REPOGEO REPORT · LITE

mortenjust/native-diffusion

Default branch main · commit ad580b7a · scanned 6/17/2026, 3:27:06 PM

GitHub: 499 stars · 34 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 mortenjust/native-diffusion, 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 clarify its role as a developer library

Why:

CURRENT

Native Diffusion Swift Package

Join us on Discord

Native Diffusion runs Stable Diffusion models **locally** on macOS / iOS devices, in Swift, using the MPSGraph framework (not Python).

COPY-PASTE FIX

Native Diffusion Swift Package: Integrate Stable Diffusion into your iOS/macOS apps.

Join us on Discord

Native Diffusion is a Swift Package that enables **local, on-device** Stable Diffusion inference directly within your macOS and iOS applications, leveraging Apple's MPSGraph framework for native performance (no Python dependencies).

hightopics#2

Add relevant topics to the repository

Why:

COPY-PASTE FIX

swift, ios, macos, stable-diffusion, ai, machine-learning, coreml, mpsgraph, swift-package-manager, image-generation, on-device-ai

mediumhomepage#3
Add a homepage URL to the repository's About section
Why:
COPY-PASTE FIX
```
https://github.com/mortenjust/native-diffusion
```

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 mortenjust/native-diffusion

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

DiffusionBee

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

DiffusionBee · recommended 1×
InvokeAI · recommended 1×
Automatic1111's Stable Diffusion web UI · recommended 1×
Hugging Face Diffusers Library · recommended 1×
Core ML Tools · recommended 1×

CATEGORY QUERY
How to run stable diffusion models directly on Apple devices for native performance?
you: not recommended
AI recommended (in order):
1. DiffusionBee
2. InvokeAI
3. Automatic1111's Stable Diffusion web UI
4. Hugging Face Diffusers Library
5. Core ML Tools
6. MLX
AI recommended 6 alternatives but never named mortenjust/native-diffusion. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Looking for a Swift library to integrate AI image generation into my iOS app.
you: not recommended
AI recommended (in order):
1. Core ML
2. Replicate
3. Alamofire (Alamofire/Alamofire)
4. OpenAI API
5. Hugging Face Inference API
6. Stability AI API
AI recommended 6 alternatives but never named mortenjust/native-diffusion. 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 mortenjust/native-diffusion?
pass
AI did not name mortenjust/native-diffusion — 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 mortenjust/native-diffusion in production, what risks or prerequisites should they evaluate first?
pass
AI named mortenjust/native-diffusion 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 mortenjust/native-diffusion solve, and who is the primary audience?
pass
AI did not name mortenjust/native-diffusion — 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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Live preview

MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/mortenjust/native-diffusion.svg)](https://repogeo.com/en/r/mortenjust/native-diffusion)

HTML

<a href="https://repogeo.com/en/r/mortenjust/native-diffusion"><img src="https://repogeo.com/badge/mortenjust/native-diffusion.svg" alt="RepoGEO" /></a>

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mortenjust/native-diffusion — 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