RRepoGEO

REPOGEO REPORT · LITE

yunwei37/Prompt-Engineering-Guide-zh-CN

Default branch main · commit ec8e4a11 · scanned 5/25/2026, 2:02:54 AM

GitHub: 1,004 stars · 92 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 yunwei37/Prompt-Engineering-Guide-zh-CN, 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
  • highhomepage#1
    Update 'Homepage' field to the correct Chinese web version URL

    Why:

    CURRENT
    https://github.com/dair-ai/Prompt-Engineering-Guide
    COPY-PASTE FIX
    Update the 'Homepage' field in your repository settings to the correct URL for the Chinese web version mentioned in your README. If no dedicated web version exists, consider removing the 'Homepage' field to avoid misdirection.
  • highreadme#2
    Reposition README's opening to emphasize it's the Chinese guide

    Why:

    CURRENT
    提示工程是一门相对较新的学科，用于开发和优化提示，以高效地利用语言模型（LMs）以应用于各种应用和研究主题。提示工程技能有助于更好地理解大型语言模型（LLMs）的能力和局限性。研究人员使用提示工程来提高LLMs在广泛的常见和复杂任务（如问答和算术推理）上的能力。开发人员使用提示工程来设计强大而有效的提示技术，以与LLMs和其他工具进行交互。
    COPY-PASTE FIX
    本指南是关于提示词工程（prompt engineering）的**中文版**综合资源，旨在帮助中文使用者开发和优化提示，以高效地利用大型语言模型（LLMs）应用于各种应用和研究主题。提示工程是一门相对较新的学科，其技能有助于更好地理解LLMs的能力和局限性。研究人员和开发人员都可以利用本指南来提高LLMs在广泛任务上的能力，并设计强大有效的提示技术。
  • mediumtopics#3
    Add language and format-specific topics

    Why:

    CURRENT
    chatgpt, gpt, gpt4, openai, prompt, prompt-engineering
    COPY-PASTE FIX
    chatgpt, gpt, gpt4, openai, prompt, prompt-engineering, chinese, zh-cn, guide

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 yunwei37/Prompt-Engineering-Guide-zh-CN
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 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI's Prompt Engineering Guide · recommended 1×
  2. DeepLearning.AI's "Prompt Engineering for Developers" Course · recommended 1×
  3. LearnPrompting.org · recommended 1×
  4. Google's Prompt Engineering Guide · recommended 1×
  5. dair-ai/Prompt-Engineering-Guide · recommended 1×
  • CATEGORY QUERY
    Where can I find comprehensive resources to learn prompt engineering for large language models?
    you: not recommended
    AI recommended (in order):
    1. OpenAI's Prompt Engineering Guide
    2. DeepLearning.AI's "Prompt Engineering for Developers" Course
    3. LearnPrompting.org
    4. Google's Prompt Engineering Guide
    5. Prompt Engineering Guide (dair-ai/Prompt-Engineering-Guide)
    6. "The Art of Prompt Engineering" by Google Cloud
    7. Awesome Prompt Engineering

    AI recommended 7 alternatives but never named yunwei37/Prompt-Engineering-Guide-zh-CN. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are effective techniques for optimizing prompts to improve LLM application performance?
    you: not recommended
    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 yunwei37/Prompt-Engineering-Guide-zh-CN?
    pass
    AI did not name yunwei37/Prompt-Engineering-Guide-zh-CN — 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 yunwei37/Prompt-Engineering-Guide-zh-CN in production, what risks or prerequisites should they evaluate first?
    pass
    AI named yunwei37/Prompt-Engineering-Guide-zh-CN 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 yunwei37/Prompt-Engineering-Guide-zh-CN solve, and who is the primary audience?
    pass
    AI did not name yunwei37/Prompt-Engineering-Guide-zh-CN — 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?

Embed your GEO score

Drop this badge into the README of yunwei37/Prompt-Engineering-Guide-zh-CN. 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/yunwei37/Prompt-Engineering-Guide-zh-CN.svg)](https://repogeo.com/en/r/yunwei37/Prompt-Engineering-Guide-zh-CN)
HTML
<a href="https://repogeo.com/en/r/yunwei37/Prompt-Engineering-Guide-zh-CN"><img src="https://repogeo.com/badge/yunwei37/Prompt-Engineering-Guide-zh-CN.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

yunwei37/Prompt-Engineering-Guide-zh-CN — 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