RRepoGEO

REPOGEO REPORT · LITE

jingcheng-chen/rhinomcp

Default branch main · commit 92fc05ba · scanned 6/1/2026, 10:32:06 PM

GitHub: 525 stars · 62 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 jingcheng-chen/rhinomcp, 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
    Reposition the README H1 to specify category

    Why:

    CURRENT
    # RhinoMCP - Rhino Model Context Protocol Integration
    COPY-PASTE FIX
    # RhinoMCP: AI Agent Integration for Rhino 3D Modeling Automation
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    rhino3d, ai-agent, 3d-modeling, design-automation, cad, generative-design, model-context-protocol
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/jingcheng-chen/rhinomcp

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 jingcheng-chen/rhinomcp
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Blender
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Blender · recommended 1×
  2. OpenAI GPT-4 · recommended 1×
  3. LangChain · recommended 1×
  4. Claude 3 Opus · recommended 1×
  5. Rhinoceros 3D · recommended 1×
  • CATEGORY QUERY
    How to use AI agents for programmatic control of 3D modeling software?
    you: not recommended
    AI recommended (in order):
    1. Blender
    2. OpenAI GPT-4
    3. LangChain
    4. Claude 3 Opus
    5. Rhinoceros 3D
    6. Grasshopper
    7. Autodesk Maya
    8. 3ds Max
    9. PyMEL
    10. MaxPlus
    11. pymxs
    12. Unity
    13. Unreal Engine
    14. OpenSCAD

    AI recommended 14 alternatives but never named jingcheng-chen/rhinomcp. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a tool to automate 3D design tasks using AI prompts and natural language.
    you: not recommended
    AI recommended (in order):
    1. Shap-E
    2. Luma AI (Genie)
    3. Spline AI
    4. Blockade Labs (Skybox AI)
    5. Masterpiece Studio (Masterpiece X)
    6. Meshy AI
    7. DreamFusion

    AI recommended 7 alternatives but never named jingcheng-chen/rhinomcp. 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 jingcheng-chen/rhinomcp?
    pass
    AI named jingcheng-chen/rhinomcp explicitly

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

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

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

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jingcheng-chen/rhinomcp — 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