RRepoGEO

REPOGEO REPORT · LITE

taco-group/OpenEMMA

Default branch main · commit 8403ea63 · scanned 6/7/2026, 4:48:12 PM

GitHub: 936 stars · 126 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 taco-group/OpenEMMA, 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
    Emphasize autonomous driving domain and recent activity in README's opening

    Why:

    CURRENT
    # OpenEMMA: Open-Source Multimodal Model for End-to-End Autonomous Driving
**OpenEMMA** is an open-source implementation of  Waymo's End-to-End Multimodal Model for Autonomous Driving (EMMA), offering an end-to-end framework for motion planning in autonomous vehicles. ...
### News
[2025/1/12]** 🔥**OpenEMMA** is now available as a PyPI package! ...
    COPY-PASTE FIX
    # OpenEMMA: Open-Source Multimodal Model for End-to-End Autonomous Driving

**About OpenEMMA:** This project provides an actively developed and maintained open-source implementation of Waymo's EMMA model, specifically designed for end-to-end motion planning in autonomous vehicles. We focus exclusively on autonomous driving research and applications.

### News
[2025/1/12]** 🔥**OpenEMMA** is now available as a PyPI package! You can install it using `pip install openemma`. 
[2024/12/19]** 🔥We released **OpenEMMA**, an open-source project for end-to-end motion planning in autonomous driving tasks. Explore our paper for mor

**OpenEMMA** is an open-source implementation of  Waymo's End-to-End Multimodal Model for Autonomous Driving (EMMA), offering an end-to-end framework for motion planning in autonomous vehicles. **OpenEMMA** leverages the pretrained world knowledge of Vision Language Models  (VLMs), such as GPT-4 and LLaVA, to integrate text and front-view camera inputs, enabling precise predictions of future ego waypoints and providing decision rationales. Our goal is to provide accessible tools for researchers and developers to advance autonomous driving research and applications.
  • mediumtopics#2
    Remove irrelevant 'networking' topic

    Why:

    CURRENT
    algorithms, artificial-intelligence, autonomous-car, autonomous-driving, autonomous-vehicles, autonomy, emma, generative-ai, large-lang, machine-learning, mllm, networking, open-emma, perception, transportation
    COPY-PASTE FIX
    algorithms, artificial-intelligence, autonomous-car, autonomous-driving, autonomous-vehicles, autonomy, emma, generative-ai, large-lang, machine-learning, mllm, open-emma, perception, transportation
  • lowcomparison#3
    Add a 'Comparison with Alternatives' section to README

    Why:

    COPY-PASTE FIX
    Add a new section to the README, for example, 'Comparison with Alternatives' or 'Why OpenEMMA?', that briefly explains how OpenEMMA differs from or complements projects like Autoware.Auto, Apollo, or CARLA, especially regarding its focus on VLM-based end-to-end motion planning and decision rationales.

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 taco-group/OpenEMMA
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Autoware.Auto
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Autoware.Auto · recommended 2×
  2. Apollo (Baidu Apollo) · recommended 1×
  3. ROS Navigation Stack · recommended 1×
  4. OpenPlanner · recommended 1×
  5. CARLA · recommended 1×
  • CATEGORY QUERY
    Seeking an open-source framework for end-to-end motion planning in autonomous vehicles.
    you: not recommended
    AI recommended (in order):
    1. Autoware.Auto
    2. Apollo (Baidu Apollo)
    3. ROS Navigation Stack
    4. OpenPlanner
    5. CARLA

    AI recommended 5 alternatives but never named taco-group/OpenEMMA. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to build autonomous driving systems using multimodal AI for decision-making and rationale generation?
    you: not recommended
    AI recommended (in order):
    1. NVIDIA DriveWorks
    2. NVIDIA Drive AGX Platform
    3. ROS 2
    4. Autoware.Auto
    5. PyTorch
    6. TensorFlow
    7. Keras
    8. Stable Baselines3
    9. Ray RLlib
    10. OpenCV
    11. CARLA Simulator
    12. Baidu Apollo

    AI recommended 12 alternatives but never named taco-group/OpenEMMA. 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 taco-group/OpenEMMA?
    pass
    AI named taco-group/OpenEMMA explicitly

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

  • If a team adopts taco-group/OpenEMMA in production, what risks or prerequisites should they evaluate first?
    pass
    AI named taco-group/OpenEMMA 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 taco-group/OpenEMMA solve, and who is the primary audience?
    pass
    AI named taco-group/OpenEMMA explicitly

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

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taco-group/OpenEMMA — 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