Overall AI readiness score
A combined result across all audit signals.
Overall AI readiness score
A combined result across all audit signals.
Overall AI readiness assessment
Temp Mail PW - AI Discoverable Privacy & Productivity Platform (tempmail.pw) erreichte im automatisierten technischen Audit 39/100 Punkte bei der KI-Bereitschaft. llms.txt war nicht auffindbar, llms-full.txt hatte keine erreichbare Datei und ai.txt war nicht auffindbar. Die robots.txt-Analyse ergab 11 ausdrücklich erlaubte und 0 blockierte KI-Crawler sowie 1 deklarierte Sitemap. Die Vollständigkeit des Homepage-Markups lag bei 0%; es wurden keine Schema.org-Typen erkannt. Erkannte OpenGraph-Tags: 0. Die Ergebnisse entsprechen den öffentlich erreichbaren Antworten der Website zum Prüfzeitpunkt 2026-10-25T08:53:57.055Z.
llms.txt was not available as a readable text file during the latest check. That removes the shortest first-party map of the site for an AI agent. 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 43/100, Accessibility 83/100, Best Practices 96/100, SEO 92/100, and experimental Agentic Browsing 19/100. These signals have a limited weight: they complement rather than replace llms.txt, robots.txt, and structured-data checks.
A mobile Lighthouse measurement. Google’s experimental Agentic Browsing category is explained separately and does not replace the broader llmsmap AI-readiness score.
Performance
Accessibility
Best Practices
Technical SEO
Agentic Browsing
Mobile performance is 43/100, with the largest visible content block appearing in 13.2 s and the browser main thread blocked for 180 ms. Layout shift was 0.219. 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 83/100, Best Practices 96/100, and technical SEO 92/100. The experimental Agentic Browsing category scored 19/100. It measures signals Google currently tests for software agents and is shown separately from the llmsmap AI-readiness score.
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.
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.
Serve correctly sized modern formats, prioritise the primary visual, and lazy-load content below the first viewport.
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.
First content
Main content
Layout stability
Blocking time
Visual speed
Machine-readable files, crawler policy, discovery, and homepage markup.
File not found
Full version was not found
ai.txt file was not found
1 sitemap found
Schema.org markup was not found on the homepage
OpenGraph tags were not found on the homepage
Based on robots.txt analysis
Declared discovery routes for crawlers and agents.
Sites with a close AI-readiness score — compare how they set up llms.txt and markup.