RRepoGEO

REPOGEO REPORT · LITE

cskefu/cskefu

Default branch develop · commit 0bf63238 · scanned 5/28/2026, 1:03:33 AM

GitHub: 2,883 stars · 922 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 cskefu/cskefu, 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
    Highlight the open-source version and its features early in the README

    Why:

    COPY-PASTE FIX
    Move the entire section titled '春松客服 V8 - OSS 开源版' (Chun Song Customer Service V8 - OSS Open Source Version) to appear immediately after the initial project description: '春松客服是一个企业客服系统解决方案...'
  • mediumtopics#2
    Add specific AI/LLM related topics

    Why:

    CURRENT
    chatbot, contact-center, customer-support, java, multi-channel, omni-channel, osgi, springboot
    COPY-PASTE FIX
    chatbot, contact-center, customer-support, java, multi-channel, omni-channel, osgi, springboot, llm, rag, ai-chatbot
  • lowlicense#3
    Clarify license information in the README

    Why:

    COPY-PASTE FIX
    Add a section or line in the README, perhaps under a 'License' heading, stating: '本项目的许可证信息请参考 [LICENSE 文件](link-to-your-license-file) 中详细说明的条款。'

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 cskefu/cskefu
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
chatwoot/chatwoot
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. chatwoot/chatwoot · recommended 1×
  2. freescout-helpdesk/freescout · recommended 1×
  3. zammad/zammad · recommended 1×
  4. odoo/odoo · recommended 1×
  5. RocketChat/Rocket.Chat · recommended 1×
  • CATEGORY QUERY
    open source multi-channel customer service system with chatbot integration for enterprises
    you: not recommended
    AI recommended (in order):
    1. Chatwoot (chatwoot/chatwoot)
    2. Freescout (freescout-helpdesk/freescout)
    3. Zammad (zammad/zammad)
    4. Odoo (odoo/odoo)
    5. Rocket.Chat (RocketChat/Rocket.Chat)

    AI recommended 5 alternatives but never named cskefu/cskefu. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Java Spring Boot open source contact center solution with AI chatbot capabilities
    you: not recommended
    AI recommended (in order):
    1. Twilio Flex
    2. Spring Boot (spring-projects/spring-boot)
    3. Google Dialogflow
    4. AWS Lex
    5. Jitsi Meet (jitsi/jitsi-meet)
    6. Rasa (RasaHQ/rasa)
    7. OpenVoiceOS (OpenVoiceOS/OpenVoiceOS)
    8. Asterisk (asterisk/asterisk)
    9. FreePBX (FreePBX/framework)
    10. Mifos X (openMF/mifos-platform)
    11. Openfire (igniterealtime/Openfire)

    AI recommended 11 alternatives but never named cskefu/cskefu. 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 cskefu/cskefu?
    pass
    AI named cskefu/cskefu explicitly

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

  • If a team adopts cskefu/cskefu in production, what risks or prerequisites should they evaluate first?
    pass
    AI named cskefu/cskefu 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 cskefu/cskefu solve, and who is the primary audience?
    pass
    AI named cskefu/cskefu 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 cskefu/cskefu. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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HTML
<a href="https://repogeo.com/en/r/cskefu/cskefu"><img src="https://repogeo.com/badge/cskefu/cskefu.svg" alt="RepoGEO" /></a>
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cskefu/cskefu — 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