, machine-learning, obstacle-tracking, perception, planning, prediction, self-driving-car, traffic-light-detection
    COPY-PASTE FIX
    autonomous-driving, autonomous-vehicles, carla, carla-simulator, control, dataflow, lane-detection, machine-learning, obstacle-tracking, perception, planning, prediction, real-time, self-driving-car, traffic-light-detection

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 erdos-project/pylot
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. NVIDIA DRIVE Sim · recommended 1×
  3. Applied Intuition · recommended 1×
  4. microsoft/airsim · recommended 1×
  5. rFpro · recommended 1×
  • CATEGORY QUERY
    How to develop and test autonomous vehicle components using a driving simulator?
    you: not recommended
    AI recommended (in order):
    1. CARLA (carla-simulator/carla)
    2. NVIDIA DRIVE Sim
    3. Applied Intuition
    4. AirSim (microsoft/airsim)
    5. rFpro
    6. IPG Automotive CarMaker
    7. Vires VTD

    AI recommended 7 alternatives but never named erdos-project/pylot. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What open-source platforms enable research in self-driving car perception and planning modules?
    you: not recommended
    AI recommended (in order):
    1. Autoware.Auto
    2. Apollo (Baidu Apollo)
    3. OpenPilot (Comma.ai)
    4. CARLA Simulator
    5. ROS (Robot Operating System)
    6. perception_pcl
    7. image_pipeline
    8. navigation2

    AI recommended 8 alternatives but never named erdos-project/pylot. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • 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 erdos-project/pylot?
    pass
    AI named erdos-project/pylot explicitly

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

  • If a team adopts erdos-project/pylot in production, what risks or prerequisites should they evaluate first?
    pass
    AI named erdos-project/pylot 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 erdos-project/pylot solve, and who is the primary audience?
    pass
    AI named erdos-project/pylot 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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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite