RRepoGEO

REPOGEO REPORT · LITE

stdstu12/YUME

Default branch main · commit 111c3fab · scanned 6/14/2026, 2:32:44 AM

GitHub: 671 stars · 44 forks

AI VISIBILITY SCORE
35 /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
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 stdstu12/YUME, 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 explicitly state its generative AI purpose

    Why:

    CURRENT
    Yume: An Interactive World Generation Model

Yume is a **long-term project** that aims to create an interactive, realistic, and dynamic world through the input of text, images, or videos.
    COPY-PASTE FIX
    Yume: An Interactive World Generation Model

Yume is a **generative AI model and framework** that aims to create an interactive, realistic, and dynamic world through the input of text, images, or videos. It is a **long-term project** focused on advanced video generation and world modeling.
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://stdstu12.github.io/YUME-Project/
  • lowabout#3
    Update the repository description to be more specific

    Why:

    CURRENT
    The official code of Yume
    COPY-PASTE FIX
    Yume: An open-source interactive world generation model for creating realistic and dynamic videos from text, images, or other inputs.

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 stdstu12/YUME
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
RunwayML Gen-1
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. RunwayML Gen-1 · recommended 1×
  2. RunwayML Gen-2 · recommended 1×
  3. Pika Labs · recommended 1×
  4. Midjourney · recommended 1×
  5. Deforum Stable Diffusion · recommended 1×
  • CATEGORY QUERY
    How to generate interactive, realistic, and dynamic videos from text or images?
    you: not recommended
    AI recommended (in order):
    1. RunwayML Gen-1
    2. RunwayML Gen-2
    3. Pika Labs
    4. Midjourney
    5. Deforum Stable Diffusion
    6. EbSynth
    7. Stable Diffusion
    8. AnimateDiff
    9. ControlNet
    10. HeyGen
    11. Synthesys
    12. Adobe After Effects

    AI recommended 12 alternatives but never named stdstu12/YUME. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Open-source world model for creating interactive and dynamic environments from diverse inputs?
    you: not recommended
    AI recommended (in order):
    1. Unity 3D
    2. Unreal Engine (EpicGames/UnrealEngine)
    3. OpenAI Gym/Farama Foundation Gymnasium
    4. PyBullet
    5. Godot Engine
    6. MuJoCo
    7. Blender

    AI recommended 7 alternatives but never named stdstu12/YUME. 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 stdstu12/YUME?
    pass
    AI named stdstu12/YUME explicitly

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

  • If a team adopts stdstu12/YUME in production, what risks or prerequisites should they evaluate first?
    pass
    AI named stdstu12/YUME 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 stdstu12/YUME solve, and who is the primary audience?
    pass
    AI named stdstu12/YUME 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 stdstu12/YUME. 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/stdstu12/YUME.svg)](https://repogeo.com/en/r/stdstu12/YUME)
HTML
<a href="https://repogeo.com/en/r/stdstu12/YUME"><img src="https://repogeo.com/badge/stdstu12/YUME.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

stdstu12/YUME — 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