RRepoGEO

REPOGEO REPORT · LITE

Kent0n-Li/ChatDoctor

Default branch main · commit e77bd7eb · scanned 5/11/2026, 11:47:40 AM

GitHub: 3,632 stars · 431 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 Kent0n-Li/ChatDoctor, 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
  • highabout#1
    Add a concise "About" description for better AI categorization

    Why:

    COPY-PASTE FIX
    ChatDoctor is an open-source medical chat model fine-tuned on LLaMA using extensive real-world doctor-patient conversations, designed for researchers and developers building medically accurate conversational AI.
  • hightopics#2
    Add relevant topics to improve AI categorization and searchability

    Why:

    COPY-PASTE FIX
    medical-llm, healthcare-ai, large-language-model, llama, medical-chatbot, conversational-ai, fine-tuning, doctor-patient-conversations, open-source-ai
  • mediumhomepage#3
    Add the project homepage link to the About section

    Why:

    COPY-PASTE FIX
    https://www.yunxiangli.top/ChatDoctor/

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 Kent0n-Li/ChatDoctor
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Google Cloud Healthcare API
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Google Cloud Healthcare API · recommended 1×
  2. Dialogflow CX · recommended 1×
  3. Azure Health Bot · recommended 1×
  4. Azure Text Analytics for health · recommended 1×
  5. Amazon Comprehend Medical · recommended 1×
  • CATEGORY QUERY
    How can I develop a conversational AI assistant specifically for medical patient interactions?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Healthcare API
    2. Dialogflow CX
    3. Azure Health Bot
    4. Azure Text Analytics for health
    5. Amazon Comprehend Medical
    6. Amazon Lex
    7. Rasa (RasaHQ/rasa)
    8. spaCy (explosion/spaCy)
    9. clinical-BERT
    10. Nuance Mix

    AI recommended 10 alternatives but never named Kent0n-Li/ChatDoctor. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What open-source large language models are fine-tuned with extensive medical domain knowledge?
    you: not recommended
    AI recommended (in order):
    1. Med-PaLM 2
    2. BioGPT (microsoft/BioGPT)
    3. PubMedGPT (stanford-oval/pubmedgpt)
    4. ClinicalBERT (EmilyAlsentzer/clinicalBERT)
    5. GatorTron (uf-hpc/GatorTron)
    6. BioMed-RoBERTa (UBC-NLP/BioMed-RoBERTa)

    AI recommended 6 alternatives but never named Kent0n-Li/ChatDoctor. 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 Kent0n-Li/ChatDoctor?
    pass
    AI named Kent0n-Li/ChatDoctor explicitly

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

  • If a team adopts Kent0n-Li/ChatDoctor in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Kent0n-Li/ChatDoctor 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 Kent0n-Li/ChatDoctor solve, and who is the primary audience?
    pass
    AI named Kent0n-Li/ChatDoctor 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 Kent0n-Li/ChatDoctor. 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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