RRepoGEO

REPOGEO REPORT · LITE

openai/openai-quickstart-node

Default branch master · commit 6e6e0349 · scanned 5/11/2026, 1:33:27 PM

GitHub: 2,635 stars · 1,973 forks

AI VISIBILITY SCORE
40 /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
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 openai/openai-quickstart-node, 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
  • hightopics#1
    Add specific topics for quickstart examples

    Why:

    CURRENT
    openai, openai-api
    COPY-PASTE FIX
    openai, openai-api, quickstart, examples, node-js, openai-sdk
  • highreadme#2
    Clarify README's opening sentence to emphasize 'official code examples'

    Why:

    CURRENT
    This repository provides a collection of examples demonstrating how to use the OpenAI APIs with the Node.js SDK.
    COPY-PASTE FIX
    This official OpenAI repository provides a collection of practical Node.js code examples demonstrating how to quickly get started with and use the OpenAI APIs via the Node.js SDK.
  • mediumreadme#3
    Add a 'Purpose and Scope' section to the README

    Why:

    COPY-PASTE FIX
    ## Purpose and Scope

This repository is designed as an official quickstart guide and collection of practical code examples for developers looking to integrate OpenAI APIs using the Node.js SDK. It is intended for learning, rapid prototyping, and demonstrating API features. While the examples provide a solid foundation, they are not designed for direct production use without further hardening, error handling, and security considerations.

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-node
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI API
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI API · recommended 2×
  2. Hugging Face Transformers.js · recommended 2×
  3. Google Cloud Vertex AI · recommended 1×
  4. LangChain.js · recommended 1×
  5. Cohere API · recommended 1×
  • CATEGORY QUERY
    How to quickly get started with generative AI capabilities in Node.js?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. Google Cloud Vertex AI
    3. Hugging Face Transformers.js
    4. LangChain.js
    5. Cohere API

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

    Show full AI answer
  • CATEGORY QUERY
    Seeking practical JavaScript examples for implementing various AI API features.
    you: not recommended
    AI recommended (in order):
    1. Google Cloud AI Platform
    2. OpenAI API
    3. Microsoft Azure AI Services
    4. Hugging Face Transformers.js
    5. TensorFlow.js
    6. Clarifai API
    7. AWS AI Services

    AI recommended 7 alternatives but never named openai/openai-quickstart-node. 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-node?
    pass
    AI named openai/openai-quickstart-node explicitly

    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-node in production, what risks or prerequisites should they evaluate first?
    pass
    AI named openai/openai-quickstart-node 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-node solve, and who is the primary audience?
    pass
    AI named openai/openai-quickstart-node explicitly

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

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