Independent technical audit

claudenotes.net

Overall AI readiness score

A combined result across all audit signals.

Excellent

AI readiness audit: 8/11/2026Public technical data

Overall AI readiness assessment

How ready claudenotes.net is for AI systems

82/100

Claude Notes (claudenotes.net) received an AI-readiness score of 82/100 in an automated technical audit. llms.txt was accessible, llms-full.txt was accessible, and ai.txt was not found. The robots.txt analysis found 0 explicitly allowed and 0 blocked AI crawlers, with 1 declared sitemap. Homepage markup completeness was 30%; no Schema.org types were detected and 3 OpenGraph tags were detected. Results reflect the public site response observed on 2026-08-11T00:31:58.127Z.

Audit context

llms.txt is accessible and contains 617 tokens. An expanded llms-full.txt is also available with 617 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. 3 OpenGraph tags were found and markup completeness is 30%, leaving more entity interpretation to crawlers.

The mobile Lighthouse profile adds Performance 98/100, Accessibility 94/100, Best Practices 100/100, SEO 92/100, and experimental Agentic Browsing 100/100. 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
Strong Google agentic signals

Priority improvements

1Add JSON-LD for the organisation, website, and core entities.
2Complete OpenGraph and canonical homepage metadata.

llms.txt tokens617

llms-full.txt tokens617

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

Performance

Accessibility

100

Best Practices

Technical SEO

100

Agentic Browsing

What these results mean

The mobile page renders efficiently; its largest visible content block appeared in 2.3 s.

Accessibility scored 94/100, Best Practices 100/100, and technical SEO 92/100. The experimental Agentic Browsing category scored 100/100. It measures signals Google currently tests for software agents and is shown separately from the llmsmap AI-readiness score.

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.

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.

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.

Clarify search and canonical signals

Verify unique titles and descriptions, crawlability, canonicals, descriptive link text, and language relationships. This reduces ambiguity for search engines and AI systems selecting a page.

FCP1.1 s

First content

LCP2.3 s

Main content

CLS0

Layout stability

TBT0 ms

Blocking time

SI2.2 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.

8/11/2026Lighthouse 13.4.1Mobile profile

AI readiness checks

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

llms.txt

File found and accessible

https://claudenotes.net/llms.txt

llms-full.txt

Full version is available

https://claudenotes.net/llms-full.txt

ai.txt

ai.txt file was not found

robots.txt

File found

https://claudenotes.net/robots.txt

Sitemap in robots.txt1

1 sitemap found

llms.txt in robots.txt

References: Allow: /llms.txt, Allow: /llms-full.txt

Schema.org (JSON-LD)

Schema.org markup was not found on the homepage

OpenGraph30%

3 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.

https://claudenotes.net/sitemap.xml

OpenGraph tags

Social preview metadata found on the homepage.

Markup completeness: 30%

og:titleClaude Code 2.0: Autonomous AI Development in Your Terminal and IDE - Claude Notes

og:descriptionExperience the next generation of AI-powered development. Claude Code 2.0 brings native VS Code integration, checkpoints, subagents, and autonomous task execution powered by Sonnet 4.5.

og:site_nameClaude Notes

# Claude Notes

> Experience the next generation of AI-powered development with Claude Code 2.0. Powered by Sonnet 4.5, featuring subagents, hooks, checkpoints, and background tasks for handling complex development workflows autonomously.

This file provides structured information about the Claude Notes website to help Large Language Models (LLMs) understand its content and purpose.

## Core Features
- ...

## Main Pages
- [Home](https://claudenotes.net/)
- [Blog](https://claudenotes.net/blog/): Updates and articles related to Claude Notes.

## FAQ
- What is Claude Code 2.0?
Claude Code 2.0 is an advanced AI development tool that works in your terminal and IDE, powered by Sonnet 4.5. It features autonomous operation through subagents, hooks, checkpoints, and background tasks for handling complex development workflows.
- What are the key new features in Claude Code 2.0?
Claude Code 2.0 introduces a native VS Code extension, an enhanced terminal interface with searchable history, automatic checkpoints for safe exploration, subagents for parallel workflows, hooks for automated actions, and background tasks for long-running processes.
- How do checkpoints work?
Checkpoints automatically save your code state before each change made by Claude. You can instantly rewind to previous versions by tapping Esc twice or using the /rewind command. When rewinding, you can restore the code, conversation, or both to a prior state.
- What are subagents and how do they help?
Subagents are specialized agents that handle specific tasks in parallel. For example, one subagent can build a backend API while the main agent works on the frontend, enabling efficient parallel development workflows.
- What is the Claude Agent SDK?
The Claude Agent SDK (formerly Claude Code SDK) provides access to the core tools, context management systems, and permissions frameworks that power Claude Code. It allows teams to create custom agentic experiences for specific workflows, including support for subagents and hooks.
- How do I get started with Claude Code 2.0?
Download the VS Code extension from the VS Code Extension Marketplace for IDE integration, or update your terminal installation for the latest features. Sonnet 4.5 is the default model, but you can switch models using the /model command.

## Optional
- [Terms of Service](https://claudenotes.net/terms/): Read our terms of service.
- [Privacy Policy](https://claudenotes.net/privacy/): Read our privacy policy.

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Added 8/11/2026