REPOGEO REPORT · LITE

openai/openai-quickstart-python

Default branch master · commit ec8890d1 · scanned 5/9/2026, 8:52:23 PM

GitHub: 1,798 stars · 1,349 forks

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 the README's opening to clarify its role as examples for the library

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 Examples

This repository provides runnable Python example applications for quickly integrating and experimenting with the OpenAI API using the official `openai-python` library. It's designed for developers new to the API who want to see concrete, working code for various endpoints (chat, assistants, etc).

mediumtopics#2
Add more specific topics to differentiate from the main library
Why:
CURRENT
```
openai, openai-api
```
COPY-PASTE FIX
```
openai, openai-api, quickstart, examples, tutorial, getting-started, sample-code, python-api
```

lowabout#3

Refine the repository description for clarity

Why:

CURRENT

Python example app from the OpenAI API quickstart tutorial

COPY-PASTE FIX

Collection of runnable Python example applications for the OpenAI API quickstart tutorial, demonstrating integration and experimentation for developers.

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

Of all named tools, what % are you?

Top rival

openai/openai-python

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

openai/openai-python · recommended 1×
langchain-ai/langchain · recommended 1×
run-llama/llama_index · recommended 1×
huggingface/transformers · recommended 1×
googleapis/python-aiplatform · recommended 1×

CATEGORY QUERY
How to quickly integrate a large language model API into a Python application?
you: not recommended
AI recommended (in order):
1. OpenAI Python Library (openai/openai-python)
2. LangChain (langchain-ai/langchain)
3. LlamaIndex (run-llama/llama_index)
4. Hugging Face Transformers (huggingface/transformers)
5. Google Cloud Vertex AI SDK for Python (googleapis/python-aiplatform)
6. Anthropic Python SDK (anthropics/anthropic-sdk-python)
AI recommended 6 alternatives but never named openai/openai-quickstart-python. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Looking for simple Python examples to build a conversational AI assistant.
you: not recommended
AI recommended (in order):
1. NLTK
2. TextBlob
3. spaCy
4. Rasa
5. Hugging Face Transformers
AI recommended 5 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?

Embed your GEO score

Drop this badge into the README of openai/openai-quickstart-python. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

Live preview

MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/openai/openai-quickstart-python.svg)](https://repogeo.com/en/r/openai/openai-quickstart-python)

HTML

<a href="https://repogeo.com/en/r/openai/openai-quickstart-python"><img src="https://repogeo.com/badge/openai/openai-quickstart-python.svg" alt="RepoGEO" /></a>

Pro

Subscribe to Pro for deep diagnoses

openai/openai-quickstart-python — 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