RRepoGEO

REPOGEO REPORT · LITE

spring-ai-alibaba/Lynxe

Default branch main · commit cbdee65d · scanned 6/27/2026, 10:56:51 AM

GitHub: 1,053 stars · 239 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
35 /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
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 spring-ai-alibaba/Lynxe, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Add a descriptive tagline to the README's introduction

    Why:

    CURRENT
    # Spring AI Alibaba Lynxe
    COPY-PASTE FIX
    # Spring AI Alibaba Lynxe
A high-determinism, code-free 'Prompt Programming' studio for building reliable Java AI agent workflows.
  • mediumhomepage#2
    Set the project homepage URL

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    [YOUR_HOMEPAGE_URL_HERE]

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-ai-alibaba/Lynxe
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. Camunda Platform · recommended 1×
  4. Flowable · recommended 1×
  5. OpenAI Function Calling · recommended 1×
  • CATEGORY QUERY
    How to build deterministic AI agent workflows using a Java-based prompt programming studio?
    you: not recommended
    AI recommended (in order):
    1. LangChain4j
    2. Spring AI
    3. Camunda Platform
    4. Flowable
    5. OpenAI Function Calling
    6. Microsoft Semantic Kernel

    AI recommended 6 alternatives but never named spring-ai-alibaba/Lynxe. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a Java solution for reliable data extraction and log analysis with AI agents.
    you: not recommended
    AI recommended (in order):
    1. Apache Flink
    2. Apache Spark
    3. Spark Streaming
    4. Structured Streaming
    5. MLlib
    6. Elastic Stack
    7. Elasticsearch
    8. Logstash
    9. Kibana
    10. Elasticsearch Java API Client
    11. Apache Kafka
    12. Spring Boot
    13. Quarkus
    14. Deeplearning4j (DL4J)
    15. TensorFlow for Java
    16. ONNX Runtime

    AI recommended 16 alternatives but never named spring-ai-alibaba/Lynxe. 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 spring-ai-alibaba/Lynxe?
    pass
    AI named spring-ai-alibaba/Lynxe explicitly

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

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

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

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spring-ai-alibaba/Lynxe — 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