RRepoGEO

REPOGEO REPORT · LITE

3DTopia/4DNeX

Default branch main · commit 011bbb33 · scanned 6/13/2026, 3:42:55 PM

GitHub: 840 stars · 13 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 3DTopia/4DNeX, 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:

    CURRENT
    (none)
    COPY-PASTE FIX
    4d-generative-modeling, neural-radiance-fields, nerf, computer-vision, deep-learning, 3d-reconstruction, dynamic-scenes, feed-forward
  • highreadme#2
    Clarify the project's nature as a research implementation in the README

    Why:

    CURRENT
    ## 4DNeX: Feed-Forward 4D Generative Modeling Made Easy
    COPY-PASTE FIX
    ## 4DNeX: Feed-Forward 4D Generative Modeling Made Easy

This repository provides the official implementation for our research paper on feed-forward 4D generative modeling.
  • highlicense#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 in the repository root containing the full text of the MIT License.

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 3DTopia/4DNeX
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Blender
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Blender · recommended 2×
  2. Plask · recommended 1×
  3. Kaedim · recommended 1×
  4. Luma AI · recommended 1×
  5. NVIDIA Omniverse · recommended 1×
  • CATEGORY QUERY
    How can I quickly generate realistic 4D scenes or dynamic 3D models?
    you: not recommended
    AI recommended (in order):
    1. Plask
    2. Kaedim
    3. Luma AI
    4. NVIDIA Omniverse
    5. DeepMotion
    6. RunwayML
    7. Blender

    AI recommended 7 alternatives but never named 3DTopia/4DNeX. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help create feed-forward 4D generative models for animation or simulations?
    you: not recommended
    AI recommended (in order):
    1. PyTorch
    2. TensorFlow
    3. Keras
    4. JAX
    5. Open3D
    6. Kaolin
    7. taichi
    8. Blender

    AI recommended 8 alternatives but never named 3DTopia/4DNeX. 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 3DTopia/4DNeX?
    pass
    AI named 3DTopia/4DNeX explicitly

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

  • If a team adopts 3DTopia/4DNeX in production, what risks or prerequisites should they evaluate first?
    pass
    AI named 3DTopia/4DNeX 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 3DTopia/4DNeX solve, and who is the primary audience?
    pass
    AI named 3DTopia/4DNeX explicitly

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

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3DTopia/4DNeX — 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