RRepoGEO

REPOGEO REPORT · LITE

OpenMotionLab/MotionGPT

Default branch main · commit 001aaca8 · scanned 5/26/2026, 7:22:15 PM

GitHub: 1,924 stars · 142 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 OpenMotionLab/MotionGPT, 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 introductory paragraph to emphasize its unique LLM-based, unified motion-language generation

    Why:

    CURRENT
    MotionGPT is a **unified** and **user-friendly** motion-language model to learn the semantic coupling of two modalities and generate high-quality motions and text descriptions on **multiple motion tasks**.
    COPY-PASTE FIX
    MotionGPT is the first **unified motion-language generation model** that leverages Large Language Models (LLMs) to understand and generate **human motion as a foreign language**. It excels at generating both realistic human motions *from* natural language descriptions and descriptive text *from* motion sequences, addressing multiple motion tasks with a user-friendly framework.
  • mediumtopics#2
    Add more specific topics related to motion-to-text and human animation

    Why:

    CURRENT
    3d-generation, chatgpt, gpt, language-model, motion, motion-generation, motiongpt, multi-modal, text-driven, text-to-motion
    COPY-PASTE FIX
    3d-generation, chatgpt, gpt, language-model, motion, motion-generation, motiongpt, multi-modal, text-driven, text-to-motion, motion-to-text, motion-captioning, human-animation
  • mediumreadme#3
    Add a dedicated section to the README explaining MotionGPT's core differentiator

    Why:

    COPY-PASTE FIX
    ## ✨ Why MotionGPT? Our Core Differentiator
    
    MotionGPT stands out as the pioneering framework that leverages Large Language Models (LLMs) for a truly unified approach to human motion and language. Unlike models focused solely on text-to-motion generation, MotionGPT uniquely enables the generation of natural language descriptions *from* human motion sequences, alongside its robust motion generation capabilities. This bidirectional understanding and generation capability, powered by LLMs, sets it apart from common alternatives.

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 OpenMotionLab/MotionGPT
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
MotionDiffuse
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. MotionDiffuse · recommended 1×
  2. MDM · recommended 1×
  3. T2M-GPT · recommended 1×
  4. TEMOS · recommended 1×
  5. FACT · recommended 1×
  • CATEGORY QUERY
    How to generate realistic human motion from natural language descriptions using AI models?
    you: not recommended
    AI recommended (in order):
    1. MotionDiffuse
    2. MDM
    3. T2M-GPT
    4. TEMOS
    5. FACT
    6. HumanML3D
    7. AMASS

    AI recommended 7 alternatives but never named OpenMotionLab/MotionGPT. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What unified AI models can create human animations and text descriptions from prompts?
    you: not recommended
    AI recommended (in order):
    1. RunwayML Gen-1
    2. RunwayML Gen-2
    3. GPT-4
    4. Claude 3
    5. Pika Labs
    6. Stability AI's Stable Diffusion
    7. Automatic1111
    8. ComfyUI
    9. ControlNet
    10. AnimateDiff
    11. Meta's Make-A-Video
    12. Google's Phenaki
    13. Imagen Video

    AI recommended 13 alternatives but never named OpenMotionLab/MotionGPT. 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 OpenMotionLab/MotionGPT?
    pass
    AI named OpenMotionLab/MotionGPT explicitly

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

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

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

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite