RRepoGEO

REPOGEO REPORT · LITE

epfLLM/meditron

Default branch main · commit a7c7cda3 · scanned 5/17/2026, 10:17:25 AM

GitHub: 2,172 stars · 210 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 epfLLM/meditron, 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, large-language-model, llm, medical-ai, healthcare-ai, llama-2-finetune, open-source-llm, medical-reasoning
  • mediumreadme#2
    Refine the README's opening sentence for clearer positioning

    Why:

    CURRENT
    Meditron is a suite of open-source medical Large Language Models (LLMs).
    COPY-PASTE FIX
    Meditron offers a leading suite of open-source medical Large Language Models (LLMs), specifically designed for researchers and developers building advanced medical AI applications.
  • lowreadme#3
    Clarify model and code licensing prominently in the README

    Why:

    COPY-PASTE FIX
    Add a sentence near the top of the README, for example: "While the code for this project is released under the Apache 2.0 License, please note that the Meditron models themselves are governed by the Llama 2 Community License Agreement."

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 epfLLM/meditron
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 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Med-PaLM 2 · recommended 2×
  2. BioGPT · recommended 2×
  3. PubMedGPT · recommended 2×
  4. GatorTron · recommended 2×
  5. Clinical-T5 · recommended 1×
  • CATEGORY QUERY
    What are good open-source large language models for medical domain applications?
    you: not recommended
    AI recommended (in order):
    1. Med-PaLM 2
    2. BioGPT
    3. PubMedGPT
    4. Clinical-T5
    5. GatorTron
    6. MedLLaMA
    7. ChatDoctor

    AI recommended 7 alternatives but never named epfLLM/meditron. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking pre-trained language models for medical reasoning tasks, adapted from general LLMs.
    you: not recommended
    AI recommended (in order):
    1. Med-PaLM 2
    2. BioGPT
    3. PubMedGPT
    4. ClinicalBERT
    5. GatorTron

    AI recommended 5 alternatives but never named epfLLM/meditron. 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 epfLLM/meditron?
    pass
    AI named epfLLM/meditron explicitly

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

  • If a team adopts epfLLM/meditron in production, what risks or prerequisites should they evaluate first?
    pass
    AI named epfLLM/meditron 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 epfLLM/meditron solve, and who is the primary audience?
    pass
    AI named epfLLM/meditron 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 epfLLM/meditron. 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/epfLLM/meditron"><img src="https://repogeo.com/badge/epfLLM/meditron.svg" alt="RepoGEO" /></a>
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epfLLM/meditron — 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