REPOGEO REPORT · LITE

likedan/Awesome-CoreML-Models

Default branch master · commit f6575109 · scanned 5/27/2026, 5:48:01 PM

GitHub: 7,005 stars · 505 forks

AI VISIBILITY SCORE

22 /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

1 / 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 likedan/Awesome-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 the README's opening paragraph to highlight its core value

Why:

CURRENT

Since iOS 11, Apple released Core ML framework to help developers integrate machine learning models into applications. The official documentation We've put up the largest collection of machine learning models in Core ML format, to help iOS, macOS, tvOS, and watchOS developers experiment with machine learning techniques.

COPY-PASTE FIX

This repository is the **largest curated collection of machine learning models in Core ML format**, designed to help iOS, macOS, tvOS, and watchOS developers integrate powerful ML capabilities into their applications since iOS 11. Explore a comprehensive list of models, from image recognition to text detection, all ready for immediate use.

mediumhomepage#2
Add the repository's URL as the homepage in the About section
Why:
COPY-PASTE FIX
```
https://github.com/likedan/Awesome-CoreML-Models
```

lowreadme#3

Add a concise call to action at the top of the README

Why:

CURRENT

If you've converted a Core ML model, feel free to submit a pull request.

COPY-PASTE FIX

Got a Core ML model to share? We welcome pull requests to expand this collection!

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 likedan/Awesome-CoreML-Models

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Apple's Core ML Models

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

Apple's Core ML Models · recommended 1×
Core ML · recommended 1×
TensorFlow Lite Model Garden · recommended 1×
TensorFlow Lite · recommended 1×
tfcoreml · recommended 1×

CATEGORY QUERY
Where can I find pre-trained machine learning models ready for iOS app integration?
you: not recommended
AI recommended (in order):
1. Apple's Core ML Models
2. Core ML
3. TensorFlow Lite Model Garden
4. TensorFlow Lite
5. tfcoreml
6. PyTorch Mobile
7. PyTorch
8. TorchVision
9. Hugging Face Transformers
10. ONNX Model Zoo
11. ONNX
12. onnx-coreml
13. Keras Applications
14. Keras
15. TensorFlow
AI recommended 15 alternatives but never named likedan/Awesome-CoreML-Models. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What are good resources for a comprehensive list of Core ML models to download?
you: not recommended
AI recommended (in order):
1. Apple's Core ML Models Page
2. Core ML Tools (apple/coremltools)
3. Hugging Face Hub
4. TensorFlow Hub
5. PyTorch Hub
6. Awesome Core ML List
AI recommended 6 alternatives but never named likedan/Awesome-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 likedan/Awesome-CoreML-Models?
pass
AI did not name likedan/Awesome-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?
If a team adopts likedan/Awesome-CoreML-Models in production, what risks or prerequisites should they evaluate first?
pass
AI named likedan/Awesome-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 likedan/Awesome-CoreML-Models solve, and who is the primary audience?
pass
AI did not name likedan/Awesome-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?

Embed your GEO score

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MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/likedan/Awesome-CoreML-Models.svg)](https://repogeo.com/en/r/likedan/Awesome-CoreML-Models)

HTML

<a href="https://repogeo.com/en/r/likedan/Awesome-CoreML-Models"><img src="https://repogeo.com/badge/likedan/Awesome-CoreML-Models.svg" alt="RepoGEO" /></a>

Pro

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likedan/Awesome-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