RRepoGEO

REPOGEO REPORT · LITE

llSourcell/Doctor-Dignity

Default branch main · commit 3f2ffb6c · scanned 6/21/2026, 9:53:29 PM

GitHub: 3,827 stars · 414 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
28 /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
2 / 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 llSourcell/Doctor-Dignity, 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
  • hightopics#1
    Add specific topics to improve categorization

    Why:

    COPY-PASTE FIX
    medical-llm, healthcare-ai, private-ai, offline-llm, usmle, llama2-finetune, constitutional-ai
  • mediumhomepage#2
    Add a homepage URL to repository metadata

    Why:

    COPY-PASTE FIX
    [Insert URL to project website, demo, or relevant documentation here]

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 llSourcell/Doctor-Dignity
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Llama 3
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Llama 3 · recommended 1×
  2. Mistral 7B Instruct v0.2 · recommended 1×
  3. Gemma · recommended 1×
  4. Phi-3-mini-4k-instruct · recommended 1×
  5. TinyLlama-1.1B-Chat-v1.0 · recommended 1×
  • CATEGORY QUERY
    How to get private medical advice from an AI model running locally?
    you: not recommended
    Show full AI answer
  • CATEGORY QUERY
    Seeking an on-device large language model for healthcare data confidentiality.
    you: not recommended
    AI recommended (in order):
    1. Llama 3
    2. Mistral 7B Instruct v0.2
    3. Gemma
    4. Phi-3-mini-4k-instruct
    5. TinyLlama-1.1B-Chat-v1.0
    6. Falcon-7B-Instruct
    7. Hugging Face Transformers
    8. llama.cpp
    9. MLC LLM

    AI recommended 9 alternatives but never named llSourcell/Doctor-Dignity. 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 llSourcell/Doctor-Dignity?
    pass
    AI named llSourcell/Doctor-Dignity explicitly

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

  • If a team adopts llSourcell/Doctor-Dignity in production, what risks or prerequisites should they evaluate first?
    pass
    AI named llSourcell/Doctor-Dignity 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 llSourcell/Doctor-Dignity solve, and who is the primary audience?
    pass
    AI did not name llSourcell/Doctor-Dignity — likely talking about a different project

    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 llSourcell/Doctor-Dignity. 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/llSourcell/Doctor-Dignity.svg)](https://repogeo.com/en/r/llSourcell/Doctor-Dignity)
HTML
<a href="https://repogeo.com/en/r/llSourcell/Doctor-Dignity"><img src="https://repogeo.com/badge/llSourcell/Doctor-Dignity.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

llSourcell/Doctor-Dignity — 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