RRepoGEO

REPOGEO REPORT · LITE

KMnO4-zx/huanhuan-chat

Default branch master · commit 2d6c7290 · scanned 6/7/2026, 3:13:01 AM

GitHub: 820 stars · 72 forks

AI VISIBILITY SCORE
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 KMnO4-zx/huanhuan-chat, 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 the README's opening to highlight its unique methodology for character AI

    Why:

    CURRENT
    # Chat-嬛嬛
**Chat-甄嬛**是利用《甄嬛传》剧本中所有关于甄嬛的台词和语句，基于大模型进行**LoRA微调**得到的模仿甄嬛语气的聊天语言模型。
    COPY-PASTE FIX
    # Chat-嬛嬛：基于剧本微调个性化AI角色的通用框架
**Chat-甄嬛**不仅是一个模仿甄嬛语气的聊天语言模型，它更是一个**完整的流程和框架**，演示如何利用《甄嬛传》剧本中特定角色的台词和语句，基于大模型进行**LoRA微调**，从而打造任何你心仪的、契合角色人设的个性化AI。
  • hightopics#2
    Add specific topics to improve AI categorization

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    llm, fine-tuning, lora, character-ai, chatbot, nlp, script-analysis, chinese-llm, chatglm, zhenhuan
  • mediumlicense#3
    Add a LICENSE file to clarify usage terms

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    (Choose and add a standard open-source license file, e.g., MIT, Apache-2.0, or GPL-3.0, to the repository root.)

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 KMnO4-zx/huanhuan-chat
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Google Cloud Vertex AI
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Google Cloud Vertex AI · recommended 2×
  2. huggingface/transformers · recommended 1×
  3. GPT-2 · recommended 1×
  4. DistilGPT-2 · recommended 1×
  5. EleutherAI's GPT-Neo/GPT-J · recommended 1×
  • CATEGORY QUERY
    How can I fine-tune a language model to emulate a specific fictional character's speaking style?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers (huggingface/transformers)
    2. GPT-2
    3. DistilGPT-2
    4. EleutherAI's GPT-Neo/GPT-J
    5. Llama 2
    6. OpenAI API
    7. gpt-3.5-turbo
    8. Google Cloud Vertex AI
    9. text-bison@001
    10. chat-bison@001
    11. LoRA (Low-Rank Adaptation)
    12. PEFT (huggingface/peft)
    13. FastChat (lm-sys/FastChat)
    14. Vicuna
    15. Alpaca

    AI recommended 15 alternatives but never named KMnO4-zx/huanhuan-chat. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are effective techniques for building a chatbot from novel or script dialogue?
    you: not recommended
    AI recommended (in order):
    1. OpenAI GPT-3.5 Turbo
    2. OpenAI GPT-4
    3. Hugging Face Transformers
    4. Google Cloud Vertex AI
    5. LangChain
    6. LlamaIndex
    7. RASA
    8. Botpress
    9. TensorFlow
    10. Keras
    11. PyTorch

    AI recommended 11 alternatives but never named KMnO4-zx/huanhuan-chat. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 KMnO4-zx/huanhuan-chat?
    pass
    AI named KMnO4-zx/huanhuan-chat explicitly

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

  • If a team adopts KMnO4-zx/huanhuan-chat in production, what risks or prerequisites should they evaluate first?
    pass
    AI named KMnO4-zx/huanhuan-chat 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 KMnO4-zx/huanhuan-chat solve, and who is the primary audience?
    pass
    AI named KMnO4-zx/huanhuan-chat explicitly

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

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