#llmsmap.me

Independent technical audit

appzung.com

appzung.com

Overall AI readiness score

A combined result across all audit signals.

89of 100Excellent
AI readiness audit: 7/21/2026Public technical data

Overall AI readiness assessment

How ready appzung.com is for AI systems

89/100

AppZung was independently audited by llmsmap. appzung.com currently scores 89/100 for AI readiness. The result combines AI-specific files, crawler policy, sitemap discovery, structured homepage data, and—when available—the mobile Google Lighthouse technical profile.

Audit context

llms.txt is accessible and contains 344 tokens. An expanded llms-full.txt is also available with — tokens, giving agents more direct context. A separate ai.txt policy is published.

robots.txt is available. 11 of 11 tracked AI bots are not blocked. Declared sitemaps: 1. The homepage exposes Schema.org types OnlineBusiness; 6 OpenGraph tags were found and markup completeness is 60%.

The mobile Lighthouse profile adds Performance 92/100, Accessibility 93/100, Best Practices 100/100, SEO 100/100, and experimental Agentic Browsing 67/100. These signals have a limited weight: they complement rather than replace llms.txt, robots.txt, and structured-data checks.

Confirmed strengths

  • Accessible llms.txt
  • Expanded llms-full.txt
  • Published AI policy
  • 1 sitemap declaration
  • Schema.org: OnlineBusiness

Priority improvements

  1. 1Complete OpenGraph and canonical homepage metadata.
llms.txt tokens344
llms-full.txt tokens
ai.txt
sitemap.xml

Google Lighthouse technical profile

A mobile Lighthouse measurement. Google’s experimental Agentic Browsing category is explained separately and does not replace the broader llmsmap AI-readiness score.

Mobile · Lighthouse
92

Performance

93

Accessibility

100

Best Practices

100

Technical SEO

67

Agentic Browsing

What these results mean

The mobile page renders efficiently; its largest visible content block appeared in 2.7 s.

Accessibility scored 93/100, Best Practices 100/100, and technical SEO 100/100. The experimental Agentic Browsing category scored 67/100. It measures signals Google currently tests for software agents and is shown separately from the llmsmap AI-readiness score.

1

Free the main thread and accelerate the first view

Split long JavaScript tasks, defer non-critical scripts and styles, and shorten blocking request chains. This helps the primary content appear sooner and makes controls usable earlier.

2

Optimise images and their loading order

Serve correctly sized modern formats, prioritise the primary visual, and lazy-load content below the first viewport.

3

Reduce network delay

Improve server response time, remove unnecessary redirects and repeat downloads, and use compression, caching, and selective preconnect hints.

4

Make controls unambiguous

Give buttons and links accessible names, associate labels with fields, and use ordered headings and semantic regions. The same structure helps screen readers and software agents understand actions.

FCP2.7 s

First content

LCP2.7 s

Main content

CLS0.025

Layout stability

TBT0 ms

Blocking time

SI2.7 s

Visual speed

Metric glossary
FCP · First content
When the first text or image appeared on screen.
LCP · Main content
When the largest visible element in the first viewport rendered.
CLS · Layout stability
How much content shifted unexpectedly while loading; lower is better.
TBT · Blocking time
How long the browser main thread could not respond quickly to input.
SI · Visual speed
How quickly the visible viewport filled with content.
7/21/2026Lighthouse 13.4.0Mobile profile

AI readiness checks

Machine-readable files, crawler policy, discovery, and homepage markup.

llms.txt

File found and accessible

https://appzung.com/llms.txt
llms-full.txt

Full version is available

https://appzung.com/llms-full.txt
ai.txt

AI rules are defined

https://appzung.com/ai.txt
robots.txt

File found

https://appzung.com/robots.txt
Sitemap in robots.txt1

1 sitemap found

Schema.org (JSON-LD)

Types: OnlineBusiness

OpenGraph60%

6 OG tags found

AI bot access

Based on robots.txt analysis

GPTBotNot mentioned
OAI-SearchBotNot mentioned
ChatGPT-UserNot mentioned
Google-ExtendedNot mentioned
ClaudeBotNot mentioned
Claude-SearchBotNot mentioned
Claude-UserNot mentioned
BytespiderNot mentioned
CCBotNot mentioned
PerplexityBotNot mentioned
Perplexity-UserNot mentioned

Sitemaps

Declared discovery routes for crawlers and agents.

OpenGraph tags

Social preview metadata found on the homepage.

Markup completeness: 60%
og:titleAppZung CodePush - The modern CodePush platform for mobile developers
og:typewebsite
og:urlhttps://appzung.com/
og:image:urlhttps://appzung.com/banner.png
og:image:altAppZung logo

Schema.org markup

Structured entities and properties exposed on the homepage.

Types found: 1 · Properties: 6
OnlineBusiness
nameAppZung
urlhttps://appzung.com
descriptionAppZung provides a modern CodePush platform for mobile developers, offering seamless app updates without going through app stores.
logohttps://appzung.com/favicon.svg
sameAshttps://github.com/appzung, https://twitter.com/appzung
emailhello@appzung.com
# AppZung

> AppZung provides CodePush services for mobile app developers.
The platform allows deploying updates to mobile apps instantly without going through app store reviews.

Key features:
- React Native and Expo support
- Community support for other frameworks (Cordova)
- Migration tools from AppCenter
- Code signing
- EU-based infrastructure
- Automatic rollbacks
- Staged deployments
- Analytics and security controls
- Great customer support

## Docs

### Core

- [What is CodePush?](https://appzung.com/what-is-codepush): Core concepts and use cases
- [Frequently asked questions](https://appzung.com/faq): Questions about features, migration from AppCenter, security, pricing, and technical specifications

### CodePush React Native SDK

- [README](https://raw.githubusercontent.com/AppZung/react-native-code-push/refs/heads/main/README.md)
- [Code signing](https://raw.githubusercontent.com/AppZung/react-native-code-push/refs/heads/main/docs/code-signing.md)

### CodePush Expo config plugin

- [README](https://raw.githubusercontent.com/AppZung/expo-config-code-push/refs/heads/main/README.md)

### CLI

- [README](https://unpkg.com/@appzung/cli/README.md)
- [CHANGELOG](https://unpkg.com/@appzung/cli/CHANGELOG.md)

## Optional

- [Developer console](https://console.appzung.com)
- [Support](mailto:support@appzung.com)
- [GitHub](https://github.com/appzung)
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Added 7/19/2026
appzung.com - AI readiness audit | llmsmap.me