RRepoGEO

REPOGEO REPORT · LITE

Apicurio/apicurio-registry

Default branch main · commit 0831865b · scanned 6/16/2026, 4:06:35 PM

GitHub: 815 stars · 320 forks

AI VISIBILITY SCORE
15 /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
0 / 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 Apicurio/apicurio-registry, 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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    ["api-registry", "schema-registry", "openapi", "avro", "protobuf", "event-driven-architecture", "kafka", "quarkus"]
  • highreadme#2
    Strengthen the README's opening statement

    Why:

    CURRENT
    An API/Schema registry - stores and retrieves APIs and Schemas.
    COPY-PASTE FIX
    Apicurio Registry is a high-performance, cloud-native registry for managing and validating your API and data schemas (OpenAPI, Avro, Protobuf, JSON Schema) across distributed systems and event-driven architectures. It ensures compatibility and consistency for your APIs and data models.
  • mediumreadme#3
    Add a "Key Features" or "Why Apicurio Registry?" section

    Why:

    COPY-PASTE FIX
    ## Key Features

*   **Pluggable Storage Backends:** Choose from JDBC, Kafka Streams, or Infinispan to fit your infrastructure.
*   **Cloud-Native & Lightweight:** Built on Quarkus for fast startup times and low resource consumption.
*   **Comprehensive Schema Support:** Manage OpenAPI, Avro, Protobuf, and JSON Schema definitions.
*   **API & Schema Versioning:** Ensure backward and forward compatibility in evolving systems.
*   **Developer-Friendly APIs:** Easy integration with your existing development workflows.

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 Apicurio/apicurio-registry
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GitHub
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. GitHub · recommended 2×
  2. GitLab · recommended 2×
  3. Postman · recommended 2×
  4. SwaggerHub · recommended 2×
  5. Bitbucket · recommended 1×
  • CATEGORY QUERY
    Where can I store and manage my OpenAPI specifications and data schemas?
    you: not recommended
    AI recommended (in order):
    1. GitHub
    2. GitLab
    3. Bitbucket
    4. Stoplight Studio
    5. Stoplight Platform
    6. Postman
    7. SwaggerHub
    8. Redocly
    9. AWS API Gateway
    10. Azure API Management
    11. Apigee

    AI recommended 11 alternatives but never named Apicurio/apicurio-registry. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help with centralizing and versioning API and data model definitions?
    you: not recommended
    AI recommended (in order):
    1. Stoplight Studio/Platform
    2. Postman
    3. SwaggerHub
    4. GitHub
    5. GitLab
    6. Spectral (stoplightio/spectral)
    7. Redoc (Redocly/redoc)
    8. Swagger UI (swagger-api/swagger-ui)
    9. Confluent Schema Registry (confluentinc/schema-registry)
    10. Apache Kafka (apache/kafka)
    11. AsyncAPI Generator (asyncapi/generator)
    12. AsyncAPI Studio (asyncapi/studio)
    13. RabbitMQ (rabbitmq/rabbitmq-server)

    AI recommended 13 alternatives but never named Apicurio/apicurio-registry. 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 Apicurio/apicurio-registry?
    pass
    AI did not name Apicurio/apicurio-registry — likely talking about a different project

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

  • If a team adopts Apicurio/apicurio-registry in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name Apicurio/apicurio-registry — likely talking about a different project

    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 Apicurio/apicurio-registry solve, and who is the primary audience?
    pass
    AI did not name Apicurio/apicurio-registry — likely talking about a different project

    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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MARKDOWN (README)
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Apicurio/apicurio-registry — RepoGEO report