RRepoGEO

REPOGEO REPORT · LITE

hitcslj/Awesome-AIGC-3D

Default branch v2 · commit 9d508b6f · scanned 6/8/2026, 12:23:19 PM

GitHub: 777 stars · 33 forks

AI VISIBILITY SCORE
28 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
2 / 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 hitcslj/Awesome-AIGC-3D, 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
    ["awesome-list", "aigc", "3d-generation", "computer-vision", "deep-learning", "generative-ai", "research-papers", "survey"]
  • highreadme#2
    Add a clear introductory sentence to the README

    Why:

    COPY-PASTE FIX
    (Insert immediately after the main title/author block, before the table of contents or first section) "This repository is a comprehensive, curated list of research papers and resources on AI-Generated Content (AIGC) for 3D, focusing on advancements from visual synthesis to production-ready asset generation."
  • mediumhomepage#3
    Set the repository homepage URL

    Why:

    COPY-PASTE FIX
    https://christinebobby.github.io/production-ready-3d-survey/

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 hitcslj/Awesome-AIGC-3D
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
DreamFusion
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. DreamFusion · recommended 2×
  2. Magic3D · recommended 2×
  3. NeRF · recommended 1×
  4. Instant-NGP · recommended 1×
  5. 3D Gaussian Splatting · recommended 1×
  • CATEGORY QUERY
    I need to explore recent advancements in AI-driven 3D model generation; what research is available?
    you: not recommended
    AI recommended (in order):
    1. NeRF
    2. Instant-NGP
    3. 3D Gaussian Splatting
    4. Plenoxels
    5. TensoRF
    6. DreamFusion
    7. Magic3D
    8. Point-E
    9. Shap-E
    10. 3D-GAN
    11. DeepSDF

    AI recommended 11 alternatives but never named hitcslj/Awesome-AIGC-3D. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking resources to understand the state-of-the-art in automated 3D asset creation using AI.
    you: not recommended
    AI recommended (in order):
    1. NVIDIA Omniverse
    2. Omniverse Audio2Face
    3. Omniverse Kaolin
    4. DreamFusion
    5. Magic3D
    6. Luma AI
    7. Spline AI
    8. Blockade Labs
    9. Skybox AI
    10. RunwayML
    11. Stability AI
    12. Stable Diffusion 3D
    13. Tripo AI

    AI recommended 13 alternatives but never named hitcslj/Awesome-AIGC-3D. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    warn

    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 hitcslj/Awesome-AIGC-3D?
    pass
    AI named hitcslj/Awesome-AIGC-3D explicitly

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

  • If a team adopts hitcslj/Awesome-AIGC-3D in production, what risks or prerequisites should they evaluate first?
    pass
    AI named hitcslj/Awesome-AIGC-3D 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 hitcslj/Awesome-AIGC-3D solve, and who is the primary audience?
    pass
    AI did not name hitcslj/Awesome-AIGC-3D — likely talking about a different project

    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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hitcslj/Awesome-AIGC-3D — 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