RRepoGEO

REPOGEO REPORT · LITE

santiagobasulto/ipython-gpt

Default branch master · commit eb17d13d · scanned 6/3/2026, 6:47:56 PM

GitHub: 582 stars · 40 forks

AI VISIBILITY SCORE
22 /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
1 / 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 santiagobasulto/ipython-gpt, 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
    Update the About section description

    Why:

    CURRENT
    An ChatGPT integration for Jupyter Notebooks and the IPython Shell
    COPY-PASTE FIX
    A lightweight, standalone IPython magic for direct ChatGPT integration in Jupyter Notebooks and the IPython Shell, focusing on simplicity and explicit AI assistance.
  • highreadme#2
    Reposition the README's opening paragraph

    Why:

    CURRENT
    This (standalone, no external dependencies required) extension allows you to use ChatGPT directly from your Jupyter Notebook or IPython Shell (Demo).
    COPY-PASTE FIX
    This standalone IPython magic provides a direct, lightweight way to integrate ChatGPT into your Jupyter Notebooks and IPython Shell. It offers immediate, explicit AI assistance via magic commands, differentiating it from broader AI frameworks by focusing on simplicity and minimal dependencies.
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/santiagobasulto/ipython-gpt

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 santiagobasulto/ipython-gpt
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
jupyterlab/jupyter-ai
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. jupyterlab/jupyter-ai · recommended 1×
  2. openai/openai-python · recommended 1×
  3. langchain-ai/langchain · recommended 1×
  4. run-llama/llama_index · recommended 1×
  5. GitHub Copilot · recommended 1×
  • CATEGORY QUERY
    How to integrate an AI assistant like ChatGPT directly into my Jupyter Notebook workflow?
    you: not recommended
    AI recommended (in order):
    1. Jupyter AI (jupyterlab/jupyter-ai)
    2. OpenAI API (openai/openai-python)
    3. LangChain (langchain-ai/langchain)
    4. LlamaIndex (run-llama/llama_index)
    5. GitHub Copilot
    6. Code Llama (facebookresearch/codellama)

    AI recommended 6 alternatives but never named santiagobasulto/ipython-gpt. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good tools for using large language models within an IPython shell?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. OpenAI Python Library
    4. Hugging Face `transformers` Library
    5. Anthropic Python SDK
    6. LiteLLM

    AI recommended 6 alternatives but never named santiagobasulto/ipython-gpt. 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 santiagobasulto/ipython-gpt?
    pass
    AI did not name santiagobasulto/ipython-gpt — 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 santiagobasulto/ipython-gpt in production, what risks or prerequisites should they evaluate first?
    pass
    AI named santiagobasulto/ipython-gpt 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 santiagobasulto/ipython-gpt solve, and who is the primary audience?
    pass
    AI did not name santiagobasulto/ipython-gpt — 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?

Embed your GEO score

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santiagobasulto/ipython-gpt — 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