RRepoGEO

REPOGEO REPORT · LITE

smartloli/EFAK

Default branch main · commit 882c5608 · scanned 5/15/2026, 7:58:12 PM

GitHub: 3,178 stars · 787 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 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
  • highabout#1
    Clarify GitHub description to highlight open-source and self-hosted nature

    Why:

    CURRENT
    A AI-Driven, Distributed and high-performance monitoring system, for comprehensive monitoring and management of kafka cluster.
    COPY-PASTE FIX
    An open-source, AI-driven, distributed, and high-performance system for comprehensive monitoring and management of Kafka clusters, offering a self-hosted alternative to commercial solutions.
  • mediumreadme#2
    Add a concise English introduction to the README

    Why:

    COPY-PASTE FIX
    Add this text right after the H1 in the README:

EFAK-AI is an open-source, AI-driven platform for intelligent Kafka cluster monitoring and management. It provides a comprehensive, self-hosted solution with real-time insights, performance optimization, and automated troubleshooting, serving as a powerful alternative to commercial observability tools.
  • mediumtopics#3
    Expand topics to include more specific 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, troubleshooting, open-source, self-hosted, distributed-systems

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
    How to monitor Kafka cluster health and performance with AI-driven insights?
    you: not recommended
    AI recommended (in order):
    1. Datadog
    2. Dynatrace
    3. New Relic
    4. Splunk Observability Cloud
    5. Confluent Control Center
    6. Prometheus
    7. Grafana

    AI recommended 7 alternatives but never named smartloli/EFAK. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools provide intelligent Kafka cluster management, including real-time metrics and AI-powered troubleshooting?
    you: not recommended
    AI recommended (in order):
    1. Confluent Control Center
    2. Datadog
    3. Dynatrace
    4. New Relic
    5. Splunk Observability Cloud
    6. Lenses.io

    AI recommended 6 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?

Embed your GEO score

Drop this badge into the README of smartloli/EFAK. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/smartloli/EFAK.svg)](https://repogeo.com/en/r/smartloli/EFAK)
HTML
<a href="https://repogeo.com/en/r/smartloli/EFAK"><img src="https://repogeo.com/badge/smartloli/EFAK.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

smartloli/EFAK — 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