RRepoGEO

REPOGEO REPORT · LITE

WangRongsheng/XrayGLM

Default branch main · commit a30173b6 · scanned 5/25/2026, 5:32:48 AM

GitHub: 1,078 stars · 146 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 WangRongsheng/XrayGLM, 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
    Reposition README's opening to highlight core purpose and differentiation

    Why:

    CURRENT
    The current README starts with a general note about Medical VLM and then a broad introduction to LLMs.
    COPY-PASTE FIX
    Add a prominent, concise statement at the very beginning of the README (e.g., as the first line after the title or a main heading) that clearly states: 'XrayGLM is the first Chinese medical multimodal large language model specifically designed for interpreting chest X-ray images and generating diagnostic reports, addressing the gap in Chinese medical VLM research.'
  • highhomepage#2
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    In the repository settings, set the 'Website' field (homepage) to `https://github.com/WangRongsheng/XrayGLM`.
  • mediumlicense#3
    Clarify the existing license in the README

    Why:

    COPY-PASTE FIX
    Add a dedicated 'License' section to the README, stating: 'This project includes a LICENSE file detailing its terms of use. Please refer to the LICENSE file for specific licensing information, as it is not a standard SPDX template.'

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 WangRongsheng/XrayGLM
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Infervision
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Infervision · recommended 1×
  2. DeepMind's AlphaFold · recommended 1×
  3. Stanford's CheXNet · recommended 1×
  4. Google's medical AI initiatives · recommended 1×
  5. Baidu ERNIE Bot · recommended 1×
  • CATEGORY QUERY
    What AI models can interpret chest X-ray images and generate medical reports in Chinese?
    you: not recommended
    AI recommended (in order):
    1. Infervision
    2. DeepMind's AlphaFold
    3. Stanford's CheXNet
    4. Google's medical AI initiatives
    5. Baidu ERNIE Bot
    6. Alibaba Tongyi Qianwen
    7. OpenAI's GPT-4
    8. RadLogics
    9. CheXpert
    10. MIMIC-CXR
    11. BERT-base-Chinese
    12. XLNet-Chinese
    13. Tencent Miying

    AI recommended 13 alternatives but never named WangRongsheng/XrayGLM. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a multimodal large language model for medical image analysis and interactive dialogue.
    you: not recommended
    AI recommended (in order):
    1. Med-PaLM 2
    2. GPT-4V
    3. LLaVA-Med
    4. InternLM-XComposer
    5. Fuyu-8B

    AI recommended 5 alternatives but never named WangRongsheng/XrayGLM. 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 WangRongsheng/XrayGLM?
    pass
    AI named WangRongsheng/XrayGLM explicitly

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

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