RRepoGEO

REPOGEO REPORT · LITE

event-catalog/eventcatalog

Default branch main · commit 8ac3dbea · scanned 5/16/2026, 10:57:22 AM

GitHub: 2,700 stars · 257 forks

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 event-catalog/eventcatalog, 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 README opening to clarify EventCatalog as a dedicated platform

    Why:

    CURRENT
    Discover your domains, services, events, and schemas — with AI-powered discovery, interactive visualizations, and 15+ generators for Kafka, EventBridge, RabbitMQ, and more.
    COPY-PASTE FIX
    EventCatalog is the dedicated platform for documenting, visualizing, and discovering your event-driven architecture. It provides a centralized, AI-powered catalog for domains, services, events, and schemas, with interactive visualizations and 15+ generators for Kafka, EventBridge, RabbitMQ, and more.
  • mediumreadme#2
    Clarify the project's license in the README

    Why:

    COPY-PASTE FIX
    ## License

EventCatalog is licensed under [insert specific license name(s) and terms here, e.g., 'a custom license combining Apache-2.0 and MIT terms']. Please refer to the [LICENSE file](LICENSE) for full details.
  • lowtopics#3
    Add "catalog" and "platform" to repository topics

    Why:

    CURRENT
    ai, architecture, asyncapi, ddd, distributed-systems, documentation, domain-driven-design, event-catalog, event-driven-architecture, microservices
    COPY-PASTE FIX
    ai, architecture, asyncapi, catalog, ddd, distributed-systems, documentation, domain-driven-design, event-catalog, event-driven-architecture, microservices, platform

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 event-catalog/eventcatalog
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
asyncapi/spec
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. asyncapi/spec · recommended 1×
  2. mermaid-js/mermaid · recommended 1×
  3. plantuml/plantuml · recommended 1×
  4. plantuml-stdlib/C4-PlantUML · recommended 1×
  5. Structurizr · recommended 1×
  • CATEGORY QUERY
    How can I visualize and document my event-driven microservices architecture efficiently?
    you: not recommended
    AI recommended (in order):
    1. AsyncAPI (asyncapi/spec)
    2. Mermaid.js (mermaid-js/mermaid)
    3. PlantUML (plantuml/plantuml)
    4. C4-PlantUML (plantuml-stdlib/C4-PlantUML)
    5. Structurizr
    6. Kafka UI (provectus/kafka-ui)
    7. Conduktor
    8. Draw.io (jgraph/drawio)
    9. Lucidchart

    AI recommended 9 alternatives but never named event-catalog/eventcatalog. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool for AI-powered discovery and cataloging of events in a distributed system?
    you: not recommended
    AI recommended (in order):
    1. Datadog
    2. Splunk Enterprise
    3. Elastic Stack
    4. Dynatrace
    5. New Relic
    6. Grafana Labs
    7. Sumo Logic

    AI recommended 7 alternatives but never named event-catalog/eventcatalog. 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 event-catalog/eventcatalog?
    pass
    AI named event-catalog/eventcatalog explicitly

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

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

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

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MARKDOWN (README)
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