RRepoGEO

REPOGEO REPORT · LITE

Syan-Lin/CyberWaifu

Default branch main · commit 3f51a1ac · scanned 5/12/2026, 11:42:40 AM

GitHub: 1,085 stars · 117 forks

AI VISIBILITY SCORE
35 /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
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 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

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

OVERALL DIRECTION
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    llm, tts, chatbot, ai-companion, qq-bot, python, langchain, virtual-waifu
  • highreadme#2
    Reposition the README's introductory sentence to clarify its application type

    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 AI 伴侣聊天机器人框架，旨在提供沉浸式、个性化的聊天体验，并支持 QQ 机器人部署。
  • mediumhomepage#3
    Add a homepage URL to the repository

    Why:

    COPY-PASTE FIX
    Add a URL to a live demo, project page, or documentation site.

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
langchain-ai/langchain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. langchain-ai/langchain · recommended 2×
  2. deepset-ai/haystack · recommended 2×
  3. OpenAI API · recommended 2×
  4. OpenAI GPT-4 · recommended 1×
  5. Pinecone · recommended 1×
  • CATEGORY QUERY
    How to build an AI chatbot with long-term memory and internet search capabilities?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. OpenAI GPT-4
    3. Pinecone
    4. ChromaDB (chroma-core/chroma)
    5. SerpAPI
    6. Google Search API
    7. LlamaIndex (run-llama/llama_index)
    8. Weaviate (weaviate/weaviate)
    9. Qdrant (qdrant/qdrant)
    10. Microsoft Semantic Kernel (microsoft/semantic-kernel)
    11. Azure OpenAI Service
    12. Azure AI Search
    13. Haystack (deepset-ai/haystack)
    14. Hugging Face Models
    15. Elasticsearch (elastic/elasticsearch)
    16. Milvus (milvus-io/milvus)
    17. OpenAI API
    18. Faiss (facebookresearch/faiss)
    19. Annoy (spotify/annoy)
    20. Google Custom Search API

    AI recommended 20 alternatives but never named Syan-Lin/CyberWaifu. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a Python framework for creating a conversational AI for social platforms with TTS.
    you: not recommended
    AI recommended (in order):
    1. Rasa Open Source (RasaHQ/rasa)
    2. Google Text-to-Speech
    3. Amazon Polly
    4. ElevenLabs
    5. Facebook Messenger
    6. Telegram
    7. Slack
    8. DeepPavlov (deepmipt/DeepPavlov)
    9. Haystack (deepset-ai/haystack)
    10. Flask (pallets/flask)
    11. FastAPI (tiangolo/fastapi)
    12. OpenAI API
    13. GPT-3
    14. GPT-4
    15. gTTS (pndurette/gTTS)
    16. pyttsx3 (nateshmbhat/pyttsx3)
    17. LangChain (langchain-ai/langchain)

    AI recommended 17 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 named Syan-Lin/CyberWaifu explicitly

    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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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