RRepoGEO

REPOGEO REPORT · LITE

PragmaticMachineLearning/probly

Default branch main · commit e5f0b98d · scanned 6/12/2026, 3:17:16 AM

GitHub: 896 stars · 52 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 PragmaticMachineLearning/probly, 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
  • highabout#1
    Add a concise "About" description

    Why:

    COPY-PASTE FIX
    A next-generation spreadsheet application combining AI analysis, Python computation, and intelligent document processing for data analysis.
  • highreadme#2
    Add a direct introductory sentence to the README

    Why:

    CURRENT
    <div align="center">
  

  # Probly
  ### Data analysis with spreadsheets made simple
    COPY-PASTE FIX
    Probly is a next-generation spreadsheet application.

<div align="center">
  

  # Probly
  ### Data analysis with spreadsheets made simple
  • mediumtopics#3
    Refine repository topics for better category matching

    Why:

    CURRENT
    artificial-intelligence, data-analysis, llms, spreadsheet
    COPY-PASTE FIX
    spreadsheet, ai-spreadsheet, python-spreadsheet, data-analysis, document-processing, webassembly, nextjs, pyodide

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 PragmaticMachineLearning/probly
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Microsoft Excel
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Microsoft Excel · recommended 2×
  2. Google Sheets · recommended 2×
  3. Google Apps Script · recommended 2×
  4. PyXLL · recommended 1×
  5. DataNitro · recommended 1×
  • CATEGORY QUERY
    How can I integrate AI-powered analysis and Python scripts into a spreadsheet application?
    you: not recommended
    AI recommended (in order):
    1. Microsoft Excel
    2. PyXLL
    3. DataNitro
    4. Google Sheets
    5. Google Apps Script
    6. Google Cloud Functions
    7. Jupyter Notebooks (jupyter/notebook)
    8. Pandas (pandas-dev/pandas)
    9. OpenPyXL (python-openxml/openpyxl)
    10. XlsxWriter (jmcnamara/XlsxWriter)
    11. Apache OpenOffice
    12. LibreOffice Calc
    13. Airtable (airtable/airtable-python-wrapper)
    14. Smartsheet (smartsheet-platform/smartsheet-python-sdk)

    AI recommended 14 alternatives but never named PragmaticMachineLearning/probly. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a tool to process data from images and analyze it directly in a spreadsheet.
    you: not recommended
    AI recommended (in order):
    1. Google Sheets
    2. Google Cloud Vision API
    3. Google Apps Script
    4. Microsoft Excel
    5. Power Query
    6. Azure AI Vision
    7. ABBYY FineReader PDF
    8. Tesseract OCR
    9. Python
    10. Pillow
    11. pytesseract
    12. pandas
    13. Nanonets
    14. Docparser

    AI recommended 14 alternatives but never named PragmaticMachineLearning/probly. 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 PragmaticMachineLearning/probly?
    pass
    AI named PragmaticMachineLearning/probly explicitly

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

  • If a team adopts PragmaticMachineLearning/probly in production, what risks or prerequisites should they evaluate first?
    pass
    AI named PragmaticMachineLearning/probly 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 PragmaticMachineLearning/probly solve, and who is the primary audience?
    pass
    AI named PragmaticMachineLearning/probly 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 PragmaticMachineLearning/probly. 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/PragmaticMachineLearning/probly.svg)](https://repogeo.com/en/r/PragmaticMachineLearning/probly)
HTML
<a href="https://repogeo.com/en/r/PragmaticMachineLearning/probly"><img src="https://repogeo.com/badge/PragmaticMachineLearning/probly.svg" alt="RepoGEO" /></a>
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  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite