RRepoGEO

REPOGEO REPORT · LITE

PJLab-ADG/awesome-knowledge-driven-AD

Default branch main · commit 2e8bbf37 · scanned 6/15/2026, 2:37:56 PM

GitHub: 501 stars · 22 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 PJLab-ADG/awesome-knowledge-driven-AD, 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
    Clarify the README's opening to emphasize it's a curated list

    Why:

    CURRENT
    Here is a collection of research papers and the relevant valuable open-source resources for **awesome knowledge-driven autonomous driving (AD)**.
    COPY-PASTE FIX
    This repository is a **curated, awesome list** of research papers and valuable open-source resources specifically for **knowledge-driven autonomous driving (AD)**. It serves as a continuously updated tracker for the frontier of this field.
  • hightopics#2
    Add 'awesome-list' and 'curated-list' topics

    Why:

    CURRENT
    autonomous-driving, knowledge-driven, large-language-models, vision-language-model
    COPY-PASTE FIX
    autonomous-driving, knowledge-driven, large-language-models, vision-language-model, awesome-list, curated-list
  • mediumhomepage#3
    Add the associated arXiv paper as the homepage link

    Why:

    COPY-PASTE FIX
    https://arxiv.org/abs/2312.04316

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 PJLab-ADG/awesome-knowledge-driven-AD
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
pytorch/pytorch
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. pytorch/pytorch · recommended 2×
  2. tensorflow/tensorflow · recommended 2×
  3. arXiv.org · recommended 1×
  4. IEEE Xplore Digital Library · recommended 1×
  5. ACM Digital Library · recommended 1×
  • CATEGORY QUERY
    Where can I find research papers and open-source tools for knowledge-driven autonomous driving?
    you: not recommended
    AI recommended (in order):
    1. arXiv.org
    2. IEEE Xplore Digital Library
    3. ACM Digital Library
    4. Google Scholar
    5. Semantic Scholar
    6. ResearchGate
    7. Academia.edu
    8. ROS
    9. Autoware.AI (autowarefoundation/autoware.ai)
    10. Autoware.Auto (autowarefoundation/autoware.auto)
    11. Apollo (ApolloAuto/apollo)
    12. OpenCV (opencv/opencv)
    13. PyTorch (pytorch/pytorch)
    14. TensorFlow (tensorflow/tensorflow)
    15. Pytorch Geometric (pyg-team/pytorch_geometric)
    16. DGL (dmlc/dgl)
    17. OpenStreetMap
    18. Lanelet2 (fzi-forschungszentrum-informatik/Lanelet2)

    AI recommended 18 alternatives but never named PJLab-ADG/awesome-knowledge-driven-AD. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for resources on applying large language models and vision models to autonomous driving.
    you: not recommended
    AI recommended (in order):
    1. DriveGPT4
    2. LAV
    3. nuScenes (nutonomy/nuscenes-devkit)
    4. CARLA Simulator (carla-simulator/carla)
    5. OpenPilot (commaai/openpilot)
    6. Hugging Face Transformers library (huggingface/transformers)
    7. GPT-3.5
    8. Llama 2
    9. BERT
    10. PyTorch (pytorch/pytorch)
    11. TensorFlow (tensorflow/tensorflow)
    12. YOLOv8 (ultralytics/ultralytics)
    13. DETR (facebookresearch/detr)
    14. Mask R-CNN (facebookresearch/maskrcnn-benchmark)

    AI recommended 14 alternatives but never named PJLab-ADG/awesome-knowledge-driven-AD. 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 PJLab-ADG/awesome-knowledge-driven-AD?
    pass
    AI did not name PJLab-ADG/awesome-knowledge-driven-AD — 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 PJLab-ADG/awesome-knowledge-driven-AD in production, what risks or prerequisites should they evaluate first?
    pass
    AI named PJLab-ADG/awesome-knowledge-driven-AD 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 PJLab-ADG/awesome-knowledge-driven-AD solve, and who is the primary audience?
    pass
    AI did not name PJLab-ADG/awesome-knowledge-driven-AD — 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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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite