REPOGEO REPORT · LITE

liyupi/yu-ai-agent

Default branch master · commit 6d4608c5 · scanned 5/21/2026, 9:33:41 AM

GitHub: 2,283 stars · 520 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

22 /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

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 liyupi/yu-ai-agent, 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

highabout#1

Clarify 'tutorial project' in the About description

Why:

CURRENT

编程导航 2025 年 AI 开发实战新项目，基于 Spring Boot 3 + Java 21 + Spring AI 构建 AI 恋爱大师应用和 ReAct 模式自主规划智能体YuManus，覆盖 AI 大模型接入、Spring AI 核心特性、Prompt 工程和优化、RAG 检索增强、向量数据库、Tool Calling 工具调用、MCP 模型上下文协议、AI Agent 开发（Manas Java 实现）、Cursor AI 工具等核心知识。用一套教程将程序员必知必会的 AI 技术一网打尽，帮你成为 AI 时代企业的香饽饽，给你的简历和求职大幅增加竞争力。

COPY-PASTE FIX

编程导航 2025 年 AI 开发实战新项目教程，基于 Spring Boot 3 + Java 21 + Spring AI 构建 AI 恋爱大师应用和 ReAct 模式自主规划智能体YuManus。本教程覆盖 AI 大模型接入、Spring AI 核心特性、Prompt 工程和优化、RAG 检索增强、向量数据库、Tool Calling 工具调用、MCP 模型上下文协议、AI Agent 开发（Manas Java 实现）、Cursor AI 工具等核心知识，旨在帮助程序员掌握AI技术，提升求职竞争力。

highreadme#2
Update README H1 to emphasize 'tutorial' and 'Spring AI + Java'
Why:
CURRENT
```
# AI 超级智能体项目
```
COPY-PASTE FIX
```
# AI 超级智能体项目：Spring AI + Java 实战教程
```

highlicense#3

Add a LICENSE file to the repository

Why:

CURRENT

(no LICENSE file detected — the repo has no recognizable license)

COPY-PASTE FIX

Create a `LICENSE` file in the repository root with the text of your chosen open-source license (e.g., MIT, Apache-2.0, GPL-3.0).

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/yu-ai-agent

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Spring AI

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

Spring AI · recommended 2×
OpenAI GPT-4o · recommended 1×
OpenAI GPT-4 Turbo · recommended 1×
Google Gemini 1.5 Pro · recommended 1×
Azure OpenAI Service · recommended 1×

CATEGORY QUERY
How to build a ReAct pattern AI agent using Spring AI and Java?
you: not recommended
AI recommended (in order):
1. Spring AI
2. OpenAI GPT-4o
3. OpenAI GPT-4 Turbo
4. Google Gemini 1.5 Pro
5. Azure OpenAI Service
6. Spring WebClient
7. RestTemplate
8. Spring Data JPA
9. JDBC
10. Spring State Machine
11. Jackson
AI recommended 11 alternatives but never named liyupi/yu-ai-agent. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Seeking a practical guide for AI application development in Java, covering RAG and tool calling.
you: not recommended
AI recommended (in order):
1. Spring AI
2. LangChain4j
3. Hugging Face Transformers
4. Deeplearning4j (DL4J)
5. ONNX Runtime Java API
6. JTransformer
7. OpenAI Java Client Library
8. openai-java
9. Azure OpenAI SDK for Java
10. Google Cloud Client Library for Java
11. Chroma
12. Milvus
13. Pinecone
14. Weaviate
15. Qdrant
16. pgvector
AI recommended 16 alternatives but never named liyupi/yu-ai-agent. 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/yu-ai-agent?
pass
AI did not name liyupi/yu-ai-agent — 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 liyupi/yu-ai-agent in production, what risks or prerequisites should they evaluate first?
pass
AI named liyupi/yu-ai-agent 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/yu-ai-agent solve, and who is the primary audience?
pass
AI did not name liyupi/yu-ai-agent — 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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Pro

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liyupi/yu-ai-agent — 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