RRepoGEO

REPOGEO REPORT · LITE

mbreuss/diffusion-literature-for-robotics

Default branch main · commit 30d28a8b · scanned 6/8/2026, 4:43:04 PM

GitHub: 915 stars · 45 forks

AI VISIBILITY SCORE
28 /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
2 / 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 mbreuss/diffusion-literature-for-robotics, 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 'curated collection' in README opening

    Why:

    CURRENT
    This repository offers a brief summary of essential papers and blogs on diffusion models, alongside a categorized collection of robotics diffusion papers and useful code repositories for starting your own diffusion robotics project.
    COPY-PASTE FIX
    This repository is a **curated and categorized collection** of essential papers, blogs, and code repositories specifically focused on **diffusion models for robotics applications**, designed to help researchers and practitioners quickly get started and stay updated.
  • mediumabout#2
    Refine repository description to emphasize curated collection

    Why:

    CURRENT
    Summary of key papers and blogs about diffusion models to learn about the topic. Detailed list of all published diffusion robotics papers.
    COPY-PASTE FIX
    A curated and categorized collection of key papers, blogs, and code for diffusion models in robotics. Designed for researchers and practitioners to learn and stay updated on the topic.
  • lowhomepage#3
    Add a homepage URL to the repository settings

    Why:

    COPY-PASTE FIX
    https://github.com/mbreuss/diffusion-literature-for-robotics

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 mbreuss/diffusion-literature-for-robotics
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Diffusion Models: A Comprehensive Survey of Methods and Applications
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Diffusion Models: A Comprehensive Survey of Methods and Applications · recommended 1×
  2. A Survey on Generative AI: From Autoregressive Models to Diffusion Models · recommended 1×
  3. arXiv · recommended 1×
  4. Google Scholar · recommended 1×
  5. Semantic Scholar · recommended 1×
  • CATEGORY QUERY
    Where can I find a comprehensive literature review on diffusion models for robotics applications?
    you: not recommended
    AI recommended (in order):
    1. Diffusion Models: A Comprehensive Survey of Methods and Applications
    2. A Survey on Generative AI: From Autoregressive Models to Diffusion Models
    3. arXiv
    4. Google Scholar
    5. Semantic Scholar
    6. NeurIPS
    7. ICML
    8. ICLR
    9. RSS
    10. IROS
    11. ICRA

    AI recommended 11 alternatives but never named mbreuss/diffusion-literature-for-robotics. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking resources and code for applying diffusion models to robotic imitation learning.
    you: not recommended
    AI recommended (in order):
    1. Diffuser (google-deepmind/diffuser)
    2. Hugging Face `diffusers` library (huggingface/diffusers)
    3. RoboDiff
    4. Diffusion Policy official implementation (real-stanford/diffusion_policy)
    5. RL-Diffuser
    6. PyTorch/TensorFlow

    AI recommended 6 alternatives but never named mbreuss/diffusion-literature-for-robotics. 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 mbreuss/diffusion-literature-for-robotics?
    pass
    AI named mbreuss/diffusion-literature-for-robotics explicitly

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

  • If a team adopts mbreuss/diffusion-literature-for-robotics in production, what risks or prerequisites should they evaluate first?
    pass
    AI named mbreuss/diffusion-literature-for-robotics 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 mbreuss/diffusion-literature-for-robotics solve, and who is the primary audience?
    pass
    AI did not name mbreuss/diffusion-literature-for-robotics — 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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