RRepoGEO

REPOGEO REPORT · LITE

malywut/gpt_examples

Default branch main · commit 26084dd7 · scanned 6/5/2026, 5:02:15 AM

GitHub: 677 stars · 290 forks

AI VISIBILITY SCORE
23 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 fail
Objective metadata checks
AI knows your name
2 / 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 malywut/gpt_examples, 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
  • highlicense#1
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root with a standard open-source license (e.g., MIT, Apache-2.0, GPL-3.0) that reflects the intended usage of the code examples.
  • highabout#2
    Add a concise description and relevant topics to the repository

    Why:

    CURRENT
    Description: (none), Topics: (none)
    COPY-PASTE FIX
    Description: Practical Python code examples and use cases for building applications with GPT-4 and ChatGPT, directly from the book "Developing Apps with GPT-4 and ChatGPT". Topics: ['gpt', 'gpt-4', 'chatgpt', 'openai', 'python', 'llm', 'generative-ai', 'code-examples', 'application-development', 'book-companion']
  • mediumreadme#3
    Clarify the README's opening sentence to emphasize standalone examples

    Why:

    CURRENT
    This repository contains different examples and use cases showcased in the book <a href="https://appswithgpt.com">Developing Apps with GPT-4 and ChatGPT</a>.
    COPY-PASTE FIX
    This repository provides practical, standalone Python code examples and use cases for building applications with GPT-4 and ChatGPT, directly from the book "Developing Apps with GPT-4 and ChatGPT".

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 malywut/gpt_examples
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. LlamaIndex · recommended 2×
  3. Haystack · recommended 2×
  4. OpenAI Python Library · recommended 1×
  5. Hugging Face `transformers` library · recommended 1×
  • CATEGORY QUERY
    How to build applications using large language models with Python examples?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. OpenAI Python Library
    4. Hugging Face `transformers` library
    5. Haystack
    6. LiteLLM

    AI recommended 6 alternatives but never named malywut/gpt_examples. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking Python code examples for creating a question-answering system from documents?
    you: not recommended
    AI recommended (in order):
    1. Haystack
    2. LangChain
    3. LlamaIndex
    4. Hugging Face Transformers
    5. Faiss
    6. Pinecone
    7. Weaviate
    8. ChromaDB
    9. DeepPavlov
    10. Rasa

    AI recommended 10 alternatives but never named malywut/gpt_examples. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    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 malywut/gpt_examples?
    pass
    AI named malywut/gpt_examples explicitly

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

  • If a team adopts malywut/gpt_examples in production, what risks or prerequisites should they evaluate first?
    pass
    AI named malywut/gpt_examples 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 malywut/gpt_examples solve, and who is the primary audience?
    pass
    AI did not name malywut/gpt_examples — 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?

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  • Brand-free category queries5 vs 2 in Lite
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