RRepoGEO

REPOGEO REPORT · LITE

SCIR-HI/Med-ChatGLM

Default branch main · commit 84269cfc · scanned 5/31/2026, 4:03:14 PM

GitHub: 1,035 stars · 162 forks

AI VISIBILITY SCORE
22 /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
1 / 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 SCIR-HI/Med-ChatGLM, 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
    Add a direct value proposition for building Chinese medical AI assistants

    Why:

    CURRENT
    # ChatGLM-Med: 基于中文医学知识的ChatGLM模型微调

本项目开源了经过中文医学指令精调/指令微调(Instruct-tuning) 的ChatGLM-6B模型。
    COPY-PASTE FIX
    # ChatGLM-Med: 基于中文医学知识的ChatGLM模型微调

**SCIR-HI/Med-ChatGLM provides a ready-to-use, fine-tuned ChatGLM-6B model specifically designed for building AI assistants for Chinese medical information retrieval and Q&A.**

本项目开源了经过中文医学指令精调/指令微调(Instruct-tuning) 的ChatGLM-6B模型。
  • hightopics#2
    Expand topics to include LLM and fine-tuning specifics

    Why:

    CURRENT
    chinese, medical, medqa, nlp
    COPY-PASTE FIX
    chinese, medical, medqa, nlp, llm, large-language-model, finetuning, instruct-tuning, healthcare-ai, chatglm
  • mediumhomepage#3
    Add a homepage URL

    Why:

    COPY-PASTE FIX
    https://github.com/SCIR-HI/Med-ChatGLM

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 SCIR-HI/Med-ChatGLM
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Hugging Face Transformers
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Hugging Face Transformers · recommended 1×
  2. Hugging Face Datasets · recommended 1×
  3. Elasticsearch · recommended 1×
  4. IK Analyzer · recommended 1×
  5. jieba-analyzer · recommended 1×
  • CATEGORY QUERY
    How to build an AI assistant for medical information retrieval in Chinese?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers
    2. Hugging Face Datasets
    3. Elasticsearch
    4. IK Analyzer
    5. jieba-analyzer
    6. Faiss
    7. Rasa
    8. Neo4j
    9. Streamlit
    10. Gradio

    AI recommended 10 alternatives but never named SCIR-HI/Med-ChatGLM. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking resources to adapt open-source LLMs for specialized Chinese medical applications.
    you: not recommended
    AI recommended (in order):
    1. Chinese LLaMA-Alpaca
    2. PKU-GPT
    3. BELLE
    4. ChatGLM
    5. Med-PaLM 2
    6. BioGPT
    7. Hugging Face Transformers Library & Datasets

    AI recommended 7 alternatives but never named SCIR-HI/Med-ChatGLM. 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 SCIR-HI/Med-ChatGLM?
    pass
    AI did not name SCIR-HI/Med-ChatGLM — 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 SCIR-HI/Med-ChatGLM in production, what risks or prerequisites should they evaluate first?
    pass
    AI named SCIR-HI/Med-ChatGLM 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 SCIR-HI/Med-ChatGLM solve, and who is the primary audience?
    pass
    AI did not name SCIR-HI/Med-ChatGLM — 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?

Embed your GEO score

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MARKDOWN (README)
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  • Brand-free category queries5 vs 2 in Lite
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