RRepoGEO

REPOGEO REPORT · LITE

GitHubDaily/ChatGPT-Prompt-Engineering-for-Developers-in-Chinese

Default branch main · commit 3fe96fb5 · scanned 6/18/2026, 1:58:03 PM

GitHub: 2,105 stars · 254 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
15 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
0 / 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 GitHubDaily/ChatGPT-Prompt-Engineering-for-Developers-in-Chinese, 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
  • highlicense#1
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a new file named `LICENSE` in the root of the repository and add the text of a standard open-source license, such as the MIT License, to it.
  • highreadme#2
    Clarify the README's opening paragraph to highlight its value as a localized educational resource

    Why:

    CURRENT
    该项目主要用于存放《面向开发者的 ChatGPT 提示词工程》非官方版中英双语字幕。
    COPY-PASTE FIX
    This project provides the **unofficial Chinese and English bilingual subtitles** for the highly acclaimed **DeepLearning.AI course, 'ChatGPT Prompt Engineering for Developers' by Andrew Ng and Iza Fulford**. It serves as an essential localized resource, enabling Chinese-speaking developers to easily access and master prompt engineering techniques.
  • mediumtopics#3
    Expand repository topics to include educational and localization terms

    Why:

    CURRENT
    chatgpt, chinese-translation, prompt-engineering, prompt-learning, subtitles
    COPY-PASTE FIX
    chatgpt, chinese-translation, prompt-engineering, prompt-learning, subtitles, ai-education, deeplearning-ai, course-materials, localization, chinese-developers

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 GitHubDaily/ChatGPT-Prompt-Engineering-for-Developers-in-Chinese
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. Anthropic's "Constitutional AI" and Prompt Engineering Documentation · recommended 1×
  4. Google's Prompt Engineering Guide · recommended 1×
  5. LearnPrompting.org · recommended 1×
  • CATEGORY QUERY
    How can developers learn to write better prompts 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. Anthropic's "Constitutional AI" and Prompt Engineering Documentation
    4. Google's Prompt Engineering Guide
    5. LearnPrompting.org
    6. LangChain
    7. r/PromptEngineering
    8. r/ChatGPT

    AI recommended 8 alternatives but never named GitHubDaily/ChatGPT-Prompt-Engineering-for-Developers-in-Chinese. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking educational materials on AI model interaction, ideally with Chinese language support.
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Learn
    2. Google AI Education
    3. Coursera
    4. Bilibili
    5. Kaggle Learn
    6. Tencent AI Lab
    7. Zhihu

    AI recommended 7 alternatives but never named GitHubDaily/ChatGPT-Prompt-Engineering-for-Developers-in-Chinese. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • 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 GitHubDaily/ChatGPT-Prompt-Engineering-for-Developers-in-Chinese?
    pass
    AI did not name GitHubDaily/ChatGPT-Prompt-Engineering-for-Developers-in-Chinese — 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 GitHubDaily/ChatGPT-Prompt-Engineering-for-Developers-in-Chinese in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name GitHubDaily/ChatGPT-Prompt-Engineering-for-Developers-in-Chinese — 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?

  • In one sentence, what problem does the repo GitHubDaily/ChatGPT-Prompt-Engineering-for-Developers-in-Chinese solve, and who is the primary audience?
    pass
    AI did not name GitHubDaily/ChatGPT-Prompt-Engineering-for-Developers-in-Chinese — 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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GitHubDaily/ChatGPT-Prompt-Engineering-for-Developers-in-Chinese — 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