RRepoGEO

REPOGEO REPORT · LITE

pariskang/CMLM-ZhongJing

Default branch main · commit 12052928 · scanned 6/16/2026, 3:03:29 PM

GitHub: 500 stars · 50 forks

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 pariskang/CMLM-ZhongJing, 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 README's opening paragraph to clarify primary differentiator

    Why:

    CURRENT
    > 2023年5月，我们训练了首个中医基础模型-ZhongJIngGPT，灵感源自中国古代杰出医家**张仲景**的智慧。旨在阐明中医博大精深之知识，传承古代智慧与现代技术创新，为医学领域提供可信赖和专业的工具。
    COPY-PASTE FIX
    > **CMLM-ZhongJing** 是首个专为传统中医领域打造的预训练大语言模型，受古代中医学巨匠张仲景深邃智慧启迪。我们采用创新的条件掩码语言模型（CMLM）架构，旨在阐明中医博大精深之知识，传承古代智慧与现代技术创新，为医学领域提供可信赖和专业的工具。
  • mediumhomepage#2
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://huggingface.co/CMLM/ZhongjingGPT1_13B
  • mediumtopics#3
    Refine topics to include 'AI assistant' and specific medical LLM terms

    Why:

    CURRENT
    chatbot, chinese-medicine, chinese-medicine-tcm, cmlm-zhongjing, large-language-models, zhngzhongjing, zhongjinggpt
    COPY-PASTE FIX
    ai-assistant, chatbot, chinese-medicine, chinese-medicine-tcm, cmlm-zhongjing, large-language-models, medical-ai, medical-llm, tcm-llm, zhngzhongjing, zhongjinggpt

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 pariskang/CMLM-ZhongJing
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI GPT-4
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI GPT-4 · recommended 1×
  2. GPT-3.5 Turbo · recommended 1×
  3. huggingface/transformers · recommended 1×
  4. BioBERT · recommended 1×
  5. ClinicalBERT · recommended 1×
  • CATEGORY QUERY
    How can I build a specialized AI assistant for traditional medical knowledge and diagnostics?
    you: not recommended
    AI recommended (in order):
    1. OpenAI GPT-4
    2. GPT-3.5 Turbo
    3. Hugging Face Transformers (huggingface/transformers)
    4. BioBERT
    5. ClinicalBERT
    6. Neo4j (neo4j/neo4j)
    7. SpaCy (explosion/spaCy)
    8. LangChain (langchain-ai/langchain)
    9. LlamaIndex (run-llama/llama_index)
    10. Streamlit (streamlit/streamlit)
    11. Gradio (gradio-app/gradio)

    AI recommended 11 alternatives but never named pariskang/CMLM-ZhongJing. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What large language models are available for processing and generating traditional Chinese medicine information?
    you: not recommended
    AI recommended (in order):
    1. SenseChat
    2. ERNIE Bot
    3. Tongyi Qianwen
    4. GLM
    5. Pangu-Σ
    6. GPT-4
    7. LLaMA 3

    AI recommended 7 alternatives but never named pariskang/CMLM-ZhongJing. 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 pariskang/CMLM-ZhongJing?
    pass
    AI named pariskang/CMLM-ZhongJing explicitly

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

  • If a team adopts pariskang/CMLM-ZhongJing in production, what risks or prerequisites should they evaluate first?
    pass
    AI named pariskang/CMLM-ZhongJing 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 pariskang/CMLM-ZhongJing solve, and who is the primary audience?
    pass
    AI did not name pariskang/CMLM-ZhongJing — 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?

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pariskang/CMLM-ZhongJing — RepoGEO report