#llmsmap.me

Independent technical audit

altostrat.io

altostrat.io

Overall AI readiness score

A combined result across all audit signals.

72of 100Average
AI readiness audit: 7/21/2026Public technical data

Overall AI readiness assessment

How ready altostrat.io is for AI systems

72/100

Altostrat Studio was independently audited by llmsmap. altostrat.io currently scores 72/100 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 616 tokens. An expanded llms-full.txt is also available with 2,823 tokens, giving agents more direct context. No separate ai.txt policy was detected; it is optional, but can clarify training, retrieval, and attribution preferences.

robots.txt is available. 11 of 11 tracked AI bots are not blocked. Declared sitemaps: 1. No Schema.org type was detected on the homepage. 0 OpenGraph tags were found and markup completeness is 0%, leaving more entity interpretation to crawlers.

The mobile Lighthouse profile adds Performance 76/100, Accessibility 88/100, 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
  • 1 sitemap declaration

Priority improvements

  1. 1Add JSON-LD for the organisation, website, and core entities.
  2. 2Complete OpenGraph and canonical homepage metadata.
  3. 3Reduce mobile rendering delay and main-thread work.
  4. 4Clarify semantics, labels, and interactive states.
llms.txt tokens616
llms-full.txt tokens2,823
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
76

Performance

88

Accessibility

100

Best Practices

100

Technical SEO

67

Agentic Browsing

What these results mean

Mobile performance is 76/100, with the largest visible content block appearing in 4.8 s and the browser main thread blocked for 70 ms. Layout shift was 0. The main thread is where the browser runs JavaScript, calculates layout, and paints the page; long work there delays both user input and browser-agent actions.

Accessibility scored 88/100, 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

Reduce code that loads without helping the page

Remove unused CSS and JavaScript, load heavy widgets on demand, and limit third-party scripts. Less code means less parsing and background work on the device.

3

Optimise images and their loading order

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

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.

FCP2.1 s

First content

LCP4.8 s

Main content

CLS0

Layout stability

TBT70 ms

Blocking time

SI5.2 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://altostrat.io/llms.txt
llms-full.txt

Full version is available

https://altostrat.io/llms-full.txt
ai.txt

ai.txt file was not found

Sitemap in robots.txt1

1 sitemap found

Schema.org (JSON-LD)

Schema.org markup was not found on the homepage

OpenGraph

OpenGraph tags were not found on the homepage

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.

# Altostrat Studio

> The network operations system for teams and agents: terminal, network brain, and AI pair engineer in one desktop app for macOS and Windows. Built for Managed Service Providers and NetOps teams.

Altostrat Studio combines a multi-protocol terminal (SSH, Telnet, Serial, RDP), an AI copilot grounded in your own topology and configs, an encrypted credential vault, real-time collaborative sessions, browser-based device management, and chat-to-workflow automation. Configs never leave your tenant. The copilot is read-only by default and writes require explicit per-session approval.

## Product

- [Altostrat Studio homepage](https://altostrat.io/): Category claim, hero, feature deep-dive, testimonials, FAQ, download
- [Product docs — Welcome](https://altostrat.io/docs/studio/en/welcome): Official documentation entry point
- [Use cases overview](https://altostrat.io/docs/studio/en/use-cases/overview): What Studio is used for day-to-day
- [Partner Program](https://altostrat.io/partner-program/): Referral and partner-billed managed-customer program for Studio partners
- [Brand guidelines](https://altostrat.io/brand/): Logos, typography, color, usage rules
- [Contact](https://altostrat.io/contact/): Talk to the team, MSP rollouts, security questions, founder email

## Downloads

- [macOS (Apple Silicon)](https://download.altostrat.io/studio/altostrat-studio-apple-arm64-latest.dmg): Free download, .dmg installer
- [Windows (x64)](https://download.altostrat.io/studio/altostrat-studio-windows-x64-latest.exe): Free download, .exe installer

## Detailed positioning

- [Long-form positioning doc for LLMs](https://altostrat.io/llms.md): Who it's for, what's shipped today, what's next, lineage, contact
- [Full content dump for deep-crawl LLMs](https://altostrat.io/llms-full.txt): Consolidated page content (hero, features, FAQ, contact, brand, legal, downloads) in a single plain-text file

## Optional

- [LinkedIn](https://linkedin.com/company/altostrat): Company updates
- [YouTube](https://youtube.com/@altostrat-networks): Product videos and walkthroughs
- [Facebook](https://facebook.com/altostrat.networks): Company page
- [GitHub](https://github.com/altostrat): Public repositories
- [Trust center](https://trust.altostrat.io/): Security and compliance posture, certifications, and documents
- [Privacy policy](https://altostrat.io/legal/privacy-policy/)
- [Terms of service](https://altostrat.io/legal/terms-of-service/)
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Added 7/19/2026
altostrat.io - AI readiness audit | llmsmap.me