RRepoGEO

REPOGEO REPORT · LITE

groq/groq-appgen

Default branch main · commit d5c8e96b · scanned 6/7/2026, 2:27:47 AM

GitHub: 648 stars · 185 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 groq/groq-appgen, 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 README opening to clarify project type and core capabilities

    Why:

    CURRENT
    # Groq App Generator

An interactive web application that generates and modifies web applications using Groq's LLM API. Built with Next.js and TypeScript.
    COPY-PASTE FIX
    # Groq App Generator

An interactive web application built with Next.js and TypeScript that leverages Groq's GroqCloud API, specifically Llama 3.3 70B, to generate and iteratively modify web applications from natural language prompts, with a strong focus on HTML codegen.
  • hightopics#2
    Update repository topics to reflect project domain and tech stack

    Why:

    CURRENT
    managed-by-terraform
    COPY-PASTE FIX
    nextjs, typescript, llm, code-generation, web-application, groq, llama, ai-assistant, frontend-development, html-codegen, iterative-development, natural-language-processing
  • mediumreadme#3
    Add a differentiator statement to the README

    Why:

    COPY-PASTE FIX
    Add the following sentence after the initial project description: "Leveraging Groq's LPU Inference Engine, App Generator offers significantly faster application generation compared to solutions using other LLMs, enabling rapid prototyping and 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 groq/groq-appgen
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GitHub Copilot X
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GitHub Copilot X · recommended 1×
  2. Vercel v0 · recommended 1×
  3. ChatGPT · recommended 1×
  4. Google Gemini · recommended 1×
  5. Replit AI · recommended 1×
  • CATEGORY QUERY
    How can I generate interactive web application code from natural language prompts?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot X
    2. Vercel v0
    3. ChatGPT
    4. Google Gemini
    5. Replit AI
    6. Locofy.ai
    7. Durable.co

    AI recommended 7 alternatives but never named groq/groq-appgen. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a tool for iterative web application development with large language models.
    you: not recommended
    AI recommended (in order):
    1. Streamlit (streamlit/streamlit)
    2. Gradio (gradio-app/gradio)
    3. Next.js (vercel/next.js)
    4. Vercel AI SDK (vercel/ai)
    5. Panel (holoviz/panel)
    6. FastAPI (tiangolo/fastapi)
    7. React (facebook/react)
    8. Vue.js (vuejs/core)
    9. Svelte (sveltejs/svelte)
    10. LangChain (langchain-ai/langchain)

    AI recommended 10 alternatives but never named groq/groq-appgen. 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 groq/groq-appgen?
    pass
    AI did not name groq/groq-appgen — 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 groq/groq-appgen in production, what risks or prerequisites should they evaluate first?
    pass
    AI named groq/groq-appgen 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 groq/groq-appgen solve, and who is the primary audience?
    pass
    AI did not name groq/groq-appgen — 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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