RRepoGEO

REPOGEO REPORT · LITE

thu-ml/Motus

Default branch main · commit f7712168 · scanned 5/9/2026, 11:22:30 AM

GitHub: 1,043 stars · 54 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 thu-ml/Motus, 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
    Strengthen the README's opening to highlight robotic manipulation

    Why:

    CURRENT
    Motus is a unified latent action world model that leverages existing pretrained models and rich, sharable motion information.
    COPY-PASTE FIX
    Motus is a **unified latent action world model** specifically designed for **complex robotic manipulation tasks**. It leverages existing pretrained models and rich, sharable motion information to integrate three experts (understanding, action, and video generation) through a Mixture-of-Transformers (MoT) architecture.
  • mediumtopics#2
    Add more specific robotics and control topics

    Why:

    CURRENT
    diffusion-model, robotic-manipulation, robotics, unidiffuser, video-generation, vision-language-action-model, world-model
    COPY-PASTE FIX
    diffusion-model, robotic-manipulation, robotics, robot-learning, robot-control, world-model, unidiffuser, video-generation, vision-language-action-model
  • lowreadme#3
    Add a 'Comparison with Alternatives' section to the README

    Why:

    COPY-PASTE FIX
    ## Comparison with Alternatives

Motus distinguishes itself from other world models like DreamerV3, PlaNet, and MuZero by offering a unified latent action framework that integrates multiple experts (understanding, action, video generation) and a UniDiffuser-style scheduler for flexible modeling modes, particularly excelling in complex robotic manipulation tasks.

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 thu-ml/Motus
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
DreamerV3
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. DreamerV3 · recommended 2×
  2. PlaNet · recommended 1×
  3. Daydreamer · recommended 1×
  4. Latent Imagination Planning (LIP) · recommended 1×
  5. MuZero · recommended 1×
  • CATEGORY QUERY
    Seeking a unified latent action world model for complex robotic manipulation tasks.
    you: not recommended
    AI recommended (in order):
    1. DreamerV3
    2. PlaNet
    3. Daydreamer
    4. Latent Imagination Planning (LIP)
    5. MuZero

    AI recommended 5 alternatives but never named thu-ml/Motus. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need an AI model that unifies video generation with action planning for robotics.
    you: not recommended
    AI recommended (in order):
    1. RT-1, RT-2
    2. Diffusion Policy
    3. GATO
    4. GPT-4V (Vision)
    5. DreamerV3

    AI recommended 5 alternatives but never named thu-ml/Motus. 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 thu-ml/Motus?
    pass
    AI named thu-ml/Motus explicitly

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

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

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

Embed your GEO score

Drop this badge into the README of thu-ml/Motus. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/thu-ml/Motus.svg)](https://repogeo.com/en/r/thu-ml/Motus)
HTML
<a href="https://repogeo.com/en/r/thu-ml/Motus"><img src="https://repogeo.com/badge/thu-ml/Motus.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

thu-ml/Motus — 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