RRepoGEO

REPOGEO REPORT · LITE

langgptai/wonderful-prompts

Default branch main · commit 1a8b287f · scanned 5/30/2026, 1:22:41 AM

GitHub: 6,033 stars · 523 forks

AI VISIBILITY SCORE
40 /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
3 / 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 langgptai/wonderful-prompts, 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
    Broaden the README's opening statement to reflect multi-AI model support

    Why:

    CURRENT
    🔥中文 prompts 精选,提升 ChatGPT 可玩性和可用性!上百个高质量 prompt 让你得心应手的驾驭 AI 🚀。
    本项目是 ChatGPT 中文指南作者 优化、精选的系列中文 ChatGPT Prompts,并提供图文使用示例,让大家能够更好的学习使用 ChatGPT。
    COPY-PASTE FIX
    🔥中文 prompts 精选,提升 AI 模型(如 ChatGPT, Stable Diffusion, Stable Audio 等)的可玩性和可用性!本项目提供上百个高质量中文 Prompt,并附带图文使用示例,助你轻松驾驭各类 AI 🚀。由 ChatGPT 中文指南作者优化、精选。
  • mediumreadme#2
    Add a 'Why Choose Wonderful Prompts?' section to highlight unique value

    Why:

    COPY-PASTE FIX
    ## 为什么选择 Wonderful Prompts?
    
    - **中文精选:** 专注于高质量中文 Prompt,更贴合中文用户习惯与需求。
    - **多模型支持:** 不仅限于 ChatGPT,还包含 Stable Diffusion、Stable Audio 等多种 AI 模型的提示词。
    - **图文示例:** 每个 Prompt 都配有详细的图文使用教程,助你快速上手。
    - **持续更新:** 项目内容定期更新,确保 Prompt 的时效性和有效性。
  • lowreadme#3
    Update multi-model list to include Midjourney

    Why:

    CURRENT
    多模型支持:不仅限于 ChatGPT,还包含 Stable Diffusion、Stable Audio 等多种 AI 模型的提示词。
    COPY-PASTE FIX
    多模型支持:不仅限于 ChatGPT,还包含 Stable Diffusion、Midjourney、Stable Audio 等多种 AI 模型的提示词。

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 langgptai/wonderful-prompts
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI's Prompt Engineering Guide
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI's Prompt Engineering Guide · recommended 2×
  2. Prompt Engineering Guide · recommended 1×
  3. Awesome-Prompts · recommended 1×
  4. Learn Prompting · recommended 1×
  5. Anthropic's Prompt Engineering Guide · recommended 1×
  • CATEGORY QUERY
    Where can I find a curated collection of effective prompt templates for large language models?
    you: not recommended
    AI recommended (in order):
    1. Prompt Engineering Guide
    2. Awesome-Prompts
    3. Learn Prompting
    4. OpenAI's Prompt Engineering Guide
    5. Anthropic's Prompt Engineering Guide
    6. Hugging Face's Prompt Engineering Course/Resources
    7. PromptBase

    AI recommended 7 alternatives but never named langgptai/wonderful-prompts. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I improve my AI assistant interactions using well-structured prompt engineering guidance?
    you: not recommended
    AI recommended (in order):
    1. OpenAI's Prompt Engineering Guide
    2. Anthropic's Constitutional AI and Prompt Engineering Best Practices
    3. LangChain (langchain-ai/langchain)
    4. LlamaIndex (run-llama/llama_index)
    5. PromptPerfect
    6. Weights & Biases Prompts (wandb/wandb)
    7. Humanloop

    AI recommended 7 alternatives but never named langgptai/wonderful-prompts. 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 langgptai/wonderful-prompts?
    pass
    AI named langgptai/wonderful-prompts explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts langgptai/wonderful-prompts in production, what risks or prerequisites should they evaluate first?
    pass
    AI named langgptai/wonderful-prompts 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 langgptai/wonderful-prompts solve, and who is the primary audience?
    pass
    AI named langgptai/wonderful-prompts 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 langgptai/wonderful-prompts. 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/langgptai/wonderful-prompts.svg)](https://repogeo.com/en/r/langgptai/wonderful-prompts)
HTML
<a href="https://repogeo.com/en/r/langgptai/wonderful-prompts"><img src="https://repogeo.com/badge/langgptai/wonderful-prompts.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

langgptai/wonderful-prompts — 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