RRepoGEO

REPOGEO REPORT · LITE

wayveai/Driving-with-LLMs

Default branch main · commit fb323d6d · scanned 6/11/2026, 11:58:10 AM

GitHub: 576 stars · 50 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 wayveai/Driving-with-LLMs, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition the core value proposition to the top of the README

    Why:

    CURRENT
    https://github.com/user-attachments/assets/82a1993e-5948-4f5a-ad9b-849a21fe9a14
    
    This is the PyTorch implementation for inference and training of the LLM-Driver 
    described in:
    
    > **Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving**
    COPY-PASTE FIX
    The LLM-Driver utilises object-level vector input from our driving simulator to predict explanable actions using pretrained Language Models, providing a robust and interpretable solution for autonomous driving.
    
    This is the PyTorch implementation for inference and training of the LLM-Driver described in:
    
    > **Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving**
  • mediumhomepage#2
    Add the arXiv preprint link as the repository homepage

    Why:

    COPY-PASTE FIX
    https://arxiv.org/abs/2310.01957

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 wayveai/Driving-with-LLMs
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LlamaIndex
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LlamaIndex · recommended 1×
  2. OpenPCDet · recommended 1×
  3. MMDetection3D · recommended 1×
  4. Detectron2 · recommended 1×
  5. PyTorch Geometric · recommended 1×
  • CATEGORY QUERY
    How to integrate large language models for explainable decision-making in autonomous vehicles?
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex

    AI recommended 1 alternative but never named wayveai/Driving-with-LLMs. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    PyTorch framework for fusing object-level sensor data with LLMs in autonomous driving.
    you: not recommended
    AI recommended (in order):
    1. OpenPCDet
    2. MMDetection3D
    3. Detectron2
    4. PyTorch Geometric
    5. Hugging Face Transformers
    6. Lightning AI

    AI recommended 6 alternatives but never named wayveai/Driving-with-LLMs. 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 wayveai/Driving-with-LLMs?
    pass
    AI did not name wayveai/Driving-with-LLMs — 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 wayveai/Driving-with-LLMs in production, what risks or prerequisites should they evaluate first?
    pass
    AI named wayveai/Driving-with-LLMs 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 wayveai/Driving-with-LLMs solve, and who is the primary audience?
    pass
    AI did not name wayveai/Driving-with-LLMs — 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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wayveai/Driving-with-LLMs — 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