RRepoGEO

REPOGEO REPORT · LITE

xionghonglin/DoctorGLM

Default branch main · commit 77635150 · scanned 6/5/2026, 12:58:04 AM

GitHub: 835 stars · 89 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 xionghonglin/DoctorGLM, 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 H1 to emphasize specialization

    Why:

    CURRENT
    # DoctorGLM
基于 ChatGLM-6B的中文问诊模型
    COPY-PASTE FIX
    # DoctorGLM: 基于 ChatGLM-6B 的**专业中文医疗问诊模型**
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root with your chosen open-source license (e.g., MIT, Apache-2.0, GPL-3.0).
  • mediumtopics#3
    Expand repository topics to include more specific keywords

    Why:

    CURRENT
    chatglm-6b
    COPY-PASTE FIX
    chatglm-6b, medical-llm, chinese-nlp, healthcare-ai, medical-consultation, large-language-model, fine-tuning

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 xionghonglin/DoctorGLM
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. PULSE · recommended 1×
  5. CPM-Live · 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. PULSE
    5. CPM-Live

    AI recommended 5 alternatives but never named xionghonglin/DoctorGLM. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to build a conversational AI assistant for healthcare inquiries in Chinese?
    you: not recommended
    AI recommended (in order):
    1. Rasa Open Source
    2. Hugging Face Transformers
    3. BERT-base-chinese
    4. RoBERTa-wwm-ext
    5. MacBERT
    6. Microsoft Azure Bot Service
    7. Azure Cognitive Services for Language
    8. Language Understanding (LUIS)
    9. Text Analytics for health
    10. Google Dialogflow ES
    11. Google Dialogflow CX
    12. Google Cloud Natural Language API
    13. Baidu UNIT
    14. Tencent Cloud Intelligent Speech
    15. Tencent Cloud Natural Language Processing

    AI recommended 15 alternatives but never named xionghonglin/DoctorGLM. 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 xionghonglin/DoctorGLM?
    pass
    AI did not name xionghonglin/DoctorGLM — 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 xionghonglin/DoctorGLM in production, what risks or prerequisites should they evaluate first?
    pass
    AI named xionghonglin/DoctorGLM 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 xionghonglin/DoctorGLM solve, and who is the primary audience?
    pass
    AI named xionghonglin/DoctorGLM 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 xionghonglin/DoctorGLM. 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
<a href="https://repogeo.com/en/r/xionghonglin/DoctorGLM"><img src="https://repogeo.com/badge/xionghonglin/DoctorGLM.svg" alt="RepoGEO" /></a>
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xionghonglin/DoctorGLM — 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