RRepoGEO

REPOGEO REPORT · LITE

jihe520/MathModelAgent

Default branch main · commit d5428a2a · scanned 5/13/2026, 1:36:58 PM

GitHub: 1,959 stars · 245 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 jihe520/MathModelAgent, 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 README H4 to clarify "AI Assistant" role

    Why:

    CURRENT
    <h4 align="center">An Agent Designed for Mathematical Modeling<br>Automatically complete mathmodel and generate a complete paper ready for submission.</h4>
    COPY-PASTE FIX
    <h4 align="center">An AI Assistant for Mathematical Modeling<br>Automate math modeling, generate code, and draft submission-ready papers.</h4>
  • highlicense#2
    Add a LICENSE file

    Why:

    CURRENT
    (no LICENSE file detected)
    COPY-PASTE FIX
    Create a LICENSE file in the repository root with a standard open-source license (e.g., MIT, Apache-2.0, GPL-3.0) that reflects the project's intended usage and contribution model.
  • mediumtopics#3
    Expand repository topics for better categorization

    Why:

    CURRENT
    agent, llm, mathmodel, muti-agent
    COPY-PASTE FIX
    agent, llm, mathmodel, multi-agent, ai-assistant, paper-generation, automated-modeling, competition-tool, academic-writing

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 jihe520/MathModelAgent
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ChatGPT
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. ChatGPT · recommended 2×
  2. Wolfram Mathematica · recommended 1×
  3. MATLAB · recommended 1×
  4. Symbolic Math Toolbox · recommended 1×
  5. Python · recommended 1×
  • CATEGORY QUERY
    How to automate mathematical modeling for competitions and generate complete, submission-ready papers?
    you: not recommended
    AI recommended (in order):
    1. Wolfram Mathematica
    2. MATLAB
    3. Symbolic Math Toolbox
    4. Python
    5. NumPy (numpy/numpy)
    6. SciPy (scipy/scipy)
    7. SymPy (sympy/sympy)
    8. Matplotlib (matplotlib/matplotlib)
    9. Seaborn (mwaskom/seaborn)
    10. Pandas (pandas-dev/pandas)
    11. Jupyter Notebooks (jupyter/notebook)
    12. Sphinx (sphinx-doc/sphinx)
    13. Maple
    14. LaTeX
    15. Overleaf
    16. ShareLaTeX
    17. ChatGPT
    18. GPT-4

    AI recommended 18 alternatives but never named jihe520/MathModelAgent. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Which AI assistant can help solve complex math problems and draft academic papers?
    you: not recommended
    AI recommended (in order):
    1. Wolfram Alpha
    2. ChatGPT
    3. Google Gemini
    4. Perplexity AI

    AI recommended 4 alternatives but never named jihe520/MathModelAgent. 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 jihe520/MathModelAgent?
    pass
    AI named jihe520/MathModelAgent explicitly

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

  • If a team adopts jihe520/MathModelAgent in production, what risks or prerequisites should they evaluate first?
    pass
    AI named jihe520/MathModelAgent 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 jihe520/MathModelAgent solve, and who is the primary audience?
    pass
    AI did not name jihe520/MathModelAgent — 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

Drop this badge into the README of jihe520/MathModelAgent. 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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jihe520/MathModelAgent — 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