RRepoGEO

REPOGEO REPORT · LITE

gracezhao1997/Awesome-Video-World-Models-with-AR-Diffusion

Default branch main · commit 0bac1c20 · scanned 6/9/2026, 2:28:18 PM

GitHub: 591 stars · 17 forks

AI VISIBILITY SCORE
15 /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
0 / 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 gracezhao1997/Awesome-Video-World-Models-with-AR-Diffusion, 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 README's opening to emphasize "curated list"

    Why:

    CURRENT
    This repository focuses on **Video World Models with Autoregressive (AR) Diffusion**, a promising paradigm for **scalable, consistent and interactive world modeling** (e.g., Genie 3). It aims to serve as a comprehensive and structured resource for researchers, practitioners, and enthusiasts interested in AR diffusion-based video world modeling.
    COPY-PASTE FIX
    This repository is a **curated and comprehensive list** of resources focusing on **Video World Models with Autoregressive (AR) Diffusion**, a promising paradigm for **scalable, consistent and interactive world modeling** (e.g., Genie 3). It aims to serve as a structured resource for researchers, practitioners, and enthusiasts interested in AR diffusion-based video world modeling.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file with the CC-BY-4.0 license text, as this repository is primarily a curated list of resources.
  • mediumhomepage#3
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    Add a relevant URL to the repository's homepage field in the About section. This could be a project page, an associated research group's website, or a related demo if one exists for the concepts covered.

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 gracezhao1997/Awesome-Video-World-Models-with-AR-Diffusion
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Imagen Video
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Imagen Video · recommended 2×
  2. Make-A-Video · recommended 2×
  3. Papers With Code · recommended 1×
  4. Hugging Face · recommended 1×
  5. Phenaki · recommended 1×
  • CATEGORY QUERY
    Where can I find a comprehensive list of resources for video world models using AR diffusion?
    you: not recommended
    AI recommended (in order):
    1. Papers With Code
    2. Hugging Face
    3. Imagen Video
    4. Phenaki
    5. Make-A-Video
    6. arXiv
    7. GitHub
    8. Google Scholar
    9. YouTube
    10. Two Minute Papers
    11. Lex Fridman Podcast
    12. NeurIPS
    13. ICML
    14. CVPR

    AI recommended 14 alternatives but never named gracezhao1997/Awesome-Video-World-Models-with-AR-Diffusion. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What frameworks exist for building action-conditioned video world models from T2V foundation models?
    you: not recommended
    AI recommended (in order):
    1. PyTorch
    2. PyTorch Lightning
    3. Hugging Face Transformers
    4. Stable Diffusion Video
    5. Imagen Video
    6. Make-A-Video
    7. JAX
    8. Flax
    9. Haiku
    10. TensorFlow
    11. Keras
    12. TensorFlow Probability
    13. Acme
    14. DreamerV3

    AI recommended 14 alternatives but never named gracezhao1997/Awesome-Video-World-Models-with-AR-Diffusion. 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 gracezhao1997/Awesome-Video-World-Models-with-AR-Diffusion?
    pass
    AI did not name gracezhao1997/Awesome-Video-World-Models-with-AR-Diffusion — 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?

  • If a team adopts gracezhao1997/Awesome-Video-World-Models-with-AR-Diffusion in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name gracezhao1997/Awesome-Video-World-Models-with-AR-Diffusion — 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?

  • In one sentence, what problem does the repo gracezhao1997/Awesome-Video-World-Models-with-AR-Diffusion solve, and who is the primary audience?
    pass
    AI did not name gracezhao1997/Awesome-Video-World-Models-with-AR-Diffusion — 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?

Embed your GEO score

Drop this badge into the README of gracezhao1997/Awesome-Video-World-Models-with-AR-Diffusion. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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gracezhao1997/Awesome-Video-World-Models-with-AR-Diffusion — 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