RRepoGEO

REPOGEO REPORT · LITE

Gorilla-Lab-SCUT/Fantasia3D

Default branch main · commit 453aa09d · scanned 6/5/2026, 6:08:06 AM

GitHub: 776 stars · 44 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 Gorilla-Lab-SCUT/Fantasia3D, 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
    Add a concise introductory sentence to the README after the main title

    Why:

    CURRENT
    The README's first content after the H1 is the author list and paper links.
    COPY-PASTE FIX
    This repository provides the official code for Fantasia3D, a method designed to generate high-quality 3D models from text descriptions by effectively disentangling geometry and appearance.
  • mediumtopics#2
    Expand repository topics with more specific keywords

    Why:

    CURRENT
    aigc, text-to-3d
    COPY-PASTE FIX
    aigc, text-to-3d, 3d-generation, geometry-appearance-disentanglement, comfyui, 3d-models, content-creation, deep-learning
  • lowfaq#3
    Add a FAQ entry explaining Fantasia3D's unique approach and integration

    Why:

    COPY-PASTE FIX
    Q: What makes Fantasia3D unique compared to other text-to-3D methods? A: Fantasia3D focuses on disentangling geometry and appearance for higher quality, and it offers seamless integration as a ComfyUI node, unifying multiple state-of-the-art text-to-3D generation models within a visual workflow.

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 Gorilla-Lab-SCUT/Fantasia3D
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Spline AI
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Spline AI · recommended 2×
  2. Luma AI · recommended 1×
  3. Meshy AI · recommended 1×
  4. Blockade Labs · recommended 1×
  5. DreamFusion · recommended 1×
  • CATEGORY QUERY
    How can I generate high-quality 3D models from text descriptions using AI?
    you: not recommended
    AI recommended (in order):
    1. Luma AI
    2. Meshy AI
    3. Spline AI
    4. Blockade Labs
    5. DreamFusion
    6. Shap-E
    7. Stable Zero123

    AI recommended 7 alternatives but never named Gorilla-Lab-SCUT/Fantasia3D. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help create realistic 3D assets from text, separating geometry from appearance?
    you: not recommended
    AI recommended (in order):
    1. DreamGaussian (ashawkey/DreamGaussian)
    2. Luma AI Genie 1.0
    3. Polycam
    4. Stable Diffusion (Stability-AI/StableDiffusion)
    5. MVDream (RerenderA/MVDream)
    6. Zero123XL (S-LoRA/Zero123XL)
    7. Instant NGP (NVlabs/instant-ngp)
    8. TensoRF (apchen-nlp/TensoRF)
    9. Nerfstudio (nerfstudio-project/nerfstudio)
    10. Spline AI
    11. Blockade Labs Skybox AI
    12. RunwayML Gen-1
    13. RunwayML Gen-2

    AI recommended 13 alternatives but never named Gorilla-Lab-SCUT/Fantasia3D. 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 Gorilla-Lab-SCUT/Fantasia3D?
    pass
    AI named Gorilla-Lab-SCUT/Fantasia3D explicitly

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

  • If a team adopts Gorilla-Lab-SCUT/Fantasia3D in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Gorilla-Lab-SCUT/Fantasia3D 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 Gorilla-Lab-SCUT/Fantasia3D solve, and who is the primary audience?
    pass
    AI named Gorilla-Lab-SCUT/Fantasia3D explicitly

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

Embed your GEO score

Drop this badge into the README of Gorilla-Lab-SCUT/Fantasia3D. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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Gorilla-Lab-SCUT/Fantasia3D — 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