RRepoGEO

REPOGEO REPORT · LITE

ZJU4HealthCare/HealthGPT

Default branch main · commit 9a8a8b29 · scanned 5/12/2026, 6:27:46 AM

GitHub: 1,610 stars · 238 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 ZJU4HealthCare/HealthGPT, 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, mllm, large-language-model, vision-language-model, healthcare-ai, medical-ai, multimodal-ai, medical-image-analysis, medical-text-analysis, medical-comprehension, medical-generation
  • highhomepage#2
    Set the repository homepage URL

    Why:

    COPY-PASTE FIX
    https://llsuzy.github.io/HealthGPT.github.io/
  • mediumreadme#3
    Emphasize 'unified AI system' aspect in README opening

    Why:

    CURRENT
    **HealthGPT Series** is a medical multimodal large language model (MLLM) family composed of two subrepositories:
    COPY-PASTE FIX
    **HealthGPT Series** is a comprehensive medical multimodal large language model (MLLM) family, designed as a unified AI system for medical data comprehension and generation. It is composed of two subrepositories:

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 ZJU4HealthCare/HealthGPT
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. GPT-4 · recommended 1×
  3. Llama 2 · recommended 1×
  4. ClinicalBERT · recommended 1×
  5. BioBERT · recommended 1×
  • CATEGORY QUERY
    What are the best large language models for medical image and text analysis?
    you: not recommended
    AI recommended (in order):
    1. Med-PaLM 2
    2. GPT-4
    3. Llama 2
    4. ClinicalBERT
    5. BioBERT
    6. RadBERT
    7. Hugging Face Transformers Library
    8. MONAI

    AI recommended 8 alternatives but never named ZJU4HealthCare/HealthGPT. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I build a unified AI system for medical data comprehension and generation?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers
    2. datasets
    3. accelerate
    4. PyTorch Lightning
    5. spaCy
    6. TensorFlow
    7. Keras
    8. TensorFlow Hub
    9. TensorFlow Extended (TFX)
    10. OpenAI API
    11. Gensim
    12. SciPy
    13. NumPy

    AI recommended 13 alternatives but never named ZJU4HealthCare/HealthGPT. 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 ZJU4HealthCare/HealthGPT?
    pass
    AI named ZJU4HealthCare/HealthGPT explicitly

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

  • If a team adopts ZJU4HealthCare/HealthGPT in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ZJU4HealthCare/HealthGPT 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 ZJU4HealthCare/HealthGPT solve, and who is the primary audience?
    pass
    AI named ZJU4HealthCare/HealthGPT 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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ZJU4HealthCare/HealthGPT — 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