REPOGEO REPORT · LITE

xianyu110/awesome-openclaw-tutorial

Default branch main · commit 2b741640 · scanned 6/20/2026, 3:33:08 AM

GitHub: 4,491 stars · 672 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

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 xianyu110/awesome-openclaw-tutorial, 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 the README's H1 and tagline to explicitly state its purpose as an AI work assistant tutorial

Why:

CURRENT

# 🦞 Awesome OpenClaw Tutorial
# 🦞 一本书玩转OpenClaw：超级个体实战指南
> 从零开始打造你的AI工作助手：最全面的中文教程，涵盖安装、配置、实战案例和避坑指南

COPY-PASTE FIX

# 🦞 OpenClaw AI 工作助手实战指南：最全面的中文教程
> 从零开始玩转OpenClaw，打造你的专属AI工作助手，涵盖安装、配置、实战案例和避坑指南

hightopics#2

Add more descriptive topics to accurately reflect the repository's content

Why:

CURRENT

openclaw, openclaw-skills

COPY-PASTE FIX

openclaw-ai, ai-assistants, intelligent-automation, ai-agents, tutorial, chinese-guide, ai-workflow, automation-agents

mediumreadme#3
Clarify the project's license directly in the README
Why:
COPY-PASTE FIX
```
请参阅 `LICENSE` 文件了解本项目的具体许可条款。
```

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 xianyu110/awesome-openclaw-tutorial

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

OpenAI API

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

OpenAI API · recommended 1×
scikit-learn/scikit-learn · recommended 1×
keras-team/keras · recommended 1×
tensorflow/tensorflow · recommended 1×
pytorch/pytorch · recommended 1×

CATEGORY QUERY
Where can I find a comprehensive guide to building and deploying AI work assistants from scratch?
you: not recommended
AI recommended (in order):
1. OpenAI API
2. Scikit-Learn (scikit-learn/scikit-learn)
3. Keras (keras-team/keras)
4. TensorFlow (tensorflow/tensorflow)
5. PyTorch (pytorch/pytorch)
6. fast.ai (fastai/fastai)
7. Docker
8. Kubernetes (kubernetes/kubernetes)
9. Google Cloud AI Platform
10. Vertex AI
11. AWS SageMaker
12. Azure Machine Learning
13. Azure ML Studio
AI recommended 13 alternatives but never named xianyu110/awesome-openclaw-tutorial. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Seeking practical examples and troubleshooting tips for developing intelligent automation agents with memory features.
you: not recommended
AI recommended (in order):
1. LangChain
2. OpenAI
3. LlamaIndex
4. Pinecone
5. Weaviate
6. ChromaDB
7. Microsoft Semantic Kernel
8. AzureCognitiveSearchMemoryStore
9. Haystack
10. Redis
11. PostgreSQL
12. pgvector
AI recommended 12 alternatives but never named xianyu110/awesome-openclaw-tutorial. 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 xianyu110/awesome-openclaw-tutorial?
pass
AI did not name xianyu110/awesome-openclaw-tutorial — 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 xianyu110/awesome-openclaw-tutorial in production, what risks or prerequisites should they evaluate first?
pass
AI did not name xianyu110/awesome-openclaw-tutorial — 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 xianyu110/awesome-openclaw-tutorial solve, and who is the primary audience?
pass
AI did not name xianyu110/awesome-openclaw-tutorial — 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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xianyu110/awesome-openclaw-tutorial — 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