RRepoGEO

REPOGEO REPORT · LITE

AgenticHealthAI/Awesome-AI-Agents-for-Healthcare

Default branch main · commit bf1dc19e · scanned 5/28/2026, 10:12:53 AM

GitHub: 1,008 stars · 108 forks

AI VISIBILITY SCORE
22 /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
1 / 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 AgenticHealthAI/Awesome-AI-Agents-for-Healthcare, 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
    Explicitly state 'awesome list' in the README's opening

    Why:

    CURRENT
    This repository is a curated list of research papers, projects, and resources related to the application of **Agentic AI / AI agents for healthcare**...
    COPY-PASTE FIX
    This repository is an **awesome list** and curated collection of research papers, projects, and resources related to the application of **Agentic AI / AI agents for healthcare**...
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root containing the text of the MIT License. This is a common choice for awesome lists and ensures clarity for users.
  • mediumtopics#3
    Expand repository topics to include 'awesome-list' and 'survey'

    Why:

    CURRENT
    agentic-ai, ai-agents, healthcare-agents, medical-agents
    COPY-PASTE FIX
    agentic-ai, ai-agents, healthcare-agents, medical-agents, awesome-list, survey, research-papers, curated-list

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 AgenticHealthAI/Awesome-AI-Agents-for-Healthcare
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 1×
  2. LlamaIndex · recommended 1×
  3. Microsoft Semantic Kernel · recommended 1×
  4. Haystack · recommended 1×
  5. AutoGPT · recommended 1×
  • CATEGORY QUERY
    What AI agent frameworks are best for developing healthcare applications?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Microsoft Semantic Kernel
    4. Haystack
    5. AutoGPT
    6. BabyAGI
    7. CrewAI

    AI recommended 7 alternatives but never named AgenticHealthAI/Awesome-AI-Agents-for-Healthcare. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I use large language models to automate tasks in medical administration?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. Google Cloud Healthcare API
    3. Vertex AI
    4. Microsoft Azure AI
    5. Azure OpenAI Service
    6. Azure Cognitive Services for Language
    7. Hugging Face Transformers
    8. Amazon Comprehend Medical

    AI recommended 8 alternatives but never named AgenticHealthAI/Awesome-AI-Agents-for-Healthcare. 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 AgenticHealthAI/Awesome-AI-Agents-for-Healthcare?
    pass
    AI did not name AgenticHealthAI/Awesome-AI-Agents-for-Healthcare — 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 AgenticHealthAI/Awesome-AI-Agents-for-Healthcare in production, what risks or prerequisites should they evaluate first?
    pass
    AI named AgenticHealthAI/Awesome-AI-Agents-for-Healthcare 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 AgenticHealthAI/Awesome-AI-Agents-for-Healthcare solve, and who is the primary audience?
    pass
    AI did not name AgenticHealthAI/Awesome-AI-Agents-for-Healthcare — 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?

Embed your GEO score

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AgenticHealthAI/Awesome-AI-Agents-for-Healthcare — RepoGEO report