RRepoGEO

REPOGEO REPORT · LITE

KovenYu/WonderWorld

Default branch main · commit 5cf11467 · scanned 6/2/2026, 8:58:06 PM

GitHub: 730 stars · 36 forks

AI VISIBILITY SCORE
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 KovenYu/WonderWorld, 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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    ['3d-generation', 'single-image-3d', 'computer-vision', 'deep-learning', 'pytorch', 'generative-ai', 'scene-generation']
  • highabout#2
    Update the repository's 'About' description

    Why:

    CURRENT
    Code release for https://kovenyu.com/WonderWorld/
    COPY-PASTE FIX
    Official code release for WonderWorld: Interactive 3D Scene Generation from a Single Image using deep learning.
  • mediumlicense#3
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a LICENSE file (e.g., MIT or Apache-2.0) in the root of the repository to clearly state the terms of use.

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 KovenYu/WonderWorld
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Luma AI
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Luma AI · recommended 2×
  2. Instant NGP · recommended 1×
  3. Spline · recommended 1×
  4. Kaedim · recommended 1×
  5. Blockade Labs · recommended 1×
  • CATEGORY QUERY
    How to generate interactive 3D scenes from just one 2D image?
    you: not recommended
    AI recommended (in order):
    1. Luma AI
    2. Instant NGP
    3. Spline
    4. Kaedim
    5. Blockade Labs
    6. Meshroom
    7. RealityCapture
    8. Metashape
    9. Adobe Photoshop

    AI recommended 9 alternatives but never named KovenYu/WonderWorld. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a library to convert a single photograph into a manipulable 3D environment.
    you: not recommended
    AI recommended (in order):
    1. Luma AI
    2. Instant NGP (NVlabs/instant-ngp)
    3. OpenCV (opencv/opencv)
    4. MiDaS (intel-isl/MiDaS)
    5. ZoeDepth (isl-amoe/ZoeDepth)
    6. Open3D (isl-org/Open3D)
    7. PCL (PointCloudLibrary/pcl)
    8. PyTorch3D (facebookresearch/pytorch3d)
    9. TensorFlow Graphics (tensorflow/graphics)
    10. COLMAP (colmap/colmap)

    AI recommended 10 alternatives but never named KovenYu/WonderWorld. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    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 KovenYu/WonderWorld?
    pass
    AI named KovenYu/WonderWorld explicitly

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

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