REPOGEO REPORT · LITE

liyupi/codefather

Default branch main · commit c982721f · scanned 6/21/2026, 2:36:57 AM

GitHub: 7,731 stars · 1,299 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

35 /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

3 / 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 liyupi/codefather, 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 introduction to clarify purpose and negate misinterpretations

Why:

CURRENT

# 鱼皮的编程宝典

> 贴心的编程学习路线，全面的编程知识百科

COPY-PASTE FIX

# 鱼皮的编程宝典

> 贴心的编程学习路线，全面的编程知识百科

This repository, '鱼皮的编程宝典' (Fish Skin's Programming Treasure), is a comprehensive programming learning platform and knowledge encyclopedia, offering detailed roadmaps, tutorials, and career guidance. It is NOT a code generation tool.

highlicense#2
Add a LICENSE file to the repository
Why:
COPY-PASTE FIX
```
Create a LICENSE file in the repository root with the MIT License text.
```

mediumreadme#3

Expand README introduction with specific keywords for learning and AI development

Why:

COPY-PASTE FIX

Add a sentence to the README's introductory section: 'This platform provides comprehensive programming learning roadmaps, practical tutorials for AI application development, and essential resources for job preparation and career guidance for all levels of programmers.'

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 liyupi/codefather

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

edX

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

edX · recommended 2×
Udemy · recommended 2×
GitHub · recommended 2×
roadmap.sh · recommended 1×
freeCodeCamp.org · recommended 1×

CATEGORY QUERY
Where can I find detailed learning roadmaps for various programming languages and AI development?
you: not recommended
AI recommended (in order):
1. roadmap.sh
2. freeCodeCamp.org
3. Coursera
4. edX
5. Google Developers
6. Microsoft Learn
7. Udemy
8. Pluralsight
9. GitHub
AI recommended 9 alternatives but never named liyupi/codefather. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Looking for practical tutorials on AI application development and job preparation resources for programmers.
you: not recommended
AI recommended (in order):
1. DeepLearning.AI
2. TensorFlow
3. Hugging Face Transformers Library
4. PyTorch
5. Hugging Face Spaces
6. fastai
7. Google Cloud AI Platform
8. Vertex AI Workbench
9. Vertex AI Training
10. Vertex AI Prediction
11. Colab notebooks
12. TorchScript
13. Kaggle Competitions
14. Kaggle Learn
15. LeetCode
16. HackerRank
17. GitHub
18. LinkedIn Learning
19. Udemy
20. edX
21. Kubeflow
22. MLflow
23. Docker
24. Kubernetes
25. AWS SageMaker
26. Azure Machine Learning
27. scikit-learn
28. XGBoost
29. LightGBM
30. Google AI
31. Meta AI
32. OpenAI
33. DeepMind
AI recommended 33 alternatives but never named liyupi/codefather. 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 liyupi/codefather?
pass
AI named liyupi/codefather explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts liyupi/codefather in production, what risks or prerequisites should they evaluate first?
pass
AI named liyupi/codefather 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 liyupi/codefather solve, and who is the primary audience?
pass
AI named liyupi/codefather explicitly
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 liyupi/codefather. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

Live preview

MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/liyupi/codefather.svg)](https://repogeo.com/en/r/liyupi/codefather)

HTML

<a href="https://repogeo.com/en/r/liyupi/codefather"><img src="https://repogeo.com/badge/liyupi/codefather.svg" alt="RepoGEO" /></a>

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liyupi/codefather — 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