RRepoGEO

REPOGEO REPORT · LITE

SandAI-org/MAGI-1

Default branch main · commit 6ff822e7 · scanned 5/8/2026, 11:38:26 PM

GitHub: 3,683 stars · 237 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 SandAI-org/MAGI-1, 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
    Clarify MAGI-1's core purpose as a video generation model in the README's opening

    Why:

    CURRENT
    This repository contains the code for the MAGI-1 model, pre-trained weights and inference code. You can find more information on our technical report or directly create magic with MAGI-1 here . 🚀✨
    COPY-PASTE FIX
    This repository contains the code, pre-trained weights, and inference tools for MAGI-1, a state-of-the-art autoregressive world model designed for scalable, high-quality video generation. You can find more information on our technical report or directly create magic with MAGI-1 here . 🚀✨
  • mediumreadme#2
    Add a 'Key Features' section to highlight specific capabilities for video generation

    Why:

    COPY-PASTE FIX
    ## Key Features

- **Autoregressive Video Generation:** Generates long-form videos by predicting sequences of video chunks, enabling coherent temporal modeling.
- **Diffusion-based Quality:** Leverages denoising of per-chunk noise for high-fidelity video output.
- **Scalable World Model:** Designed for large-scale video synthesis, capable of handling complex scenes and durations.
- **Text-to-Video Capabilities:** Supports prompt enhancement via Dify DSL for generating videos from text descriptions.
- **ComfyUI Integration:** Seamlessly integrate MAGI-1 into your ComfyUI workflows with custom nodes.
  • lowtopics#3
    Expand GitHub topics to include 'text-to-video' and 'long-form-video'

    Why:

    CURRENT
    autoregressive, diffusion-models, video-generation
    COPY-PASTE FIX
    autoregressive, diffusion-models, video-generation, text-to-video, long-form-video

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 SandAI-org/MAGI-1
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
RunwayML Gen-2
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. RunwayML Gen-2 · recommended 1×
  2. Pika Labs · recommended 1×
  3. Synthesys X · recommended 1×
  4. HeyGen · recommended 1×
  5. Descript · recommended 1×
  • CATEGORY QUERY
    How can I generate high-quality, long-form videos from text prompts efficiently?
    you: not recommended
    AI recommended (in order):
    1. RunwayML Gen-2
    2. Pika Labs
    3. Synthesys X
    4. HeyGen
    5. Descript
    6. DeepMotion
    7. Adobe After Effects
    8. EbSynth

    AI recommended 8 alternatives but never named SandAI-org/MAGI-1. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What open-source models are available for autoregressive video creation with diffusion techniques?
    you: not recommended
    AI recommended (in order):
    1. VideoCrafter
    2. ModelScope Text-to-Video Synthesis
    3. CogVideo
    4. Phenaki
    5. NUWA-Infinity
    6. Open-Sora

    AI recommended 6 alternatives but never named SandAI-org/MAGI-1. 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 SandAI-org/MAGI-1?
    pass
    AI named SandAI-org/MAGI-1 explicitly

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

  • If a team adopts SandAI-org/MAGI-1 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named SandAI-org/MAGI-1 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 SandAI-org/MAGI-1 solve, and who is the primary audience?
    pass
    AI named SandAI-org/MAGI-1 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 SandAI-org/MAGI-1. 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/SandAI-org/MAGI-1.svg)](https://repogeo.com/en/r/SandAI-org/MAGI-1)
HTML
<a href="https://repogeo.com/en/r/SandAI-org/MAGI-1"><img src="https://repogeo.com/badge/SandAI-org/MAGI-1.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

SandAI-org/MAGI-1 — 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