RRepoGEO

REPOGEO REPORT · LITE

mattzh72/articraft

Default branch main · commit 6b619f87 · scanned 6/28/2026, 11:42:00 AM

GitHub: 1,340 stars · 164 forks

AI VISIBILITY SCORE
35 /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
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 mattzh72/articraft, 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
    Clarify project status and nature in README opening

    Why:

    CURRENT
    An Agentic System for Scalable Articulated 3D Asset Generation.
    COPY-PASTE FIX
    Articraft is an actively developed, local-first agentic system for scalable articulated 3D asset generation, powered by LLM-driven code generation. It is not a web application.
  • hightopics#2
    Add relevant topics for categorization

    Why:

    COPY-PASTE FIX
    3d-generation, llm-code-generation, articulated-models, agentic-ai, python, generative-ai, 3d-assets, code-generation
  • mediumreadme#3
    Enhance README H1 title for clarity and prominence

    Why:

    CURRENT
    # Articraft
    COPY-PASTE FIX
    # Articraft: LLM-Powered Agentic System for Articulated 3D Asset Generation

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 mattzh72/articraft
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
DeepMotion (Animate 3D API)
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. DeepMotion (Animate 3D API) · recommended 1×
  2. Plask AI · recommended 1×
  3. Kaedim · recommended 1×
  4. NVIDIA Omniverse · recommended 1×
  5. OpenAI's Point-E / Shap-E · recommended 1×
  • CATEGORY QUERY
    How to generate articulated 3D models programmatically using AI?
    you: not recommended
    AI recommended (in order):
    1. DeepMotion (Animate 3D API)
    2. Plask AI
    3. Kaedim
    4. NVIDIA Omniverse
    5. OpenAI's Point-E / Shap-E
    6. DreamFusion / Magic3D
    7. PyTorch3D
    8. TensorFlow Graphics

    AI recommended 8 alternatives but never named mattzh72/articraft. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools use LLM-driven code generation for 3D asset creation?
    you: not recommended
    AI recommended (in order):
    1. DreamFusion
    2. Shap-E
    3. Luma AI
    4. Blender
    5. SideFX Houdini
    6. Autodesk Maya

    AI recommended 6 alternatives but never named mattzh72/articraft. 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 mattzh72/articraft?
    pass
    AI named mattzh72/articraft explicitly

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

  • If a team adopts mattzh72/articraft in production, what risks or prerequisites should they evaluate first?
    pass
    AI named mattzh72/articraft 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 mattzh72/articraft solve, and who is the primary audience?
    pass
    AI named mattzh72/articraft explicitly

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

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mattzh72/articraft — 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