RRepoGEO

REPOGEO REPORT · LITE

openai/gpt-5-coding-examples

Default branch main · commit 77f63227 · scanned 5/9/2026, 2:22:49 AM

GitHub: 1,883 stars · 287 forks

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 demonstrative nature of 'GPT-5' examples in the README's opening

    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, **serving as a preview of what can be generated entirely in a single GPT-5 or GPT-5.2 prompt**, without writing any code by hand.
  • hightopics#2
    Add more specific topics related to AI code generation and UI building

    Why:

    CURRENT
    codex, coding, frontend, gpt, openai, web, website
    COPY-PASTE FIX
    codex, coding, frontend, gpt, openai, web, website, ai-code-generation, ui-builder, text-to-code, generative-ai, prompt-engineering
  • mediumreadme#3
    Emphasize the core value proposition of scaffolding websites/UIs from natural language

    Why:

    CURRENT
    These demos were selected to showcase the model’s strengths in coding — especially quickly scaffolding websites, front-end applications, games, and interactive UIs from natural-language descriptions. They’re intended as inspiration for you to build your own ideas.
    COPY-PASTE FIX
    These demos highlight the model’s core strength: **rapidly scaffolding complete websites, front-end applications, games, and interactive UIs directly from natural-language descriptions.** They are intended as inspiration for you to build your own ideas and explore the power of AI-driven 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 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
Gleek.ai
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Gleek.ai · recommended 1×
  2. Durable.co · recommended 1×
  3. Pineapple Builder · recommended 1×
  4. Locofy.ai · recommended 1×
  5. Anima · recommended 1×
  • CATEGORY QUERY
    How to quickly generate website frontend code from text descriptions?
    you: not recommended
    AI recommended (in order):
    1. Gleek.ai
    2. Durable.co
    3. Pineapple Builder
    4. Locofy.ai
    5. Anima
    6. ChatGPT
    7. GitHub Copilot

    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 create interactive UI components using natural language prompts?
    you: not recommended
    AI recommended (in order):
    1. Gradio
    2. Streamlit
    3. Dify
    4. Microsoft Power Apps
    5. Bubble
    6. AppGyver (SAP Build Apps)

    AI recommended 6 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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