RRepoGEO

REPOGEO REPORT · LITE

spring-projects/spring-ai

Default branch main · commit 623a43e7 · scanned 5/27/2026, 9:56:49 AM

GitHub: 8,803 stars · 2,601 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 spring-projects/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 the README's first sentence for stronger keyword match

    Why:

    CURRENT
    The Spring AI project provides a Spring-friendly API and abstractions for developing AI applications.
    COPY-PASTE FIX
    The Spring AI project provides a Spring-friendly API and abstractions for developing Generative AI applications in Java and Spring Boot.
  • mediumtopics#2
    Expand GitHub topics for better categorization and search

    Why:

    CURRENT
    artificial-intelligence, hacktoberfest, java, spring-ai
    COPY-PASTE FIX
    artificial-intelligence, hacktoberfest, java, spring-ai, generative-ai, llm, spring-boot, ai-framework
  • lowabout#3
    Clarify the 'About' description for direct naming and specificity

    Why:

    CURRENT
    An Application Framework for AI Engineering
    COPY-PASTE FIX
    A Java Application Framework for building Generative AI applications with Spring Boot, connecting enterprise data and APIs with AI models.

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 spring-projects/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. OpenAI API · recommended 1×
  3. Google Cloud Vertex AI · recommended 1×
  4. Hugging Face Transformers · recommended 1×
  5. DJL (Deep Java Library) · recommended 1×
  • CATEGORY QUERY
    How to integrate generative AI capabilities into existing Java Spring Boot applications?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. Spring AI
    3. Google Cloud Vertex AI
    4. Hugging Face Transformers
    5. DJL (Deep Java Library)
    6. LangChain4j
    7. AWS Bedrock
    8. Llama.cpp
    9. llama.cpp-java

    AI recommended 9 alternatives but never named spring-projects/spring-ai. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a Java framework for building AI applications that connect to enterprise data.
    you: not recommended
    AI recommended (in order):
    1. Spring AI
    2. Deeplearning4j (DL4J)
    3. Apache Flink
    4. Apache Spark
    5. Weka
    6. Taverna Workbench
    7. Apache UIMA

    AI recommended 7 alternatives but never named spring-projects/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
    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 spring-projects/spring-ai?
    pass
    AI did not name spring-projects/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 spring-projects/spring-ai in production, what risks or prerequisites should they evaluate first?
    pass
    AI named spring-projects/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 spring-projects/spring-ai solve, and who is the primary audience?
    pass
    AI did not name spring-projects/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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