RRepoGEO

REPOGEO REPORT · LITE

Syan-Lin/CyberWaifu

Default branch main · commit 3f51a1ac · scanned 6/22/2026, 5:53:02 PM

GitHub: 1,088 stars · 116 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)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 Syan-Lin/CyberWaifu, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition the README's opening sentence to highlight key features and application

    Why:

    CURRENT
    CyberWaifu 是一个使用 LLM 和 TTS 实现的聊天机器人,探索真实的聊天体验。
    COPY-PASTE FIX
    CyberWaifu 是一个基于 LLM 和 TTS 的真实感 QQ 聊天机器人框架,支持长时记忆、联网搜索、表情包和 QQ 表情,旨在提供沉浸式聊天体验。
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/Syan-Lin/CyberWaifu

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 Syan-Lin/CyberWaifu
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI GPT-4 / GPT-3.5 Turbo
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI GPT-4 / GPT-3.5 Turbo · recommended 1×
  2. Anthropic Claude 3 · recommended 1×
  3. Google Gemini · recommended 1×
  4. Pinecone · recommended 1×
  5. weaviate/weaviate · recommended 1×
  • CATEGORY QUERY
    How to build a realistic AI chatbot with long-term memory and online search for QQ?
    you: not recommended
    AI recommended (in order):
    1. OpenAI GPT-4 / GPT-3.5 Turbo
    2. Anthropic Claude 3
    3. Google Gemini
    4. Pinecone
    5. Weaviate (weaviate/weaviate)
    6. Qdrant (qdrant/qdrant)
    7. Chroma (chroma-core/chroma)
    8. LangChain (langchain-ai/langchain)
    9. LlamaIndex (run-llama/llama_index)
    10. SerpAPI
    11. Google Custom Search API
    12. Brave Search API
    13. go-cqhttp (Mrs4s/go-cqhttp)
    14. Mirai (mamoe/mirai)

    AI recommended 14 alternatives but never named Syan-Lin/CyberWaifu. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good open-source Python frameworks for creating expressive, context-aware LLM agents?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. AutoGen
    5. CrewAI
    6. Transformers Agents

    AI recommended 6 alternatives but never named Syan-Lin/CyberWaifu. 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 Syan-Lin/CyberWaifu?
    pass
    AI did not name Syan-Lin/CyberWaifu — 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 Syan-Lin/CyberWaifu in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Syan-Lin/CyberWaifu 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 Syan-Lin/CyberWaifu solve, and who is the primary audience?
    pass
    AI named Syan-Lin/CyberWaifu 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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Syan-Lin/CyberWaifu — 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