RRepoGEO

REPOGEO REPORT · LITE

llSourcell/Doctor-Dignity

Default branch main · commit 3f2ffb6c · scanned 5/11/2026, 4:52:48 PM

GitHub: 3,836 stars · 415 forks

AI VISIBILITY SCORE
35 /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
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 llSourcell/Doctor-Dignity, 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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    medical-llm, usmle, offline-ai, patient-privacy, cross-platform, llama2, healthcare-ai, medical-assistant, open-source-ai
  • highreadme#2
    Reposition the README's opening to clearly state the project's core function

    Why:

    CURRENT
    # Doctor Dignity
    <p align="center">
    
    DISCLAIMER - Do not take any advice from Doctor Dignity seriously yet. This is a work in progress and taking any advice seriously could result in serious injury or even death. 
    
    </p>
    
    ## Overview
    Doctor Dignity is a Large Language Model that can pass the US Medical Licensing Exam.
    COPY-PASTE FIX
    # Doctor Dignity
    An open-source, offline, and private LLM designed to pass the US Medical Licensing Exam.
    <p align="center">
    
    DISCLAIMER - Do not take any advice from Doctor Dignity seriously yet. This is a work in progress and taking any advice seriously could result in serious injury or even death. 
    
    </p>
    
    ## Overview
    Doctor Dignity is a Large Language Model that can pass the US Medical Licensing Exam.
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/llSourcell/Doctor-Dignity

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 llSourcell/Doctor-Dignity
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Med-PaLM 2
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Med-PaLM 2 · recommended 1×
  2. Google Cloud Healthcare API · recommended 1×
  3. BioGPT · recommended 1×
  4. ClinicalBERT · recommended 1×
  5. GatorTron · recommended 1×
  • CATEGORY QUERY
    What are open-source medical LLMs for local deployment ensuring patient data privacy?
    you: not recommended
    AI recommended (in order):
    1. Med-PaLM 2
    2. Google Cloud Healthcare API
    3. BioGPT
    4. ClinicalBERT
    5. GatorTron
    6. PubMedGPT

    AI recommended 6 alternatives but never named llSourcell/Doctor-Dignity. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a cross-platform AI medical assistant for offline use on mobile devices.
    you: not recommended
    AI recommended (in order):
    1. Flutter (flutter/flutter)
    2. TensorFlow Lite (tensorflow/tensorflow)
    3. React Native (facebook/react-native)
    4. ONNX Runtime Mobile (microsoft/onnxruntime)
    5. ONNX (onnx/onnx)
    6. Xamarin (xamarin/xamarin-forms)
    7. ML.NET (dotnet/machinelearning)
    8. Swift (apple/swift)
    9. Kotlin (JetBrains/kotlin)
    10. Core ML
    11. ML Kit
    12. Ionic (ionic-team/ionic-framework)
    13. TensorFlow.js (tensorflow/tfjs)

    AI recommended 13 alternatives but never named llSourcell/Doctor-Dignity. 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 llSourcell/Doctor-Dignity?
    pass
    AI named llSourcell/Doctor-Dignity explicitly

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

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

    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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