RRepoGEO

REPOGEO REPORT · LITE

AntonyCheng/spring-boot-init-template

Default branch master · commit bd42361d · scanned 6/11/2026, 3:22:08 AM

GitHub: 533 stars · 108 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
28 /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
2 / 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 AntonyCheng/spring-boot-init-template, 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 main heading and opening paragraph to emphasize AI and enterprise features

    Why:

    CURRENT
    # SpringBoot初始化模板
**基于 Java Web 项目的 SpringBoot 框架初始化模板**，该模板整合了常用的框架，广泛支持JDK11和JDK17，部分版本兼容JDK8，该模板适用于前后端分离项目启动开发，保证大家在此基础上能够快速开发自己的项目，同时也适合入门学习，本项目会由作者持续更新。
    COPY-PASTE FIX
    ## 🚀 AntonyCheng/spring-boot-init-template: 现代企业级Spring Boot AI开发模板

**基于 Java Web 项目的 SpringBoot 框架初始化模板，深度整合最新Spring AI，并预配置Mybatis-Plus、ShardingSphere、Redis、RabbitMQ、Elasticsearch、SaToken、OSS、Caffeine、MongoDB等主流企业级技术栈。** 本模板广泛支持JDK11/JDK17（部分兼容JDK8），专为前后端分离项目设计，旨在帮助开发者快速启动并构建高性能、AI驱动的应用程序，同时也是Spring Boot入门学习的理想选择。本项目将持续更新，确保技术栈的先进性与稳定性。
  • hightopics#2
    Add more descriptive topics to improve category visibility

    Why:

    CURRENT
    caffeine, elastic, minio, mongodb, mybatis-plus, ollama, rabbitmq, redis, satoken, shardingsphere-jdbc, springai, springboot2, springboot3
    COPY-PASTE FIX
    caffeine, elastic, minio, mongodb, mybatis-plus, ollama, rabbitmq, redis, satoken, shardingsphere-jdbc, springai, springboot2, springboot3, java-web, enterprise-template, ai-integration, distributed-systems, project-starter
  • mediumhomepage#3
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://github.com/AntonyCheng/spring-boot-init-template

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 AntonyCheng/spring-boot-init-template
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Spring Initializr
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Spring Initializr · recommended 1×
  2. JHipster · recommended 1×
  3. Spring Boot Admin · recommended 1×
  4. Spring PetClinic · recommended 1×
  5. Start.spring.io · recommended 1×
  • CATEGORY QUERY
    Looking for a comprehensive Spring Boot template to quickly start a new Java web project.
    you: not recommended
    AI recommended (in order):
    1. Spring Initializr
    2. JHipster
    3. Spring Boot Admin
    4. Spring PetClinic
    5. Start.spring.io
    6. Vaadin Start

    AI recommended 6 alternatives but never named AntonyCheng/spring-boot-init-template. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are modern Spring Boot project starters integrating AI, distributed databases, and caching?
    you: not recommended
    AI recommended (in order):
    1. Spring AI (spring-projects/spring-ai)
    2. Apache Cassandra (apache/cassandra)
    3. CockroachDB (cockroachdb/cockroach)
    4. Redis (redis/redis)
    5. LangChain4j (langchain4j/langchain4j)
    6. Apache Kafka (apache/kafka)
    7. Apache Flink (apache/flink)
    8. ScyllaDB (scylladb/scylladb)
    9. Hazelcast (hazelcast/hazelcast)
    10. Hugging Face Transformers (huggingface/transformers)
    11. DJL (Deep Java Library) (deepjavalibrary/djl)
    12. PostgreSQL (postgres/postgres)
    13. Citus Data (citusdata/citus)
    14. TimescaleDB (timescale/timescaledb)
    15. Apache Ignite (apache/ignite)
    16. Google Cloud AI Platform/Vertex AI
    17. Spring Cloud GCP (spring-cloud/spring-cloud-gcp)
    18. Google Cloud Spanner
    19. Google Cloud Memorystore
    20. Azure AI Services
    21. Azure SDK for Java (Azure/azure-sdk-for-java)
    22. Azure Cosmos DB
    23. Azure Cache for Redis

    AI recommended 23 alternatives but never named AntonyCheng/spring-boot-init-template. 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 AntonyCheng/spring-boot-init-template?
    pass
    AI named AntonyCheng/spring-boot-init-template explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts AntonyCheng/spring-boot-init-template in production, what risks or prerequisites should they evaluate first?
    pass
    AI named AntonyCheng/spring-boot-init-template 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 AntonyCheng/spring-boot-init-template solve, and who is the primary audience?
    pass
    AI did not name AntonyCheng/spring-boot-init-template — 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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AntonyCheng/spring-boot-init-template — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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