RRepoGEO

REPOGEO REPORT · LITE

mbzuai-oryx/XrayGPT

Default branch main · commit d0baa6a0 · scanned 6/16/2026, 7:57:45 AM

GitHub: 532 stars · 63 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 mbzuai-oryx/XrayGPT, 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
    Add a concise, application-focused introduction to the README

    Why:

    CURRENT
    The current README starts with the H1, followed by author list and news section before detailing "About XrayGPT".
    COPY-PASTE FIX
    Add the following sentence directly after the H1: "XrayGPT is an open-source framework designed to automatically generate comprehensive diagnostic summaries and answer clinical questions directly from chest X-ray images, leveraging medical vision-language models."
  • hightopics#2
    Add relevant topics to improve categorization

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    medical-imaging, chest-xray, radiology, vision-language-model, llm, medical-ai, report-generation, summarization, bionlp, acl2024
  • highlicense#3
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a LICENSE file (e.g., MIT or Apache-2.0) in the root of the repository.

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 mbzuai-oryx/XrayGPT
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
huggingface/transformers
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. huggingface/transformers · recommended 1×
  2. pytorch/pytorch · recommended 1×
  3. tensorflow/tensorflow · recommended 1×
  4. Google Cloud Vertex AI · recommended 1×
  5. Microsoft Azure Machine Learning · recommended 1×
  • CATEGORY QUERY
    How can I automatically generate summaries for chest X-ray images using AI?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers (huggingface/transformers)
    2. PyTorch (pytorch/pytorch)
    3. TensorFlow/Keras (tensorflow/tensorflow)
    4. Google Cloud Vertex AI
    5. Microsoft Azure Machine Learning
    6. OpenAI GPT-4V

    AI recommended 6 alternatives but never named mbzuai-oryx/XrayGPT. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What AI tools provide automated diagnostic report generation from medical scans?
    you: not recommended
    AI recommended (in order):
    1. Aidoc
    2. Viz.ai
    3. Qure.ai
    4. DeepMind
    5. GE Healthcare
    6. Siemens Healthineers
    7. Zebra Medical Vision

    AI recommended 7 alternatives but never named mbzuai-oryx/XrayGPT. 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 mbzuai-oryx/XrayGPT?
    pass
    AI named mbzuai-oryx/XrayGPT explicitly

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

  • If a team adopts mbzuai-oryx/XrayGPT in production, what risks or prerequisites should they evaluate first?
    pass
    AI named mbzuai-oryx/XrayGPT 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 mbzuai-oryx/XrayGPT solve, and who is the primary audience?
    pass
    AI named mbzuai-oryx/XrayGPT explicitly

    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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MARKDOWN (README)
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mbzuai-oryx/XrayGPT — 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