RRepoGEO

REPOGEO REPORT · LITE

openai/gpt-5-coding-examples

Default branch main · commit 77f63227 · scanned 6/18/2026, 9:17:38 PM

GitHub: 1,881 stars · 288 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
33 /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
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 openai/gpt-5-coding-examples, 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
    Clarify the status of GPT-5 and the repository in the README introduction

    Why:

    CURRENT
    This repository contains a curated collection of demo applications generated entirely in a single GPT-5 or GPT-5.2 prompt, without writing any code by hand.
    COPY-PASTE FIX
    This repository contains a curated collection of demo applications, **hypothetically** generated entirely in a single GPT-5 or GPT-5.2 prompt, without writing any code by hand. **Please note: GPT-5 is a future model and not yet publicly released. This repository serves as a conceptual showcase of its potential coding capabilities.**
  • mediumreadme#2
    Rephrase the README's 'Build with GPT-5' section to emphasize inspiration and conceptual use

    Why:

    CURRENT
    If you want to experiment with similar prompts, you can try GPT-5 in your preferred coding environment: Codex CLI** – A lightweight coding agent that runs in your terminal. Your favorite IDE or coding tool** – Use GPT-5 within your existing workflow to generate and refine code. ChatGPT** – Open ChatGPT and choose GPT-5 to generate and preview code in the browser.
    COPY-PASTE FIX
    If you want to explore the *potential* of similar prompts, you can use these examples as inspiration for what a future GPT-5 might achieve. While GPT-5 is not yet available, you can experiment with current models in environments like: Codex CLI** – A lightweight coding agent that runs in your terminal. Your favorite IDE or coding tool** – Use current models within your existing workflow to generate and refine code. ChatGPT** – Open ChatGPT and choose a current model to generate and preview code in the browser.
  • lowtopics#3
    Add topics that highlight the repository's nature as a collection of examples/demos

    Why:

    CURRENT
    codex, coding, frontend, gpt, openai, web, website
    COPY-PASTE FIX
    codex, coding, demo, examples, frontend, gpt, openai, showcase, web, website

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/gpt-5-coding-examples
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
gradio-app/gradio
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. gradio-app/gradio · recommended 2×
  2. OpenAI Codex · recommended 1×
  3. GitHub Copilot · recommended 1×
  4. plasmicapp/plasmic · recommended 1×
  5. Anima App · recommended 1×
  • CATEGORY QUERY
    How can I quickly scaffold a new frontend web application from a natural language description?
    you: not recommended
    AI recommended (in order):
    1. Gradio (gradio-app/gradio)
    2. OpenAI Codex
    3. GitHub Copilot
    4. Plasmic (plasmicapp/plasmic)
    5. Anima App
    6. Yeoman (yeoman/yeoman)
    7. Nx Dev Tools (nrwl/nx)

    AI recommended 7 alternatives but never named openai/gpt-5-coding-examples. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help generate interactive UI components and web pages using AI prompts?
    you: not recommended
    AI recommended (in order):
    1. Gradio (gradio-app/gradio)
    2. Streamlit (streamlit/streamlit)
    3. Dify.AI (dify-ai/dify)
    4. Vercel AI SDK (vercel/ai)
    5. Microsoft Power Apps
    6. Microsoft Power Pages
    7. Anima
    8. Locofy.ai

    AI recommended 8 alternatives but never named openai/gpt-5-coding-examples. 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/gpt-5-coding-examples?
    pass
    AI named openai/gpt-5-coding-examples 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/gpt-5-coding-examples in production, what risks or prerequisites should they evaluate first?
    pass
    AI named openai/gpt-5-coding-examples 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/gpt-5-coding-examples solve, and who is the primary audience?
    pass
    AI did not name openai/gpt-5-coding-examples — 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/gpt-5-coding-examples — 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