RRepoGEO

REPOGEO REPORT · LITE

PrathamLearnsToCode/paper2code

Default branch main · commit fcffce7a · scanned 6/18/2026, 4:23:15 AM

GitHub: 1,416 stars · 170 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 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
  • hightopics#1
    Add more specific topics to improve categorization

    Why:

    CURRENT
    agent, claude-code, skills
    COPY-PASTE FIX
    ai-agent, code-generation, research-reproduction, arxiv, scientific-papers, llm-applications, paper-to-code
  • highhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/PrathamLearnsToCode/paper2code
  • mediumreadme#3
    Reposition the README H1 to emphasize 'open-source AI agent'

    Why:

    CURRENT
    # paper2code

> **arxiv URL in → citation-anchored implementation out**
    COPY-PASTE FIX
    # paper2code: An Open-Source AI Agent for Research Paper to Code Implementation

> **Transform any arXiv paper into a citation-anchored, runnable codebase with this dedicated AI agent.**

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
GPT-4
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. GPT-4 · recommended 2×
  2. GitHub Copilot · recommended 1×
  3. Claude 3 Opus · recommended 1×
  4. Gemini Advanced · recommended 1×
  5. Code Interpreter · recommended 1×
  • CATEGORY QUERY
    How can I automatically generate a working code implementation from a research paper?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot
    2. GPT-4
    3. Claude 3 Opus
    4. Gemini Advanced
    5. Code Interpreter
    6. ChatGPT Plus
    7. Advanced Data Analysis
    8. Google Gemini Advanced
    9. Wolfram Alpha
    10. Mathematica
    11. Jupyter Notebooks
    12. Python
    13. R
    14. Julia
    15. GitHub
    16. Hugging Face
    17. Papers With Code

    AI recommended 17 alternatives but never named PrathamLearnsToCode/paper2code. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for an AI agent to transform scientific papers into executable codebases.
    you: not recommended
    AI recommended (in order):
    1. AlphaCode 2
    2. GitHub Copilot X
    3. Code Llama (facebookresearch/codellama)
    4. GPT-4
    5. Bard
    6. Hugging Face Transformers (huggingface/transformers)

    AI recommended 6 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 named PrathamLearnsToCode/paper2code explicitly

    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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  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite