REPOGEO REPORT · LITE
xianyu110/awesome-openclaw-tutorial
Default branch main · commit 934fbff3 · scanned 5/10/2026, 5:07:45 AM
GitHub: 4,373 stars · 649 forks
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.
- highreadme#1Reposition the README H1 to explicitly mention 'AI Agent'
Why:
CURRENT# 🦞 Awesome OpenClaw Tutorial
COPY-PASTE FIX# 🦞 Awesome OpenClaw AI Agent Tutorial
- hightopics#2Add broader AI-related topics
Why:
CURRENTopenclaw, openclaw-skills
COPY-PASTE FIXopenclaw, openclaw-skills, ai-agents, llm, generative-ai, ai-assistant, automation
- mediumreadme#3Clarify the repository's license in the README
Why:
COPY-PASTE FIX## 📄 License 本教程内容遵循 [LICENSE 文件中指定的许可协议] 发布。 (This tutorial content is released under the license(s) specified in the LICENSE file.)
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.
- LangChain · recommended 2×
- LlamaIndex · recommended 2×
- Pinecone · recommended 2×
- Weaviate · recommended 2×
- Chroma · recommended 2×
- CATEGORY QUERYLooking for a comprehensive guide to build and configure an AI work assistant.you: not recommendedAI recommended (in order):
- LangChain
- LlamaIndex
- OpenAI API
- Azure OpenAI Service
- Hugging Face Transformers
- Hugging Face Inference API
- Pinecone
- Weaviate
- Chroma
- Streamlit
- Gradio
- Docker
- Kubernetes
AI recommended 13 alternatives but never named xianyu110/awesome-openclaw-tutorial. This is the gap to close.
Show full AI answer
- CATEGORY QUERYHow to implement intelligent automation with AI agents, including practical examples and troubleshooting?you: not recommendedAI recommended (in order):
- LangChain
- LlamaIndex
- Microsoft AutoGen
- Haystack
- CrewAI
- OpenAI Assistants API
- Google Cloud Vertex AI Agent Builder
- OpenAI GPT-4
- GPT-3.5 Turbo
- Anthropic Claude 3 Opus
- Sonnet
- Google Gemini
- Mistral Large
- Mixtral 8x7B
- Google Search API
- DuckDuckGo
- SerpAPI
- SQLAlchemy
- MongoDB
- Elasticsearch
- Salesforce
- SAP
- Google Calendar API
- Outlook Calendar API
- Gmail API
- Pinecone
- Chroma
- Weaviate
- Qdrant
- AWS Lambda
- Google Cloud Run
- Azure Functions
- Docker
- Kubernetes
- FastAPI
- Flask
- Django
AI recommended 37 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 completenesspass
- README presencepass
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?passAI 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?passAI 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?passAI 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?
Embed your GEO score
Drop this badge into the README of xianyu110/awesome-openclaw-tutorial. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.
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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