RRepoGEO

REPOGEO REPORT · LITE

abyesilyurt/vibesort

Default branch main · commit f1e4c755 · scanned 6/9/2026, 11:37:58 AM

GitHub: 509 stars · 22 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 abyesilyurt/vibesort, 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

2 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 clarify project identity and technology

    Why:

    CURRENT
    # Vibesort
    
    AI-powered array sorting using GPT.
    COPY-PASTE FIX
    # Vibesort
    
    Vibesort is a Python library that leverages large language models (specifically GPT) to perform intelligent, AI-powered array sorting based on structured output. It provides a unique approach to ordering collections of items beyond traditional algorithms.
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://pypi.org/project/vibesort/

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 abyesilyurt/vibesort
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
grantjenks/sortedcontainers
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. grantjenks/sortedcontainers · recommended 1×
  2. pandas-dev/pandas · recommended 1×
  3. numpy/numpy · recommended 1×
  4. scikit-learn/scikit-learn · recommended 1×
  5. microsoft/LightGBM · recommended 1×
  • CATEGORY QUERY
    Seeking a Python library for AI-assisted list sorting with custom logic.
    you: not recommended
    AI recommended (in order):
    1. SortedList (grantjenks/sortedcontainers)
    2. Pandas (pandas-dev/pandas)
    3. NumPy (numpy/numpy)
    4. Scikit-learn (scikit-learn/scikit-learn)
    5. LightGBM (microsoft/LightGBM)
    6. XGBoost (dmlc/xgboost)

    AI recommended 6 alternatives but never named abyesilyurt/vibesort. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I use a large language model to intelligently order a collection of items?
    you: not recommended
    AI recommended (in order):
    1. OpenAI GPT-4
    2. Anthropic Claude 3 Opus
    3. Google Gemini Advanced
    4. OpenAI GPT-3.5 Turbo
    5. Cohere Command R+
    6. Mistral Large
    7. OpenAI Embeddings
    8. Cohere Embed
    9. Google PaLM Embeddings
    10. OpenAI Fine-tuning
    11. Hugging Face Transformers
    12. Llama 2
    13. Mistral 7B
    14. Scikit-learn
    15. TensorFlow Ranking
    16. PyTorch
    17. LightGBM
    18. XGBoost

    AI recommended 18 alternatives but never named abyesilyurt/vibesort. 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 abyesilyurt/vibesort?
    pass
    AI named abyesilyurt/vibesort explicitly

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

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

    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 abyesilyurt/vibesort. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/abyesilyurt/vibesort.svg)](https://repogeo.com/en/r/abyesilyurt/vibesort)
HTML
<a href="https://repogeo.com/en/r/abyesilyurt/vibesort"><img src="https://repogeo.com/badge/abyesilyurt/vibesort.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

abyesilyurt/vibesort — 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