RRepoGEO

REPOGEO REPORT · LITE

techa03/goodsKill

Default branch main · commit 044c0e3e · scanned 5/28/2026, 12:07:29 AM

GitHub: 2,378 stars · 517 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 techa03/goodsKill, 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 H1 to specify category and project type

    Why:

    CURRENT
    # 前言
    COPY-PASTE FIX
    # goodsKill: 基于SpringCloud + Dubbo + AI 的高并发秒杀微服务项目示例
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://gitee.com/techa/goodsKill
  • lowtopics#3
    Add more specific domain-related topics

    Why:

    CURRENT
    ai, java, oauth2, sharding-jdbc, spring-boot, springcloud, springcloudalibaba
    COPY-PASTE FIX
    ai, java, oauth2, sharding-jdbc, spring-boot, springcloud, springcloudalibaba, seckill, high-concurrency

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 techa03/goodsKill
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
spring-projects/spring-boot
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. spring-projects/spring-boot · recommended 1×
  2. spring-cloud/spring-cloud · recommended 1×
  3. Netflix/eureka · recommended 1×
  4. hashicorp/consul · recommended 1×
  5. resilience4j/resilience4j · recommended 1×
  • CATEGORY QUERY
    How to implement a high-concurrency flash sale system using modern Java microservices?
    you: not recommended
    AI recommended (in order):
    1. Spring Boot (spring-projects/spring-boot)
    2. Spring Cloud (spring-cloud/spring-cloud)
    3. Eureka (Netflix/eureka)
    4. Consul (hashicorp/consul)
    5. Resilience4j (resilience4j/resilience4j)
    6. Spring Cloud Gateway (spring-cloud/spring-cloud-gateway)
    7. Spring Cloud Config (spring-cloud/spring-cloud-config)
    8. Apache Kafka (apache/kafka)
    9. Quarkus (quarkusio/quarkus)
    10. Redis (redis/redis)
    11. Micronaut (micronaut-projects/micronaut-core)
    12. PostgreSQL
    13. HikariCP (brettwooldridge/HikariCP)
    14. Akka (akka/akka)
    15. Apache Cassandra (apache/cassandra)
    16. Vert.x (vert-x3/vertx-core)
    17. Netflix Zuul 2 (Netflix/zuul)
    18. Kong Gateway (Kong/kong)
    19. HAProxy (haproxy/haproxy)
    20. NGINX
    21. Prometheus (prometheus/prometheus)
    22. Grafana (grafana/grafana)
    23. Jaeger (jaegertracing/jaeger)
    24. Zipkin (openzipkin/zipkin)
    25. Docker (moby/moby)
    26. Kubernetes (kubernetes/kubernetes)
    27. Hystrix (Netflix/Hystrix)

    AI recommended 27 alternatives but never named techa03/goodsKill. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a Java microservices example demonstrating distributed transactions, sharding, and AI integration.
    you: not recommended
    AI recommended (in order):
    1. Spring Boot
    2. Atomikos
    3. JBoss Narayana
    4. Hibernate Shards
    5. Spring AI
    6. TensorFlow Serving
    7. PyTorch Serve
    8. Quarkus
    9. Narayana
    10. Hibernate Reactive
    11. ONNX Runtime
    12. Micronaut
    13. Bitronix Transaction Manager
    14. Deeplearning4j
    15. Apache Kafka
    16. OpenAI API
    17. Google Cloud AI Platform
    18. Azure AI Services
    19. Akka
    20. Akka Persistence
    21. Akka Cluster Sharding
    22. Akka Distributed Data
    23. H2O.ai Sparkling Water

    AI recommended 23 alternatives but never named techa03/goodsKill. 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 techa03/goodsKill?
    pass
    AI named techa03/goodsKill explicitly

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

  • If a team adopts techa03/goodsKill in production, what risks or prerequisites should they evaluate first?
    pass
    AI named techa03/goodsKill 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 techa03/goodsKill solve, and who is the primary audience?
    pass
    AI named techa03/goodsKill 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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techa03/goodsKill — 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