RRepoGEO

REPOGEO REPORT · LITE

openai/openai-quickstart-python

Default branch master · commit ec8890d1 · scanned 6/19/2026, 6:17:44 PM

GitHub: 1,808 stars · 1,344 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
27 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 openai/openai-quickstart-python, 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
  • highreadme#1
    Reposition README H1 and opening paragraph to emphasize 'example app' and 'tutorial'

    Why:

    CURRENT
    # OpenAI API Quickstart - Python

This repository hosts multiple quickstart apps for different OpenAI API endpoints (chat, assistants, etc). Check out the `examples` folder to try out different examples and get started using the OpenAI API.
    COPY-PASTE FIX
    # OpenAI API Quickstart - Python Example Apps

This repository provides runnable Python example applications directly from the official OpenAI API quickstart tutorial. It's designed for developers looking for concrete, ready-to-use code to quickly integrate various OpenAI API endpoints (like Chat Completions and Assistants) into their projects.
  • hightopics#2
    Add specific topics to clarify repo's purpose as a quickstart/example

    Why:

    CURRENT
    openai, openai-api
    COPY-PASTE FIX
    openai, openai-api, quickstart, example-app, python-examples, tutorial
  • mediumreadme#3
    Add a clear 'Who is this for?' section to the README

    Why:

    COPY-PASTE FIX
    ## Who is this for?

This repository is ideal for Python developers who are:
- New to the OpenAI API and want to see working code examples.
- Looking for a direct, runnable implementation of the official quickstart tutorial.
- Seeking a starting point for integrating specific OpenAI API features (like chat or assistants) into their applications.

It is *not* intended as a production-ready framework or a comprehensive library, but rather as a learning resource and a foundation for your own development.

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 openai/openai-quickstart-python
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
openai/openai-python
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. openai/openai-python · recommended 1×
  2. google/generative-ai-python · recommended 1×
  3. huggingface/transformers · recommended 1×
  4. anthropics/anthropic-sdk-python · recommended 1×
  5. cohere-ai/cohere-python · recommended 1×
  • CATEGORY QUERY
    Need a simple Python example for interacting with generative AI services.
    you: not recommended
    AI recommended (in order):
    1. OpenAI API (openai/openai-python)
    2. Google AI Studio / Gemini API (google/generative-ai-python)
    3. Hugging Face Transformers (huggingface/transformers)
    4. Anthropic Claude API (anthropics/anthropic-sdk-python)
    5. Cohere API (cohere-ai/cohere-python)

    AI recommended 5 alternatives but never named openai/openai-quickstart-python. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to implement AI assistant features in a new Python project?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. LangChain
    3. Hugging Face Transformers
    4. Google Gemini API
    5. Cohere API
    6. LlamaIndex
    7. spaCy
    8. NLTK

    AI recommended 8 alternatives but never named openai/openai-quickstart-python. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    pass

  • 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 openai/openai-quickstart-python?
    pass
    AI did not name openai/openai-quickstart-python — 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 openai/openai-quickstart-python in production, what risks or prerequisites should they evaluate first?
    pass
    AI named openai/openai-quickstart-python 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 openai/openai-quickstart-python solve, and who is the primary audience?
    pass
    AI did not name openai/openai-quickstart-python — 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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