RRepoGEO

REPOGEO REPORT · LITE

embabel/embabel-agent

Default branch main · commit 7da9f39b · scanned 6/25/2026, 4:33:04 AM

GitHub: 3,712 stars · 362 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)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 embabel/embabel-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
  • highreadme#1
    Reposition the README's opening paragraph to clarify its core purpose

    Why:

    CURRENT
    Embabel (Em-BAY-bel) is a framework for authoring agentic flows on the JVM that seamlessly mix LLM-prompted interactions with code and domain models. Supports intelligent path finding towards goals. Written in Kotlin but offers a natural usage model from Java. From the creator of Spring.
    COPY-PASTE FIX
    Embabel (Em-BAY-bel) is a powerful, opinionated framework for building and orchestrating intelligent LLM-powered agents on the JVM. From the creator of Spring, Embabel enables developers to seamlessly blend generative AI interactions with traditional code and domain models, offering intelligent pathfinding for complex multi-agent systems in Java and Kotlin.
  • mediumreadme#2
    Add a dedicated section for key differentiators

    Why:

    COPY-PASTE FIX
    ### Why Embabel Agent?
Embabel stands out as an opinionated, context-first framework for building robust LLM applications on the JVM. It emphasizes type-safe context management and structured data handling through pluggable components, enabling intelligent pathfinding and seamless integration of generative AI with your existing Java/Kotlin code and domain models.
  • lowhomepage#3
    Update homepage URL to a stable documentation version

    Why:

    CURRENT
    https://docs.embabel.com/embabel-agent/guide/1.0.0-RC1-SNAPSHOT
    COPY-PASTE FIX
    Update the homepage URL to point to a stable release version of the documentation, e.g., `https://docs.embabel.com/embabel-agent/guide/1.0.0` (if 1.0.0 is stable) or a general landing page for the project.

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 embabel/embabel-agent
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain4j
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain4j · recommended 1×
  2. Spring AI · recommended 1×
  3. Dify · recommended 1×
  4. Hugging Face Transformers · recommended 1×
  5. Jep · recommended 1×
  • CATEGORY QUERY
    How can I build intelligent AI agents on the JVM using generative models?
    you: not recommended
    AI recommended (in order):
    1. LangChain4j
    2. Spring AI
    3. Dify
    4. Hugging Face Transformers
    5. Jep
    6. JPy
    7. OpenAI Java Library
    8. Google Cloud Client Libraries
    9. Deeplearning4j (DL4J)

    AI recommended 9 alternatives but never named embabel/embabel-agent. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best frameworks for orchestrating multi-agent systems in Java or Kotlin?
    you: not recommended
    AI recommended (in order):
    1. JADE (Java Agent Development Framework)
    2. Akka
    3. Apache MINA (Multipurpose Infrastructure for Network Applications)
    4. Vert.x
    5. Spring Integration

    AI recommended 5 alternatives but never named embabel/embabel-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
    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 embabel/embabel-agent?
    pass
    AI named embabel/embabel-agent explicitly

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

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

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

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embabel/embabel-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