RRepoGEO

REPOGEO REPORT · LITE

Xbotics-Embodied-AI-club/Xbotics-Embodied-Guide

Default branch main · commit 8ca2da2f · scanned 5/30/2026, 9:18:28 PM

GitHub: 851 stars · 73 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 Xbotics-Embodied-AI-club/Xbotics-Embodied-Guide, 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
  • hightopics#1
    Add relevant topics to improve categorization and recall

    Why:

    COPY-PASTE FIX
    ["embodied-ai", "robotics-learning", "ai-roadmap", "learning-guide", "open-source-projects", "beginner-friendly", "ai-education", "robotics-guide"]
  • highreadme#2
    Clarify the existing license in the README

    Why:

    COPY-PASTE FIX
    Add the following line to your README, ideally near the top or in a dedicated section: "This project's licensing details are available in the [LICENSE file](LICENSE)."
  • mediumreadme#3
    Add an explicit English tagline to the README

    Why:

    CURRENT
    <p align="center">
    <em>更偏重机器人基础学习与开源项目实践 · 路线 + 资源导航，助你快速定位路径、落地项目与参与开源</em>
  </p>
    COPY-PASTE FIX
    Immediately after the H1, add: "A comprehensive learning roadmap and resource guide for beginners in Embodied AI, focusing on robotics fundamentals and open-source project practice."

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 Xbotics-Embodied-AI-club/Xbotics-Embodied-Guide
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
MuJoCo
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. MuJoCo · recommended 2×
  2. DeepMind · recommended 1×
  3. DeepMind Lab · recommended 1×
  4. Stanford University · recommended 1×
  5. CS330: Deep Multi-Task and Meta Learning · recommended 1×
  • CATEGORY QUERY
    Where can I find a comprehensive learning roadmap for getting started with embodied AI?
    you: not recommended
    AI recommended (in order):
    1. DeepMind
    2. DeepMind Lab
    3. MuJoCo
    4. Stanford University
    5. CS330: Deep Multi-Task and Meta Learning
    6. CS234: Reinforcement Learning
    7. UC Berkeley
    8. CS287: Advanced Robotics
    9. CS294: Reinforcement Learning
    10. OpenAI
    11. Spinning Up in Deep RL
    12. Georgia Tech
    13. CS 7638: Robot Learning
    14. Carnegie Mellon University
    15. 16-741: Robot Learning
    16. Hugging Face
    17. Transformers

    AI recommended 17 alternatives but never named Xbotics-Embodied-AI-club/Xbotics-Embodied-Guide. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What resources help beginners implement embodied AI projects and contribute to open-source?
    you: not recommended
    AI recommended (in order):
    1. OpenAI Gym
    2. Stable Baselines3
    3. PyBullet
    4. ROS (Robot Operating System)
    5. Isaac Sim
    6. Habitat
    7. MuJoCo
    8. RLlib

    AI recommended 8 alternatives but never named Xbotics-Embodied-AI-club/Xbotics-Embodied-Guide. 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 Xbotics-Embodied-AI-club/Xbotics-Embodied-Guide?
    pass
    AI did not name Xbotics-Embodied-AI-club/Xbotics-Embodied-Guide — 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 Xbotics-Embodied-AI-club/Xbotics-Embodied-Guide in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Xbotics-Embodied-AI-club/Xbotics-Embodied-Guide 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 Xbotics-Embodied-AI-club/Xbotics-Embodied-Guide solve, and who is the primary audience?
    pass
    AI did not name Xbotics-Embodied-AI-club/Xbotics-Embodied-Guide — 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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Xbotics-Embodied-AI-club/Xbotics-Embodied-Guide — 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