REPOGEO REPORT · LITE

yunwei37/Prompt-Engineering-Guide-zh-CN

Default branch main · commit ec8e4a11 · scanned 6/24/2026, 2:07:43 AM

GitHub: 1,020 stars · 96 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)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE

20 /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

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 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

highreadme#1

Reposition README H1 and opening paragraph to specify it's the Chinese translation

Why:

CURRENT

# 提示词工程指南
提示工程是一门相对较新的学科...

COPY-PASTE FIX

# 提示词工程指南 (中文版)
这是 [dair-ai/Prompt-Engineering-Guide](https://github.com/dair-ai/Prompt-Engineering-Guide) 的官方中文翻译版本。提示工程是一门相对较新的学科...

mediumhomepage#2
Update the 'Homepage' field to point to this specific repository
Why:
CURRENT
```
https://github.com/dair-ai/Prompt-Engineering-Guide
```
COPY-PASTE FIX
```
https://github.com/yunwei37/Prompt-Engineering-Guide-zh-CN
```

lowreadme#3

Add a section to the README clarifying the license

Why:

COPY-PASTE FIX

## 许可证
本指南遵循 [dair-ai/Prompt-Engineering-Guide](https://github.com/dair-ai/Prompt-Engineering-Guide) 的原始许可协议。请参阅 [LICENSE](LICENSE) 文件了解详细信息。

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

Of all named tools, what % are you?

Top rival

OpenAI's Prompt Engineering Guide

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

OpenAI's Prompt Engineering Guide · recommended 1×
DeepLearning.AI's "Prompt Engineering for Developers" Course · recommended 1×
LearnPrompting.org · recommended 1×
Google's Prompt Engineering Guide · recommended 1×
Anthropic's 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. Anthropic's Prompt Engineering Guide
6. Prompt Engineering Subreddit (r/PromptEngineering)
7. "The Art of Prompt Engineering" by Google Cloud
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 the best practices for designing effective prompts to interact with LLMs?
you: not recommended
AI recommended (in order):
1. OpenAI Playground
2. LangChain
3. LlamaIndex
4. Weights & Biases
5. Humanloop
6. Guidance
7. PromptLayer
AI recommended 7 alternatives but never named yunwei37/Prompt-Engineering-Guide-zh-CN. 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 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 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?
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?

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MARKDOWN (README)

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HTML

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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