RRepoGEO

REPOGEO REPORT · LITE

microsoft/generative-ai-with-javascript

Default branch main · commit a7abd828 · scanned 5/17/2026, 7:37:46 AM

GitHub: 1,200 stars · 790 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 microsoft/generative-ai-with-javascript, 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 paragraph to clearly state it's a beginner course

    Why:

    CURRENT
    Ready to integrate Generative AI into your JavaScript apps? This course throws you into a *time-traveling adventure*—meet history’s legends with a fun twist, while learning Generative AI technologies ✨
    COPY-PASTE FIX
    This is a beginner-friendly course and collection of practical code samples for learning Generative AI technologies with JavaScript. It guides you through building applications, rather than being a standalone library or API.
  • mediumabout#2
    Update the 'About' description for clarity and directness

    Why:

    CURRENT
    Join a time-traveling adventure where you meet history’s legends while learning Generative AI technologies! ✨
    COPY-PASTE FIX
    A beginner-friendly course and practical code samples for learning Generative AI with JavaScript, guiding you through building applications with LLMs.
  • lowcomparison#3
    Add a 'Comparison' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section titled 'How is this different from an API or Library?' or 'Comparison to other Generative AI tools' with content like: 'This repository is a learning course and collection of samples, not a standalone library or API like LangChain.js, OpenAI API, or Hugging Face Transformers.js. It teaches you how to *use* those tools and build applications with them, focusing specifically on JavaScript developers new to Generative AI.'

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 microsoft/generative-ai-with-javascript
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Google AI Studio
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Google AI Studio · recommended 2×
  2. Gemini API · recommended 2×
  3. OpenAI API · recommended 2×
  4. @huggingface/inference · recommended 1×
  5. Transformers.js · recommended 1×
  • CATEGORY QUERY
    How can I learn generative AI concepts and build applications using JavaScript?
    you: not recommended
    AI recommended (in order):
    1. @huggingface/inference
    2. Transformers.js
    3. Google AI Studio
    4. Gemini API
    5. OpenAI API
    6. TensorFlow.js
    7. Replicate
    8. LangChain.js
    9. Stable Diffusion
    10. Stability AI's DreamStudio API

    AI recommended 10 alternatives but never named microsoft/generative-ai-with-javascript. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for practical examples to integrate large language models into my JavaScript applications.
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. openai npm package (openai/openai-node)
    3. LangChain.js (langchain-ai/langchainjs)
    4. Google AI Studio
    5. Gemini API
    6. @google/generative-ai npm package (google/generative-ai-js)
    7. Hugging Face Transformers.js (xenova/transformers.js)
    8. LlamaIndex.js (llamaindex/llamaindexjs)

    AI recommended 8 alternatives but never named microsoft/generative-ai-with-javascript. 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 microsoft/generative-ai-with-javascript?
    pass
    AI did not name microsoft/generative-ai-with-javascript — 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 microsoft/generative-ai-with-javascript in production, what risks or prerequisites should they evaluate first?
    pass
    AI named microsoft/generative-ai-with-javascript 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 microsoft/generative-ai-with-javascript solve, and who is the primary audience?
    pass
    AI did not name microsoft/generative-ai-with-javascript — 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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microsoft/generative-ai-with-javascript — 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