RRepoGEO

REPOGEO REPORT · LITE

jimmyyhwu/tidybot

Default branch main · commit c060278d · scanned 6/12/2026, 4:23:25 AM

GitHub: 691 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 jimmyyhwu/tidybot, 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 clarify its robotics domain.

    Why:

    CURRENT
    # tidybot

This code release accompanies the following project:
    COPY-PASTE FIX
    # tidybot: Code for Personalized Robot Assistance with Large Language Models

This repository provides the implementation for TidyBot, a robotics system designed for personalized household cleanup by leveraging large language models to learn user preferences. This code release accompanies the following project:
  • mediumtopics#2
    Add more specific topics to improve category matching.

    Why:

    CURRENT
    gpt-3, large-language-models, mobile-manipulation, robotics
    COPY-PASTE FIX
    gpt-3, large-language-models, mobile-manipulation, robotics, household-robotics, personalized-robotics, llm-robotics, robot-learning, human-robot-interaction
  • mediumreadme#3
    Add a concise 'What does this repository contain?' section to the README.

    Why:

    COPY-PASTE FIX
    ## What does this repository contain?

This repository provides the full code implementation for the TidyBot system, including components for language-based planning, perception, and integration with large language models (LLMs) to learn and apply personalized object placement preferences for robotic household cleanup. It enables robots to adapt quickly to individual user tastes by inferring generalized preferences from few examples.

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 jimmyyhwu/tidybot
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ROS
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. ROS · recommended 1×
  2. ROS 2 · recommended 1×
  3. MoveIt! · recommended 1×
  4. PyTorch · recommended 1×
  5. TensorFlow · recommended 1×
  • CATEGORY QUERY
    How can I develop a robotic system that learns personalized object placement preferences for tidying?
    you: not recommended
    AI recommended (in order):
    1. ROS
    2. ROS 2
    3. MoveIt!
    4. PyTorch
    5. TensorFlow
    6. Keras
    7. OpenCV
    8. Gazebo
    9. NVIDIA Isaac Sim
    10. Omniverse
    11. Faiss
    12. Annoy
    13. OptiTrack
    14. Vicon

    AI recommended 14 alternatives but never named jimmyyhwu/tidybot. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What frameworks integrate large language models for mobile manipulation and personalized robotic tasks?
    you: not recommended
    AI recommended (in order):
    1. ROS (Robot Operating System)
    2. OpenAI API
    3. LangChain
    4. Hugging Face Transformers
    5. Google PaLM API / Gemini API
    6. RoboCat
    7. SayCan

    AI recommended 7 alternatives but never named jimmyyhwu/tidybot. 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 jimmyyhwu/tidybot?
    pass
    AI named jimmyyhwu/tidybot explicitly

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

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

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

Embed your GEO score

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jimmyyhwu/tidybot — 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