RRepoGEO

REPOGEO REPORT · LITE

Google-Health/medgemma

Default branch main · commit a60a6602 · scanned 5/10/2026, 9:57:53 AM

GitHub: 1,470 stars · 251 forks

AI VISIBILITY SCORE
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 Google-Health/medgemma, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highabout#1
    Add a concise 'About' description for the repository

    Why:

    COPY-PASTE FIX
    MedGemma is a collection of Gemma 3 variants (4B multimodal, 27B text-only) specifically trained for medical text and image comprehension, enabling developers to build healthcare AI applications.
  • mediumhomepage#2
    Add a homepage URL to the repository

    Why:

    COPY-PASTE FIX
    https://github.com/Google-Health/medgemma

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 Google-Health/medgemma
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
BioBERT
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. BioBERT · recommended 2×
  2. ClinicalBERT · recommended 2×
  3. Google Cloud Healthcare & Life Sciences API · recommended 1×
  4. Microsoft Azure AI for Health · recommended 1×
  5. Amazon Comprehend Medical · recommended 1×
  • CATEGORY QUERY
    What AI models are available for medical image and text analysis in healthcare applications?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Healthcare & Life Sciences API
    2. Microsoft Azure AI for Health
    3. Amazon Comprehend Medical
    4. NVIDIA Clara Parabricks
    5. NVIDIA Clara Train SDK
    6. Rad AI
    7. IBM Watson Health
    8. Hugging Face Transformers (huggingface/transformers)
    9. BioBERT
    10. ClinicalBERT
    11. Med-PaLM

    AI recommended 11 alternatives but never named Google-Health/medgemma. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a multimodal large language model pre-trained for medical data understanding.
    you: not recommended
    AI recommended (in order):
    1. Med-PaLM 2
    2. BioGPT
    3. PubMedGPT
    4. ClinicalBERT
    5. BioBERT
    6. GatorTron

    AI recommended 6 alternatives but never named Google-Health/medgemma. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    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 Google-Health/medgemma?
    pass
    AI named Google-Health/medgemma explicitly

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

  • If a team adopts Google-Health/medgemma in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Google-Health/medgemma 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 Google-Health/medgemma solve, and who is the primary audience?
    pass
    AI named Google-Health/medgemma 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 Google-Health/medgemma. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/Google-Health/medgemma.svg)](https://repogeo.com/en/r/Google-Health/medgemma)
HTML
<a href="https://repogeo.com/en/r/Google-Health/medgemma"><img src="https://repogeo.com/badge/Google-Health/medgemma.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

Google-Health/medgemma — 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