RRepoGEO

REPOGEO REPORT · LITE

john-rocky/CoreML-Models

Default branch master · commit 41ec1e86 · scanned 6/30/2026, 6:11:54 AM

GitHub: 1,799 stars · 168 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 john-rocky/CoreML-Models, 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 clarify purpose and audience

    Why:

    CURRENT
    # CoreML-Models

# How to use
    COPY-PASTE FIX
    # CoreML-Models: A Curated Zoo of Pre-Converted Core ML Models for iOS/macOS Developers

This repository provides a comprehensive, curated collection of pre-converted Core ML models, ready for direct integration into your iOS and macOS applications. Find the model you need, download it, and bundle it in your project.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file (e.g., MIT, Apache-2.0) in the repository root to clarify usage terms for all models and code.
  • mediumhomepage#3
    Add a homepage URL to the repository settings

    Why:

    COPY-PASTE FIX
    Add a link to a relevant project page, demo, or documentation (e.g., a GitHub Pages site, a blog post, or a demo app link) in the repository settings.

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 john-rocky/CoreML-Models
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Core ML Tools
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Core ML Tools · recommended 2×
  2. Apple's Core ML Models Page · recommended 1×
  3. GitHub · recommended 1×
  4. Hugging Face · recommended 1×
  5. TensorFlow Hub · recommended 1×
  • CATEGORY QUERY
    Where can I find pre-trained CoreML models for various machine learning tasks on iOS?
    you: not recommended
    AI recommended (in order):
    1. Apple's Core ML Models Page
    2. Core ML Tools
    3. GitHub
    4. Hugging Face
    5. TensorFlow Hub
    6. PyTorch Hub

    AI recommended 6 alternatives but never named john-rocky/CoreML-Models. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What resources offer converted deep learning models for CoreML object detection or image classification?
    you: not recommended
    AI recommended (in order):
    1. Apple's Core ML Models
    2. Core ML Tools
    3. Hugging Face Transformers
    4. Papers With Code
    5. Turi Create

    AI recommended 5 alternatives but never named john-rocky/CoreML-Models. 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 john-rocky/CoreML-Models?
    pass
    AI named john-rocky/CoreML-Models explicitly

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

  • If a team adopts john-rocky/CoreML-Models in production, what risks or prerequisites should they evaluate first?
    pass
    AI named john-rocky/CoreML-Models 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 john-rocky/CoreML-Models solve, and who is the primary audience?
    pass
    AI did not name john-rocky/CoreML-Models — 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?

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john-rocky/CoreML-Models — 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