RRepoGEO

REPOGEO REPORT · LITE

vivoCameraResearch/Magic-TryOn

Default branch main · commit 0ef4b178 · scanned 6/12/2026, 6:14:11 AM

GitHub: 553 stars · 49 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 vivoCameraResearch/Magic-TryOn, 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 clarify 2D video try-on

    Why:

    CURRENT
    MagicTryOn is a video virtual try-on framework based on a large-scale video diffusion Transformer.
    COPY-PASTE FIX
    MagicTryOn is a **2D video virtual try-on framework** based on a large-scale video diffusion Transformer, specifically designed for **garment-preserving** changes in video footage. It offers a highly realistic and consistent solution for virtual clothing try-on without requiring 3D models.
  • mediumlicense#2
    Add a clear license statement to the README

    Why:

    COPY-PASTE FIX
    ## License
This project is licensed under the Apache 2.0 License. Please refer to the `LICENSE` file for full details and any additional terms.
  • lowtopics#3
    Add more specific topics to differentiate from 3D tools

    Why:

    CURRENT
    clothes-change, editing-image, editing-videos, image-tryon, try-on, tryon, video-tryon, wan21
    COPY-PASTE FIX
    2d-virtual-tryon, garment-tryon, video-diffusion, fashion-tech, virtual-fashion, clothes-change, editing-image, editing-videos, image-tryon, try-on, tryon, video-tryon, wan21

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 vivoCameraResearch/Magic-TryOn
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
DeepMotion Animate 3D
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. DeepMotion Animate 3D · recommended 2×
  2. Blender · recommended 1×
  3. Autodesk Maya · recommended 1×
  4. 3ds Max · recommended 1×
  5. Marvelous Designer · recommended 1×
  • CATEGORY QUERY
    How can I implement realistic virtual try-on for clothing in video footage?
    you: not recommended
    AI recommended (in order):
    1. DeepMotion Animate 3D
    2. Blender
    3. Autodesk Maya
    4. 3ds Max
    5. Marvelous Designer
    6. CLO 3D
    7. Unreal Engine
    8. Unity
    9. ZMO.AI
    10. Style3D
    11. Vidnoz AI

    AI recommended 11 alternatives but never named vivoCameraResearch/Magic-TryOn. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What frameworks enable consistent garment changes across multiple frames in a video?
    you: not recommended
    AI recommended (in order):
    1. DeepMotion Animate 3D
    2. Meta's Make-A-Video
    3. Google's Imagen Video
    4. RunwayML Gen-1/Gen-2
    5. NVIDIA's StyleGAN-V
    6. StyleGAN-XL
    7. OpenPose
    8. NeRFs
    9. VITON-HD
    10. ClothFlow

    AI recommended 10 alternatives but never named vivoCameraResearch/Magic-TryOn. 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 vivoCameraResearch/Magic-TryOn?
    pass
    AI named vivoCameraResearch/Magic-TryOn explicitly

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

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

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

Embed your GEO score

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MARKDOWN (README)
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HTML
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vivoCameraResearch/Magic-TryOn — 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