RRepoGEO

REPOGEO REPORT · LITE

epfLLM/meditron

Default branch main · commit a7c7cda3 · scanned 6/28/2026, 12:27:52 PM

GitHub: 2,190 stars · 212 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
    llm, large-language-model, medical-llm, healthcare-ai, nlp, deep-learning, llama-2, open-source-ai, medical-reasoning
  • mediumreadme#2
    Emphasize open-source and performance in the README's first sentence

    Why:

    CURRENT
    Meditron is a suite of open-source medical Large Language Models (LLMs).
    COPY-PASTE FIX
    Meditron is a suite of **state-of-the-art open-source medical Large Language Models (LLMs)**, outperforming models like Llama-2-70B, GPT-3.5, and Flan-PaLM on medical reasoning tasks.
  • lowcomparison#3
    Add a 'Comparison to Alternatives' section in the README

    Why:

    COPY-PASTE FIX
    ## Comparison to Alternatives
    
    Meditron offers a unique open-source alternative to models like Med-PaLM 2, BioGPT, PubMedGPT, ClinicalBERT, and GatorTron. While these models are prominent in the medical AI landscape, Meditron provides a fully transparent, adaptable, and high-performing suite of LLMs specifically fine-tuned for medical reasoning tasks, built upon Llama-2 and continuously pre-trained on a comprehensively curated medical corpus. Our models, particularly Meditron-70B, have demonstrated superior performance against Llama-2-70B, GPT-3.5, and Flan-PaLM on multiple medical benchmarks, making it an ideal choice for researchers and developers seeking robust, customizable, and auditable medical AI solutions.

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. ClinicalBERT · recommended 2×
  5. GatorTron · recommended 2×
  • CATEGORY QUERY
    What open-source large language models are available for medical domain applications and research?
    you: not recommended
    AI recommended (in order):
    1. Med-PaLM 2
    2. BioGPT
    3. PubMedGPT
    4. ClinicalBERT
    5. GatorTron
    6. MedAlpaca
    7. LLaMA

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

    Show full AI answer
  • CATEGORY QUERY
    Which pre-trained large language models excel at medical reasoning tasks and understanding?
    you: not recommended
    AI recommended (in order):
    1. Med-PaLM 2
    2. GPT-4
    3. BioGPT
    4. PubMedGPT
    5. ClinicalBERT
    6. GatorTron

    AI recommended 6 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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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