RRepoGEO

REPOGEO REPORT · LITE

Chuny1/3DGPT

Default branch main · commit 590bf71b · scanned 5/31/2026, 2:38:06 AM

GitHub: 847 stars · 46 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 Chuny1/3DGPT, 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
  • highlicense#1
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root with an appropriate open-source license (e.g., MIT, Apache-2.0, GPL-3.0).
  • highabout#2
    Add a concise description to the About section

    Why:

    COPY-PASTE FIX
    Procedural 3D modeling with Large Language Models (LLMs) for generating Python scripts to control 3D scene creation, specifically for Infinigen.
  • hightopics#3
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    ['3d-modeling', 'large-language-models', 'llm-agents', 'procedural-generation', 'infinigen', 'text-to-3d', 'generative-ai']

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 Chuny1/3DGPT
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
DreamFusion / Magic3D
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. DreamFusion / Magic3D · recommended 1×
  2. Shap-E · recommended 1×
  3. Point-E · recommended 1×
  4. Blender · recommended 1×
  5. GPT-4 · recommended 1×
  • CATEGORY QUERY
    How can I leverage large language models for procedural 3D model generation?
    you: not recommended
    AI recommended (in order):
    1. DreamFusion / Magic3D
    2. Shap-E
    3. Point-E
    4. Blender
    5. GPT-4
    6. Claude 3 Opus
    7. Houdini
    8. OpenSCAD
    9. SideFX Labs Tools
    10. L-Systems

    AI recommended 10 alternatives but never named Chuny1/3DGPT. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What AI-driven agents help generate Python scripts for controlling 3D scene creation?
    you: not recommended
    AI recommended (in order):
    1. ChatGPT
    2. Code Interpreter
    3. Advanced Data Analysis
    4. GitHub Copilot
    5. Google Gemini
    6. Hugging Face Transformers
    7. Code Llama
    8. GPT-2
    9. LangChain
    10. LlamaIndex

    AI recommended 10 alternatives but never named Chuny1/3DGPT. 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 Chuny1/3DGPT?
    pass
    AI named Chuny1/3DGPT explicitly

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

  • If a team adopts Chuny1/3DGPT in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Chuny1/3DGPT 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 Chuny1/3DGPT solve, and who is the primary audience?
    pass
    AI named Chuny1/3DGPT explicitly

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

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Chuny1/3DGPT — 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