REPOGEO REPORT · LITE
abyesilyurt/vibesort
Default branch main · commit f1e4c755 · scanned 6/9/2026, 11:37:58 AM
GitHub: 509 stars · 22 forks
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.
- highreadme#1Reposition 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#2Add a homepage URL to the repository metadata
Why:
COPY-PASTE FIXhttps://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.
- grantjenks/sortedcontainers · recommended 1×
- pandas-dev/pandas · recommended 1×
- numpy/numpy · recommended 1×
- scikit-learn/scikit-learn · recommended 1×
- microsoft/LightGBM · recommended 1×
- CATEGORY QUERYSeeking a Python library for AI-assisted list sorting with custom logic.you: not recommendedAI recommended (in order):
- SortedList (grantjenks/sortedcontainers)
- Pandas (pandas-dev/pandas)
- NumPy (numpy/numpy)
- Scikit-learn (scikit-learn/scikit-learn)
- LightGBM (microsoft/LightGBM)
- XGBoost (dmlc/xgboost)
AI recommended 6 alternatives but never named abyesilyurt/vibesort. This is the gap to close.
Show full AI answer
- CATEGORY QUERYHow can I use a large language model to intelligently order a collection of items?you: not recommendedAI recommended (in order):
- OpenAI GPT-4
- Anthropic Claude 3 Opus
- Google Gemini Advanced
- OpenAI GPT-3.5 Turbo
- Cohere Command R+
- Mistral Large
- OpenAI Embeddings
- Cohere Embed
- Google PaLM Embeddings
- OpenAI Fine-tuning
- Hugging Face Transformers
- Llama 2
- Mistral 7B
- Scikit-learn
- TensorFlow Ranking
- PyTorch
- LightGBM
- 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 completenesswarn
Suggestion:
- README presencepass
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?passAI 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?passAI 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?passAI 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.
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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