RRepoGEO

REPOGEO REPORT · LITE

ucla-mobility/AutoVLA

Default branch main · commit ba34eed7 · scanned 6/12/2026, 8:43:36 AM

GitHub: 577 stars · 43 forks

AI VISIBILITY SCORE
33 /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
2 / 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 ucla-mobility/AutoVLA, 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 to clearly state AutoVLA's role as a framework/system

    Why:

    CURRENT
    [NeurIPS 2025] This is the official implementation of the paper:

**AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning**
    COPY-PASTE FIX
    AutoVLA is an open-source framework providing a Vision-Language-Action (VLA) model for end-to-end autonomous driving, featuring adaptive reasoning and reinforcement fine-tuning. This repository contains the official implementation of our NeurIPS 2025 paper.
  • mediumlicense#2
    Clarify the existing license in the README

    Why:

    COPY-PASTE FIX
    This project is licensed under [Specify License Name(s) here, e.g., 'a custom license' or 'Apache-2.0 and MIT']. See the LICENSE file for full details.
  • lowabout#3
    Refine the 'About' description to emphasize its role as a framework

    Why:

    CURRENT
    [NeurIPS 2025] AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning
    COPY-PASTE FIX
    AutoVLA is an open-source framework for end-to-end autonomous driving, implementing a Vision-Language-Action model with adaptive reasoning and reinforcement fine-tuning.

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 ucla-mobility/AutoVLA
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 1 of 2 queries
COMPETITOR LEADERBOARD
  1. pytorch/pytorch · recommended 1×
  2. tensorflow/tensorflow · recommended 1×
  3. google/jax · recommended 1×
  4. carla-simulator/carla · recommended 1×
  5. microsoft/airsim · recommended 1×
  • CATEGORY QUERY
    How to build an end-to-end autonomous driving system with adaptive reasoning capabilities?
    you: not recommended
    AI recommended (in order):
    1. PyTorch (pytorch/pytorch)
    2. TensorFlow (tensorflow/tensorflow)
    3. JAX (google/jax)
    4. CARLA Simulator (carla-simulator/carla)
    5. AirSim (microsoft/airsim)
    6. NVIDIA DRIVE Sim
    7. ROS (ros/ros)
    8. Apollo (ApolloAuto/apollo)
    9. RLlib (ray-project/ray)
    10. Stable Baselines3 (DLR-RM/stable-baselines3)
    11. FiftyOne (voxel51/fiftyone)
    12. Scale AI Platform
    13. CVAT (opencv/cvat)
    14. NVIDIA Jetson Platform
    15. TensorRT
    16. OpenVINO (openvinotoolkit/openvino)
    17. Pyro (pyro-ppl/pyro)
    18. Stan (stan-dev/stan)

    AI recommended 18 alternatives but never named ucla-mobility/AutoVLA. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What frameworks integrate vision-language models with reinforcement learning for vehicle control?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers
    2. CLIP
    3. BLIP-2
    4. Flamingo
    5. LLaVA
    6. Stable Baselines3
    7. RLlib
    8. OpenAI Gym
    9. Farama Gymnasium
    10. PyTorch
    11. TensorFlow
    12. CARLA Simulator
    13. Acme
    14. JAX
    15. AirSim
    16. Unreal Engine

    AI recommended 16 alternatives but never named ucla-mobility/AutoVLA. 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 ucla-mobility/AutoVLA?
    pass
    AI did not name ucla-mobility/AutoVLA — 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 ucla-mobility/AutoVLA in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ucla-mobility/AutoVLA 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 ucla-mobility/AutoVLA solve, and who is the primary audience?
    pass
    AI named ucla-mobility/AutoVLA explicitly

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

Embed your GEO score

Drop this badge into the README of ucla-mobility/AutoVLA. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/ucla-mobility/AutoVLA.svg)](https://repogeo.com/en/r/ucla-mobility/AutoVLA)
HTML
<a href="https://repogeo.com/en/r/ucla-mobility/AutoVLA"><img src="https://repogeo.com/badge/ucla-mobility/AutoVLA.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

ucla-mobility/AutoVLA — 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