RRepoGEO

REPOGEO REPORT · LITE

smartloli/EFAK

Default branch main · commit 882c5608 · scanned 6/26/2026, 2:58:09 PM

GitHub: 3,179 stars · 791 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
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 smartloli/EFAK, 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 introduction to emphasize open-source and AI-driven Kafka monitoring.

    Why:

    CURRENT
    EFAK-AI (Eagle For Apache Kafka - AI) 是一款开源的 Kafka 智能监控与管理平台，融合了人工智能技术，为 Kafka 运维提供智能化、可视化、自动化的全方位解决方案。
    COPY-PASTE FIX
    EFAK-AI (Eagle For Apache Kafka - AI) is an **open-source, AI-driven platform** designed for intelligent monitoring and management of Apache Kafka clusters. It provides a comprehensive, visual, and automated solution for Kafka operations, integrating advanced AI capabilities to offer a powerful alternative to commercial observability tools.
  • mediumtopics#2
    Expand repository topics to include key monitoring and management terms.

    Why:

    CURRENT
    ai, consumer-group, kafka, kafka-eagle, offsets
    COPY-PASTE FIX
    ai, consumer-group, kafka, kafka-eagle, offsets, monitoring, management, observability, distributed-systems, real-time, performance, alerting, spring-boot
  • lowabout#3
    Refine repository description to highlight open-source and AI-driven aspects.

    Why:

    CURRENT
    A AI-Driven, Distributed and high-performance monitoring system, for comprehensive monitoring and management of kafka cluster.
    COPY-PASTE FIX
    EFAK-AI is an open-source, AI-driven, distributed, and high-performance monitoring and management system for Apache Kafka clusters, offering comprehensive observability and intelligent operations.

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 smartloli/EFAK
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Datadog
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Datadog · recommended 2×
  2. Dynatrace · recommended 2×
  3. New Relic · recommended 2×
  4. Splunk Observability Cloud · recommended 2×
  5. Confluent Control Center · recommended 2×
  • CATEGORY QUERY
    What are the best AI-driven platforms for real-time Kafka cluster health and performance management?
    you: not recommended
    AI recommended (in order):
    1. Datadog
    2. Dynatrace
    3. Instana
    4. New Relic
    5. Splunk Observability Cloud
    6. Confluent Control Center

    AI recommended 6 alternatives but never named smartloli/EFAK. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a robust monitoring solution for Apache Kafka, including performance metrics, consumer groups, and alerts.
    you: not recommended
    AI recommended (in order):
    1. Datadog
    2. Prometheus
    3. Grafana
    4. Confluent Control Center
    5. New Relic
    6. Dynatrace
    7. Splunk Observability Cloud

    AI recommended 7 alternatives but never named smartloli/EFAK. 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 smartloli/EFAK?
    pass
    AI named smartloli/EFAK explicitly

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

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

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

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smartloli/EFAK — 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