RRepoGEO

REPOGEO REPORT · LITE

manfreddiaz/awesome-autonomous-vehicles

Default branch master · commit 157237d2 · scanned 5/24/2026, 5:03:20 AM

GitHub: 2,375 stars · 601 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 manfreddiaz/awesome-autonomous-vehicles, 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
  • highlicense#1
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the root of the repository with the MIT License text.
  • hightopics#2
    Add 'awesome-list' topic to improve categorization

    Why:

    CURRENT
    autonomous-cars, autonomous-vehicles, car-driving, computer-vision, deep-learning
    COPY-PASTE FIX
    autonomous-cars, autonomous-vehicles, car-driving, computer-vision, deep-learning, awesome-list
  • mediumreadme#3
    Strengthen README's opening to highlight unique value as a comprehensive list

    Why:

    CURRENT
    A curated list of awesome autonomous vehicles resources, inspired by awesome-php.
    COPY-PASTE FIX
    A comprehensive and curated list of awesome autonomous vehicles resources, inspired by awesome-php. This list offers an exceptionally broad and holistic scope, covering technical foundations, hardware, software frameworks, companies, courses, and community resources for anyone interested in autonomous vehicles.

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 manfreddiaz/awesome-autonomous-vehicles
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ROS (Robot Operating System)
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. ROS (Robot Operating System) · recommended 2×
  2. Autonomous Driving: From Perception to Motion Planning to Control · recommended 1×
  3. Udacity's Self-Driving Car Engineer Nanodegree · recommended 1×
  4. Probabilistic Robotics · recommended 1×
  5. ApolloAuto/apollo · recommended 1×
  • CATEGORY QUERY
    Looking for a curated list of resources to understand autonomous vehicle development foundations.
    you: not recommended
    AI recommended (in order):
    1. Autonomous Driving: From Perception to Motion Planning to Control
    2. Udacity's Self-Driving Car Engineer Nanodegree
    3. Probabilistic Robotics
    4. ROS (Robot Operating System)
    5. Apollo Auto Open Platform (ApolloAuto/apollo)
    6. The Handbook of Robotics
    7. NVIDIA's DriveWorks SDK

    AI recommended 7 alternatives but never named manfreddiaz/awesome-autonomous-vehicles. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What open-source software and datasets are available for self-driving car research?
    you: not recommended
    AI recommended (in order):
    1. ROS (Robot Operating System)
    2. Autoware.AI
    3. Autoware.Auto
    4. OpenCV (Open Source Computer Vision Library)
    5. PCL (Point Cloud Library)
    6. CARLA Simulator
    7. Apollo (Baidu Apollo)
    8. nuScenes
    9. KITTI Vision Benchmark Suite
    10. Waymo Open Dataset
    11. Argoverse
    12. Cityscapes Dataset
    13. PandaSet

    AI recommended 13 alternatives but never named manfreddiaz/awesome-autonomous-vehicles. 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 manfreddiaz/awesome-autonomous-vehicles?
    pass
    AI did not name manfreddiaz/awesome-autonomous-vehicles — 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 manfreddiaz/awesome-autonomous-vehicles in production, what risks or prerequisites should they evaluate first?
    pass
    AI named manfreddiaz/awesome-autonomous-vehicles 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 manfreddiaz/awesome-autonomous-vehicles solve, and who is the primary audience?
    pass
    AI did not name manfreddiaz/awesome-autonomous-vehicles — 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

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manfreddiaz/awesome-autonomous-vehicles — 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