RRepoGEO

REPOGEO REPORT · LITE

818000/bus

Default branch main · commit 3034d47f · scanned 6/13/2026, 9:41:38 AM

GitHub: 610 stars · 36 forks

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 818000/bus, 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
  • mediumtopics#1
    Refine repository topics to align with Java enterprise frameworks

    Why:

    CURRENT
    ai, cache, crypto, dubbo, gateway, graalvm, hl7, java21, limiter, logger, mapper, mybatis, opencv, pagger, sensitive, socket, spring-boot, starter, tracer
    COPY-PASTE FIX
    java, enterprise-java, microservices, middleware, service-bus, framework, spring-boot, dubbo, graalvm, cache, gateway, limiter, logger, mapper, mybatis, starter, tracer, java21
  • lowhomepage#2
    Add homepage URL to repository metadata

    Why:

    COPY-PASTE FIX
    https://www.miaixz.org

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 818000/bus
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
helidon-io/helidon
Recommended in 3 of 2 queries
COMPETITOR LEADERBOARD
  1. helidon-io/helidon · recommended 3×
  2. Spring Boot · recommended 1×
  3. Spring Cloud · recommended 1×
  4. Spring Cloud Netflix Eureka · recommended 1×
  5. Consul · recommended 1×
  • CATEGORY QUERY
    How to build a lightweight enterprise application framework with distributed middleware in Java?
    you: not recommended
    AI recommended (in order):
    1. Spring Boot
    2. Spring Cloud
    3. Spring Cloud Netflix Eureka
    4. Consul
    5. Spring Cloud Gateway
    6. Zuul
    7. Spring Cloud Sleuth
    8. Zipkin
    9. Spring Cloud Config
    10. Apache Kafka
    11. RabbitMQ
    12. Quarkus
    13. Micronaut
    14. Eclipse Vert.x
    15. Jakarta EE
    16. MicroProfile
    17. Open Liberty
    18. WildFly Swarm
    19. Thorntail
    20. Payara Micro
    21. Apache ActiveMQ
    22. Artemis
    23. Maven
    24. Gradle
    25. Docker
    26. Prometheus
    27. Grafana
    28. ELK Stack
    29. Elasticsearch
    30. Logstash
    31. Kibana
    32. Loki

    AI recommended 32 alternatives but never named 818000/bus. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a foundational Java framework offering standardized service suites and microservices capabilities.
    you: not recommended
    AI recommended (in order):
    1. Spring Boot (spring-projects/spring-boot)
    2. Spring Cloud (spring-cloud/spring-cloud-commons)
    3. Spring Data (spring-projects/spring-data-commons)
    4. Spring Security (spring-projects/spring-security)
    5. Quarkus (quarkusio/quarkus)
    6. Jakarta EE (jakartaee/jakartaee-platform)
    7. Eclipse MicroProfile (eclipse/microprofile)
    8. Apache Maven (apache/maven)
    9. Micronaut (micronaut-projects/micronaut-core)
    10. Helidon (helidon-io/helidon)
    11. Helidon SE (helidon-io/helidon)
    12. Helidon MP (helidon-io/helidon)
    13. WildFly (wildfly/wildfly)
    14. Open Liberty (OpenLiberty/open-liberty)
    15. Payara Micro (payara/Payara)

    AI recommended 15 alternatives but never named 818000/bus. 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 818000/bus?
    pass
    AI named 818000/bus explicitly

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

  • If a team adopts 818000/bus in production, what risks or prerequisites should they evaluate first?
    pass
    AI named 818000/bus 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 818000/bus solve, and who is the primary audience?
    pass
    AI named 818000/bus explicitly

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

Embed your GEO score

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  • Brand-free category queries5 vs 2 in Lite
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