RRepoGEO

REPOGEO REPORT · LITE

PrathamLearnsToCode/paper2code

Default branch main · commit fcffce7a · scanned 5/8/2026, 12:47:49 PM

GitHub: 1,264 stars · 157 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 PrathamLearnsToCode/paper2code, 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 opening to clarify project category and intent

    Why:

    CURRENT
    # paper2code

> **arxiv URL in → citation-anchored implementation out**

```
┌─────────────────────────────┐
    COPY-PASTE FIX
    # paper2code

> **arxiv URL in → citation-anchored implementation out**

paper2code is an advanced LLM agent designed to automate the conversion of academic research papers into runnable, citation-anchored code implementations. It aims to significantly enhance research reproducibility by generating structured code projects directly from arXiv URLs, complete with cited sections and reproduction notes.

```
┌─────────────────────────────┐
  • hightopics#2
    Add more specific topics for better categorization

    Why:

    CURRENT
    agent, claude-code, skills
    COPY-PASTE FIX
    llm-agent, code-generation, research-reproducibility, arxiv, scientific-papers, ai-agent, python, machine-learning
  • lowabout#3
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://github.com/PrathamLearnsToCode/paper2code

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 PrathamLearnsToCode/paper2code
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Jupyter Notebooks
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Jupyter Notebooks · recommended 2×
  2. Mathematica · recommended 2×
  3. SymPy · recommended 2×
  4. ChatGPT · recommended 1×
  5. GPT-4 · recommended 1×
  • CATEGORY QUERY
    How can I quickly generate working code implementations directly from academic research papers?
    you: not recommended
    AI recommended (in order):
    1. ChatGPT
    2. GPT-4
    3. Claude 3
    4. Gemini Advanced
    5. GitHub Copilot
    6. CodeWhisperer
    7. Tabnine
    8. Jupyter Notebooks
    9. Google Colab
    10. Semantic Scholar
    11. ArXiv
    12. Wolfram Alpha
    13. Mathematica
    14. SymPy

    AI recommended 14 alternatives but never named PrathamLearnsToCode/paper2code. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help convert scientific paper descriptions into runnable, structured code projects?
    you: not recommended
    AI recommended (in order):
    1. Jupyter Notebooks
    2. JupyterLab
    3. Python
    4. NumPy
    5. SciPy
    6. Pandas
    7. Matplotlib
    8. Seaborn
    9. scikit-learn
    10. TensorFlow
    11. PyTorch
    12. LaTeX
    13. Overleaf
    14. ShareLaTeX
    15. SymPy
    16. Mathematica
    17. MATLAB's Symbolic Math Toolbox
    18. Git
    19. GitHub
    20. GitLab
    21. Bitbucket
    22. VS Code
    23. PyCharm
    24. Black
    25. Flake8
    26. draw.io
    27. Lucidchart
    28. Mermaid.js

    AI recommended 28 alternatives but never named PrathamLearnsToCode/paper2code. 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 PrathamLearnsToCode/paper2code?
    pass
    AI did not name PrathamLearnsToCode/paper2code — 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?

  • If a team adopts PrathamLearnsToCode/paper2code in production, what risks or prerequisites should they evaluate first?
    pass
    AI named PrathamLearnsToCode/paper2code 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 PrathamLearnsToCode/paper2code solve, and who is the primary audience?
    pass
    AI named PrathamLearnsToCode/paper2code explicitly

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

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  • Brand-free category queries5 vs 2 in Lite
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