RRepoGEO

REPOGEO REPORT · LITE

ThomasVitale/llm-apps-java-spring-ai

Default branch main · commit 67fc931c · scanned 6/13/2026, 4:13:08 AM

GitHub: 752 stars · 177 forks

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 ThomasVitale/llm-apps-java-spring-ai, 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 README H1 and opening sentence to emphasize 'samples'

    Why:

    CURRENT
    # LLM and AI-Infused Applications with Java & Spring AI
    
    Samples showing how to build Java applications powered by Generative AI and Large Language Models (LLMs) using Spring AI.
    COPY-PASTE FIX
    # Hands-on Samples for LLM and AI-Infused Applications with Java & Spring AI
    
    A comprehensive collection of hands-on samples showing how to build Java applications powered by Generative AI and Large Language Models (LLMs) using Spring AI.
  • mediumabout#2
    Add a homepage URL to the About section

    Why:

    COPY-PASTE FIX
    https://github.com/ThomasVitale/llm-apps-java-spring-ai
  • lowtopics#3
    Add 'java-examples' and 'spring-ai-examples' to topics

    Why:

    CURRENT
    embeddings, generative-ai, large-language-models, llm, ollama, openai, rag, spring-ai
    COPY-PASTE FIX
    embeddings, generative-ai, large-language-models, llm, ollama, openai, rag, spring-ai, java-examples, spring-ai-examples

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 ThomasVitale/llm-apps-java-spring-ai
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Spring AI
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Spring AI · recommended 2×
  2. LangChain4j · recommended 2×
  3. ONNX Runtime · recommended 2×
  4. Hugging Face Transformers · recommended 1×
  5. Deeplearning4j (DL4J) · recommended 1×
  • CATEGORY QUERY
    How to build AI-powered applications using large language models with a JVM framework?
    you: not recommended
    AI recommended (in order):
    1. Spring AI
    2. LangChain4j
    3. Hugging Face Transformers
    4. Deeplearning4j (DL4J)
    5. ONNX Runtime
    6. Jep
    7. OpenAI Java Library
    8. Azure OpenAI SDK for Java
    9. Quarkus
    10. Micronaut

    AI recommended 10 alternatives but never named ThomasVitale/llm-apps-java-spring-ai. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good examples for implementing RAG with vector embeddings in a Java application?
    you: not recommended
    AI recommended (in order):
    1. Spring AI
    2. Weaviate
    3. Pinecone
    4. Qdrant
    5. Milvus
    6. PostgreSQL
    7. Chroma
    8. Azure AI Search
    9. Redis
    10. Neo4j
    11. OpenAI
    12. Hugging Face
    13. ONNX Runtime
    14. LangChain4j
    15. Deeplearning4j
    16. Apache Lucene
    17. Elasticsearch
    18. Faiss
    19. OkHttp
    20. Apache HttpClient

    AI recommended 20 alternatives but never named ThomasVitale/llm-apps-java-spring-ai. 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 ThomasVitale/llm-apps-java-spring-ai?
    pass
    AI did not name ThomasVitale/llm-apps-java-spring-ai — 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 ThomasVitale/llm-apps-java-spring-ai in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ThomasVitale/llm-apps-java-spring-ai 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 ThomasVitale/llm-apps-java-spring-ai solve, and who is the primary audience?
    pass
    AI did not name ThomasVitale/llm-apps-java-spring-ai — 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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  • Brand-free category queries5 vs 2 in Lite
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