RRepoGEO

REPOGEO REPORT · LITE

a16z-infra/ai-getting-started

Default branch main · commit b02e524a · scanned 5/12/2026, 12:52:46 PM

GitHub: 4,143 stars · 665 forks

AI VISIBILITY SCORE
28 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
2 / 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 a16z-infra/ai-getting-started, 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 relevant topics to the repository

    Why:

    COPY-PASTE FIX
    ai-stack, full-stack-ai, javascript-ai, nextjs-ai, ai-starter-kit, generative-ai, web-development, a16z-infra
  • highreadme#2
    Reposition README H1 to clearly state it's a full-stack AI starter kit

    Why:

    CURRENT
    # AI Getting Started
    COPY-PASTE FIX
    # AI Getting Started: A Full-Stack JavaScript Starter Kit for Generative AI Apps
  • mediumreadme#3
    Add a concise 'What is this?' section to the README

    Why:

    COPY-PASTE FIX
    ## What is this?

This repository provides a comprehensive, opinionated full-stack JavaScript starter kit for building modern Generative AI applications. It integrates popular tools like Next.js, Langchain.js, Pinecone, OpenAI, and Replicate, offering a ready-to-use architecture for your weekend projects and beyond. Think of it as a reference architecture and example application to quickly get you started with AI 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 a16z-infra/ai-getting-started
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Next.js
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Next.js · recommended 1×
  2. Vercel AI SDK · recommended 1×
  3. Remix · recommended 1×
  4. LangChain.js · recommended 1×
  5. SvelteKit · recommended 1×
  • CATEGORY QUERY
    How to quickly build a full-stack AI application using modern JavaScript frameworks?
    you: not recommended
    AI recommended (in order):
    1. Next.js
    2. Vercel AI SDK
    3. Remix
    4. LangChain.js
    5. SvelteKit
    6. Nuxt.js
    7. Astro

    AI recommended 7 alternatives but never named a16z-infra/ai-getting-started. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What is a good starter kit for integrating various AI models into web apps?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers.js (xenova/transformers.js)
    2. LangChain.js (langchain-ai/langchainjs)
    3. TensorFlow.js (tensorflow/tfjs)
    4. OpenAI API
    5. Next.js (vercel/next.js)
    6. Flask (pallets/flask)
    7. Django (django/django)
    8. Replicate API
    9. Vercel AI SDK (vercel/ai)
    10. LlamaIndex.js (run-llama/LlamaIndexTS)

    AI recommended 10 alternatives but never named a16z-infra/ai-getting-started. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    warn

    Suggestion:

  • 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 a16z-infra/ai-getting-started?
    pass
    AI did not name a16z-infra/ai-getting-started — 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 a16z-infra/ai-getting-started in production, what risks or prerequisites should they evaluate first?
    pass
    AI named a16z-infra/ai-getting-started 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 a16z-infra/ai-getting-started solve, and who is the primary audience?
    pass
    AI named a16z-infra/ai-getting-started explicitly

    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 a16z-infra/ai-getting-started. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/a16z-infra/ai-getting-started.svg)](https://repogeo.com/en/r/a16z-infra/ai-getting-started)
HTML
<a href="https://repogeo.com/en/r/a16z-infra/ai-getting-started"><img src="https://repogeo.com/badge/a16z-infra/ai-getting-started.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

a16z-infra/ai-getting-started — 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
a16z-infra/ai-getting-started — RepoGEO report