RRepoGEO

REPOGEO REPORT · LITE

event-catalog/eventcatalog

Default branch main · commit 659d4e1b · scanned 6/27/2026, 7:26:48 AM

GitHub: 2,747 stars · 266 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
33 /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
2 / 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 the README H2 to emphasize "developer portal" and "governance" for event-driven architecture.

    Why:

    CURRENT
    ## The discovery and governance layer for event-driven systems
    COPY-PASTE FIX
    ## EventCatalog: Your interactive developer portal for event-driven architecture governance
  • mediumlicense#2
    Add explicit license information to the README.

    Why:

    COPY-PASTE FIX
    Add a "License" section or a line in the "About" section of the README: "This project is licensed under [Name of License(s) as found in LICENSE file]. See the [LICENSE](LICENSE) file for details."
  • mediumtopics#3
    Add more specific topics to improve AI categorization.

    Why:

    CURRENT
    ai, architecture, asyncapi, ddd, distributed-systems, documentation, domain-driven-design, event-catalog, event-driven-architecture, microservices
    COPY-PASTE FIX
    ai, architecture, asyncapi, ddd, distributed-systems, documentation, domain-driven-design, event-catalog, event-driven-architecture, microservices, event-governance, event-stream-catalog, developer-portal, eda-governance, schema-registry-alternative

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
C4 Model
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. C4 Model · recommended 1×
  2. structurizr/structurizr-dsl · recommended 1×
  3. plantuml/plantuml · recommended 1×
  4. mermaid-js/mermaid · recommended 1×
  5. provectus/kafka-ui · recommended 1×
  • CATEGORY QUERY
    How to effectively document and visualize complex event-driven microservices architecture?
    you: not recommended
    AI recommended (in order):
    1. C4 Model
    2. Structurizr (structurizr/structurizr-dsl)
    3. PlantUML (plantuml/plantuml)
    4. Mermaid (mermaid-js/mermaid)
    5. Kafka UI (provectus/kafka-ui)
    6. Confluent Control Center
    7. AsyncAPI (asyncapi/spec)
    8. OpenAPI (OAI/OpenAPI-Specification)
    9. Jaeger (jaegertracing/jaeger)
    10. Grafana (grafana/grafana)
    11. Prometheus (prometheus/prometheus)
    12. Loki (grafana/loki)
    13. Tempo (grafana/tempo)

    AI recommended 13 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 governance of distributed event streams and schemas?
    you: not recommended
    AI recommended (in order):
    1. Confluent Schema Registry
    2. Amundsen (lyft/amundsen)
    3. DataHub (datahub-project/datahub)
    4. Collibra Data Governance Center
    5. Alation Data Catalog
    6. Apache Atlas (apache/atlas)

    AI recommended 6 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 did not name event-catalog/eventcatalog — 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 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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event-catalog/eventcatalog — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite