REPOGEO REPORT · LITE

didilili/ai-agents-from-zero

Default branch main · commit 403a60ec · scanned 5/27/2026, 8:28:05 AM

GitHub: 1,403 stars · 184 forks

AI VISIBILITY SCORE

27 /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

1 / 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 didilili/ai-agents-from-zero, 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

Clarify the README's opening sentence to explicitly state it's a comprehensive tutorial/guide

Why:

CURRENT

2026 持续更新中 · 目标打造「地表最强」AI Agent 教程 —— 系统教程 + 可跑源码 + 面试题库 + 企业级实战项目 + 长期技术栈更新，全面对齐「AI 智能体 / 大模型应用开发工程师」培训课表与招聘 JD 的一条龙学习路线

COPY-PASTE FIX

这是一个为AI智能体和大型语言模型应用开发工程师设计的**系统化、从零到企业级落地的实战教程**。本指南提供完整的学习路径、可运行的源码、实战项目和面试题库，旨在帮助开发者全面掌握AI Agent技术栈。

mediumabout#2

Shorten and clarify the repository description to emphasize its role as a comprehensive AI Agent tutorial

Why:

CURRENT

🚀 2026 最系统的 AI Agent 速成指南｜智能体实战教程 · 完整学习路径 + 实战项目 + 面试题库 · 对标大模型应用开发工程师岗位 · 覆盖LangChain / LangGraph / Coze / Dify / MCP / skills / LLM / RAG / 提示词 · 企业级部署与微调 · 从0到企业级落地 + 从学习到上线项目 + 面试准备一体化

COPY-PASTE FIX

2026 最系统的 AI Agent 速成指南：从零到企业级落地的智能体实战教程。包含完整学习路径、实战项目、面试题库，覆盖LangChain/LangGraph/Coze/Dify等，对标大模型应用开发工程师岗位。

lowtopics#3

Add topics that explicitly highlight the repository's nature as a tutorial or guide for AI agent development

Why:

CURRENT

agent, agent-framework, agentic-ai, ai-agent, aigc, coze, cursor, deepagents, dify, gpt, langchain, langgraph, llm, mcp, rag, skills, tutorial

COPY-PASTE FIX

agent, agent-framework, agentic-ai, ai-agent, aigc, coze, cursor, deepagents, dify, gpt, langchain, langgraph, llm, mcp, rag, skills, tutorial, ai-agent-tutorial, llm-tutorial, ai-agent-guide, llm-guide

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 didilili/ai-agents-from-zero

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Gymnasium

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

Gymnasium · recommended 2×
Scikit-learn · recommended 1×
Keras · recommended 1×
TensorFlow · recommended 1×
Python · recommended 1×

CATEGORY QUERY
Seeking a complete guide for developing AI agent applications, from beginner concepts to enterprise deployment.
you: not recommended
AI recommended (in order):
1. Scikit-learn
2. Keras
3. TensorFlow
4. Python
5. Coursera
6. LangChain
7. LlamaIndex
8. OpenAI API
9. Azure OpenAI Service
10. Hugging Face Transformers
11. Gymnasium
12. PyTorch
13. Faiss
14. Pinecone
15. Weaviate
16. Ray
17. Dask
18. Kubernetes
19. Apache Kafka
20. RabbitMQ
21. Docker
22. MLflow
23. Prometheus
24. Grafana
25. AWS SageMaker
26. Google Cloud Vertex AI
27. Azure Machine Learning
28. Terraform
29. Ansible
30. OpenTelemetry
31. ELK Stack
32. Elasticsearch
33. Logstash
34. Kibana
AI recommended 34 alternatives but never named didilili/ai-agents-from-zero. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What resources are available for building practical AI intelligent agent projects and understanding multi-agent systems?
you: not recommended
AI recommended (in order):
1. Mesa
2. NetLogo
3. Gymnasium
4. PettingZoo
5. RLlib
6. SPADE
7. JADE
AI recommended 7 alternatives but never named didilili/ai-agents-from-zero. 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 didilili/ai-agents-from-zero?
pass
AI did not name didilili/ai-agents-from-zero — 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 didilili/ai-agents-from-zero in production, what risks or prerequisites should they evaluate first?
pass
AI named didilili/ai-agents-from-zero 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 didilili/ai-agents-from-zero solve, and who is the primary audience?
pass
AI did not name didilili/ai-agents-from-zero — 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

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Brand-free category queries5 vs 2 in Lite
Prioritized action items8 vs 3 in Lite