RRepoGEO

REPOGEO REPORT · LITE

OpenGalaxea/GalaxeaVLA

Default branch main · commit 718fa062 · scanned 6/20/2026, 8:27:58 PM

GitHub: 652 stars · 47 forks

AI VISIBILITY SCORE
35 /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
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 OpenGalaxea/GalaxeaVLA, 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
  • highabout#1
    Update the repository description to clarify "VLA" and its purpose

    Why:

    CURRENT
    Galaxea's open-source VLA repository
    COPY-PASTE FIX
    GalaxeaVLA: G0.5 Vision-Language-Action (VLA) model for zero-shot robotic control, simulation, and fine-tuning.
  • hightopics#2
    Add specific topics for Vision-Language-Action models and robotics

    Why:

    COPY-PASTE FIX
    vision-language-action, vla-model, robotics, robot-control, embodied-ai, large-language-model, llm-robotics, zero-shot-robotics, deep-learning
  • mediumreadme#3
    Add a clear statement about the project's license to the README

    Why:

    COPY-PASTE FIX
    This project is released under the terms specified in the [LICENSE](LICENSE) file. Please refer to the file for full details on usage and distribution.

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 OpenGalaxea/GalaxeaVLA
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenVLA
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenVLA · recommended 1×
  2. RT-X · recommended 1×
  3. Mobile ALOHA · recommended 1×
  4. RoboCat · recommended 1×
  5. BC-Z · recommended 1×
  • CATEGORY QUERY
    What are the best open-source vision language action models for robotic control?
    you: not recommended
    AI recommended (in order):
    1. OpenVLA
    2. RT-X
    3. Mobile ALOHA
    4. RoboCat
    5. BC-Z

    AI recommended 5 alternatives but never named OpenGalaxea/GalaxeaVLA. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I deploy and fine-tune a vision-language model for edge robotics applications?
    you: not recommended
    AI recommended (in order):
    1. OpenVINO Toolkit
    2. NVIDIA JetPack SDK with TensorRT
    3. ONNX Runtime
    4. PyTorch Mobile
    5. TensorFlow Lite
    6. Edge Impulse
    7. Hugging Face Transformers
    8. Hugging Face Optimum

    AI recommended 8 alternatives but never named OpenGalaxea/GalaxeaVLA. 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 OpenGalaxea/GalaxeaVLA?
    pass
    AI named OpenGalaxea/GalaxeaVLA explicitly

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

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

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

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MARKDOWN (README)
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OpenGalaxea/GalaxeaVLA — 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