RRepoGEO

REPOGEO REPORT · LITE

dexmal/dexbotic

Default branch main · commit 7a4d2ee4 · scanned 5/15/2026, 8:02:30 AM

GitHub: 1,035 stars · 88 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 dexmal/dexbotic, 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 'about' description to explicitly state the project's domain

    Why:

    CURRENT
    Dexbotic: Open-Source Vision-Language-Action Toolbox
    COPY-PASTE FIX
    Dexbotic: An open-source Vision-Language-Action (VLA) development toolbox for embodied AI and robotics, supporting models like π0, CogACT, and MemVLA.
  • highreadme#2
    Add a clear disambiguation statement to the README

    Why:

    COPY-PASTE FIX
    Add this sentence prominently, e.g., at the beginning of the "Introduction" section: "Note: This project is a Vision-Language-Action (VLA) toolbox for embodied AI and robotics, not a DEX trading bot or a Discord bot."
  • mediumtopics#3
    Expand the topics list with broader, relevant terms

    Why:

    CURRENT
    codebase, cogact, memoryvla, openvla-oft, pi0, real-world, robotics, simulation, toolbox, vla, vln
    COPY-PASTE FIX
    codebase, cogact, memoryvla, openvla-oft, pi0, real-world, robotics, simulation, toolbox, vla, vln, embodied-ai, machine-learning, deep-learning, pytorch, computer-vision, natural-language-processing

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 dexmal/dexbotic
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
RLBench
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. RLBench · recommended 2×
  2. Hugging Face Transformers · recommended 2×
  3. PyTorch · recommended 2×
  4. TensorFlow · recommended 2×
  5. OpenVLA · recommended 1×
  • CATEGORY QUERY
    What open-source frameworks are available for vision-language-action model development in embodied AI?
    you: not recommended
    AI recommended (in order):
    1. OpenVLA
    2. RoboCat
    3. RLBench
    4. Habitat
    5. PyRobot
    6. Franka Emika Panda ROS Drivers

    AI recommended 6 alternatives but never named dexmal/dexbotic. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a comprehensive toolbox for developing and evaluating vision-language-action models for robotics.
    you: not recommended
    AI recommended (in order):
    1. RoboStack
    2. ROS 2
    3. Gazebo
    4. Ignition Gazebo
    5. OpenCV
    6. OpenAI API
    7. Hugging Face Transformers
    8. Isaac Sim
    9. Hugging Face Transformers
    10. Stable Baselines3
    11. PyBullet
    12. MuJoCo
    13. RLBench
    14. PyTorch
    15. TensorFlow
    16. Habitat-ROS
    17. OpenAI Gym
    18. Farama Foundation Gymnasium
    19. PyTorch
    20. TensorFlow

    AI recommended 20 alternatives but never named dexmal/dexbotic. 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 dexmal/dexbotic?
    pass
    AI named dexmal/dexbotic explicitly

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

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

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

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dexmal/dexbotic — 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