RRepoGEO

REPOGEO REPORT · LITE

erupts/erupt

Default branch master · commit e725556d · scanned 5/29/2026, 1:51:38 PM

GitHub: 2,730 stars · 511 forks

AI VISIBILITY SCORE
40 /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
3 / 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 erupts/erupt, 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
    Explicitly state Java framework identity at README start

    Why:

    COPY-PASTE FIX
    **Erupt is a powerful Java framework for building annotation-driven low-code data platforms and AI harnesses.**
    
    English   |   [中文](README-zh.md)
  • mediumtopics#2
    Add specific AI-related topics

    Why:

    CURRENT
    admin, ai, annotation, erupt, flow, jpa, low-code, mdd, rbac, semantic
    COPY-PASTE FIX
    admin, ai, annotation, erupt, flow, jpa, low-code, mdd, rbac, semantic, llm, generative-ai, ai-integration, enterprise-ai, java-ai, low-code-ai
  • mediumreadme#3
    Integrate 'low-code' explicitly into 'Why Erupt?' section

    Why:

    CURRENT
    ## 💡 Why Erupt?
    
    One class file = a full admin page.** Zero controllers, zero front-end build, zero scaffolding.
    COPY-PASTE FIX
    ## 💡 Why Erupt?
    
    Erupt is a true low-code platform: one class file = a full admin page.** Zero controllers, zero front-end build, zero scaffolding.

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 erupts/erupt
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
JHipster
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. JHipster · recommended 1×
  2. Vaadin · recommended 1×
  3. Jmix · recommended 1×
  4. Apache Isis · recommended 1×
  5. Spring Roo · recommended 1×
  • CATEGORY QUERY
    Need a Java low-code framework for rapid development of data administration interfaces.
    you: not recommended
    AI recommended (in order):
    1. JHipster
    2. Vaadin
    3. Jmix
    4. Apache Isis
    5. Spring Roo

    AI recommended 5 alternatives but never named erupts/erupt. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking an annotation-driven platform to easily embed AI features into enterprise applications.
    you: not recommended
    AI recommended (in order):
    1. Google Cloud AI Platform
    2. Amazon SageMaker Ground Truth
    3. Amazon Rekognition
    4. Amazon Comprehend
    5. Microsoft Azure AI Platform
    6. Azure Cognitive Services
    7. Azure Machine Learning
    8. Hugging Face Transformers
    9. Prodigy
    10. Label Studio
    11. DataRobot
    12. Snorkel AI
    13. Scale AI

    AI recommended 13 alternatives but never named erupts/erupt. 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 erupts/erupt?
    pass
    AI named erupts/erupt explicitly

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

  • If a team adopts erupts/erupt in production, what risks or prerequisites should they evaluate first?
    pass
    AI named erupts/erupt 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 erupts/erupt solve, and who is the primary audience?
    pass
    AI named erupts/erupt explicitly

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

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erupts/erupt — 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