RRepoGEO

REPOGEO REPORT · LITE

wuchangming/chatgpt-query-engineer-handbook

Default branch main · commit b7e710f0 · scanned 5/29/2026, 9:43:00 AM

GitHub: 690 stars · 38 forks

AI VISIBILITY SCORE
28 /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
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 wuchangming/chatgpt-query-engineer-handbook, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Add an explicit English subtitle to the README's main heading

    Why:

    CURRENT
    # 🤖️ChatGPT 提问工程师 -- 开发指南
    COPY-PASTE FIX
    # 🤖️ChatGPT 提问工程师 -- 开发指南

A Practical Prompt Engineering Handbook for Developers working with ChatGPT
  • mediumhomepage#2
    Add a homepage URL to the repository

    Why:

    COPY-PASTE FIX
    https://github.com/wuchangming/chatgpt-query-engineer-handbook

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 wuchangming/chatgpt-query-engineer-handbook
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GitHub Copilot
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. GitHub Copilot · recommended 2×
  2. Cursor · recommended 2×
  3. ChatGPT · recommended 1×
  4. Google Gemini · recommended 1×
  5. Claude · recommended 1×
  • CATEGORY QUERY
    What are best practices for prompting large language models to generate accurate code?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot
    2. ChatGPT
    3. Google Gemini
    4. Claude
    5. Tabnine
    6. Replit AI
    7. Cursor

    AI recommended 7 alternatives but never named wuchangming/chatgpt-query-engineer-handbook. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find a guide on structuring AI prompts for software development tasks?
    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 "Prompt Engineering" Documentation
    4. Google's "Prompt Engineering Guide"
    5. GitHub Copilot
    6. Cursor
    7. Code Llama

    AI recommended 7 alternatives but never named wuchangming/chatgpt-query-engineer-handbook. 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 wuchangming/chatgpt-query-engineer-handbook?
    pass
    AI named wuchangming/chatgpt-query-engineer-handbook explicitly

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

  • If a team adopts wuchangming/chatgpt-query-engineer-handbook in production, what risks or prerequisites should they evaluate first?
    pass
    AI named wuchangming/chatgpt-query-engineer-handbook 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 wuchangming/chatgpt-query-engineer-handbook solve, and who is the primary audience?
    pass
    AI did not name wuchangming/chatgpt-query-engineer-handbook — 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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wuchangming/chatgpt-query-engineer-handbook — 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