RRepoGEO

REPOGEO REPORT · LITE

openai/openai-quickstart-node

Default branch master · commit 6e6e0349 · scanned 6/21/2026, 6:22:38 PM

GitHub: 2,641 stars · 1,960 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-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
  • highreadme#1
    Reposition the README's opening statement to clarify repo type

    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 repository provides official, ready-to-run code examples for integrating the OpenAI APIs using the OpenAI Node.js SDK. It is designed as a quickstart guide, showcasing practical implementations of Chat Completions, Assistants, Fine-tuning, Embeddings, Moderation, Batch Processing, and Images.
  • hightopics#2
    Add more specific topics to improve categorization

    Why:

    CURRENT
    openai, openai-api
    COPY-PASTE FIX
    openai, openai-api, nodejs, openai-sdk-examples, quickstart, api-integration, generative-ai
  • mediumabout#3
    Refine the repository description for clarity

    Why:

    CURRENT
    Node.js example app from the OpenAI API quickstart tutorial
    COPY-PASTE FIX
    Official Node.js code examples for the OpenAI API quickstart tutorial, demonstrating practical use of the OpenAI Node.js SDK.

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
LangChain.js
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain.js · recommended 2×
  2. OpenAI API · recommended 1×
  3. Google Cloud Vertex AI · recommended 1×
  4. Anthropic Claude API · recommended 1×
  5. Hugging Face Inference API · recommended 1×
  • CATEGORY QUERY
    How to integrate advanced AI language models into a Node.js application?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. Google Cloud Vertex AI
    3. Anthropic Claude API
    4. Hugging Face Inference API
    5. LangChain.js
    6. Llama.cpp

    AI recommended 6 alternatives but never named openai/openai-quickstart-node. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for Node.js examples to implement AI chat, embeddings, or image generation.
    you: not recommended
    AI recommended (in order):
    1. LangChain.js
    2. OpenAI Node.js Library
    3. Hugging Face Transformers.js
    4. google-generative-ai Node.js SDK
    5. LlamaIndex.TS
    6. Replicate Node.js Client
    7. Pinecone Node.js Client
    8. ChromaDB Node.js Client
    9. Weaviate Node.js Client

    AI recommended 9 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 did not name openai/openai-quickstart-node — 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-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 did not name openai/openai-quickstart-node — 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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openai/openai-quickstart-node — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite