RRepoGEO

REPOGEO REPORT · LITE

liyupi/yu-auto-reply

Default branch master · commit 91334274 · scanned 5/30/2026, 4:08:14 PM

GitHub: 889 stars · 361 forks

AI VISIBILITY SCORE
28 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 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 liyupi/yu-auto-reply, 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's opening to clarify it's an open-source, self-hostable tool

    Why:

    CURRENT
    基于 Java Spring Boot 的平台监控及自动回复工具,支持灵活地配置多个监控任务,支持一键部署!
    COPY-PASTE FIX
    一个开源的、可自部署的 AI 自动回复工具,基于 Java Spring Boot 构建,支持灵活配置多个平台的监控和回答,旨在帮助用户在知识星球等在线社区实现智能问答自动化。
  • highlicense#2
    Add a standard open-source LICENSE file

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root with a standard open-source license like MIT or Apache-2.0, including copyright information.
  • mediumtopics#3
    Expand repository topics to improve category visibility

    Why:

    CURRENT
    ai, chatgpt, java, openai, springboot
    COPY-PASTE FIX
    ai, chatgpt, java, openai, springboot, auto-reply-bot, community-management, social-media-automation, chatbot-tool, self-hosted

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 liyupi/yu-auto-reply
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Zendesk Answer Bot
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Zendesk Answer Bot · recommended 1×
  2. Intercom Answer Bot · recommended 1×
  3. Ada · recommended 1×
  4. Drift · recommended 1×
  5. ManyChat · recommended 1×
  • CATEGORY QUERY
    Need a tool to automatically answer inquiries on online communities using an AI chatbot.
    you: not recommended
    AI recommended (in order):
    1. Zendesk Answer Bot
    2. Intercom Answer Bot
    3. Ada
    4. Drift
    5. ManyChat
    6. Chatfuel

    AI recommended 6 alternatives but never named liyupi/yu-auto-reply. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are some open-source Java frameworks for building AI-powered automated reply systems?
    you: not recommended
    AI recommended (in order):
    1. Spring AI
    2. Deeplearning4j (DL4J)
    3. Apache OpenNLP
    4. Stanford CoreNLP
    5. Rasa

    AI recommended 5 alternatives but never named liyupi/yu-auto-reply. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • 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 liyupi/yu-auto-reply?
    pass
    AI did not name liyupi/yu-auto-reply — 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 liyupi/yu-auto-reply in production, what risks or prerequisites should they evaluate first?
    pass
    AI named liyupi/yu-auto-reply 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 liyupi/yu-auto-reply solve, and who is the primary audience?
    pass
    AI named liyupi/yu-auto-reply explicitly

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

Embed your GEO score

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MARKDOWN (README)
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liyupi/yu-auto-reply — 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