RRepoGEO

REPOGEO REPORT · LITE

michael-wzhu/ChatMed

Default branch main · commit 0d6726cd · scanned 5/30/2026, 4:37:51 PM

GitHub: 623 stars · 84 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 michael-wzhu/ChatMed, 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 core value proposition to the top

    Why:

    CURRENT
    [**中文**](./README.md) | [**English**](./README_EN.md)

<p align="center">
    <br>
    
    <br>
</p>
<p align="center">
    
    
</p>
    COPY-PASTE FIX
    [**中文**](./README.md) | [**English**](./README_EN.md)

ChatMed 是一个专注于中文医疗领域的大规模语言模型系列，旨在提供准确的在线医疗咨询和中医药知识服务。
  • hightopics#2
    Add specific topics to improve categorization

    Why:

    COPY-PASTE FIX
    chinese-llm, medical-llm, healthcare-ai, tcm, nlp, large-language-models, medical-consultation, chinese-medicine
  • highlicense#3
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root with the text of a suitable open-source license (e.g., Apache-2.0, MIT, GPL-3.0) that aligns with the project's intent.

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 michael-wzhu/ChatMed
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ChatGLM-6B
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. ChatGLM-6B · recommended 1×
  2. Baichuan-7B/13B · recommended 1×
  3. Qwen-7B/14B · recommended 1×
  4. Pangu-alpha · recommended 1×
  5. CPM-Bee · recommended 1×
  • CATEGORY QUERY
    Looking for an open-source large language model for Chinese medical consultation.
    you: not recommended
    AI recommended (in order):
    1. ChatGLM-6B
    2. Baichuan-7B/13B
    3. Qwen-7B/14B
    4. Pangu-alpha
    5. CPM-Bee

    AI recommended 5 alternatives but never named michael-wzhu/ChatMed. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need a pre-trained model to develop an AI assistant for traditional Chinese medicine.
    you: not recommended
    AI recommended (in order):
    1. BioBERT
    2. ClinicalBERT
    3. PubMedBERT
    4. SciBERT
    5. BERT
    6. RoBERTa
    7. GPT-3.5
    8. GPT-4
    9. Chinese BERT
    10. ERNIE

    AI recommended 10 alternatives but never named michael-wzhu/ChatMed. 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 michael-wzhu/ChatMed?
    pass
    AI named michael-wzhu/ChatMed explicitly

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

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

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

Embed your GEO score

Drop this badge into the README of michael-wzhu/ChatMed. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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HTML
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