RRepoGEO

REPOGEO REPORT · LITE

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

Default branch main · commit 3fe96fb5 · scanned 5/8/2026, 9:28:13 PM

GitHub: 2,102 stars · 253 forks

AI VISIBILITY SCORE
22 /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
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 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
  • highreadme#1
    Reposition README opening to highlight its value as a translated learning resource

    Why:

    CURRENT
    # 《ChatGPT Prompt Engineering for Developers》中英双语字幕

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
    # 《ChatGPT Prompt Engineering for Developers》中英双语字幕

本项目提供《面向开发者的 ChatGPT 提示词工程》课程的非官方中英双语字幕及配套代码笔记，旨在为中文开发者提供完整的学习资源。
  • mediumlicense#2
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a LICENSE file (e.g., MIT or Apache-2.0) in the root of the repository to clearly state the terms of use for the subtitles and notebooks.
  • mediumtopics#3
    Add more specific educational and course-related topics

    Why:

    CURRENT
    chatgpt, chinese-translation, prompt-engineering, prompt-learning, subtitles
    COPY-PASTE FIX
    chatgpt, chinese-translation, prompt-engineering, prompt-learning, subtitles, deeplearning-ai, openai-course, educational-resource, ai-learning

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
DeepLearning.AI
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. DeepLearning.AI · recommended 2×
  2. OpenAI Cookbook · recommended 1×
  3. Learn Prompting · recommended 1×
  4. Anthropic · recommended 1×
  5. Google · recommended 1×
  • CATEGORY QUERY
    What resources help developers learn effective prompt engineering for AI tools?
    you: not recommended
    AI recommended (in order):
    1. OpenAI Cookbook
    2. DeepLearning.AI
    3. Learn Prompting
    4. Anthropic
    5. Google
    6. Awesome Prompt Engineering
    7. Hugging Face Transformers

    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
  • CATEGORY QUERY
    Where can I find translated educational materials on optimizing AI assistant prompts?
    you: not recommended
    AI recommended (in order):
    1. Google AI
    2. OpenAI
    3. Hugging Face
    4. DeepLearning.AI
    5. Microsoft Learn
    6. GitHub

    AI recommended 6 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 named GitHubDaily/ChatGPT-Prompt-Engineering-for-Developers-in-Chinese 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 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?

Embed your GEO score

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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