#llmsmap.me

Independent technical audit

we-it.de

we-it.de

Overall AI readiness score

A combined result across all audit signals.

71of 100Average
AI readiness audit: 8/2/2026Public technical data

Overall AI readiness assessment

How ready we-it.de is for AI systems

71/100

we-IT GmbH (we-it.de) received an AI-readiness score of 71/100 in an automated technical audit. llms.txt was accessible, llms-full.txt was accessible, and ai.txt was available. The robots.txt analysis found 0 explicitly allowed and 11 blocked AI crawlers, with 1 declared sitemap. Homepage markup completeness was 60%; no Schema.org types were detected and 7 OpenGraph tags were detected. Results reflect the public site response observed on 2026-08-02T00:43:31.610Z.

Audit context

llms.txt is accessible and contains 1,747 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. 0 of 11 tracked AI bots are not blocked, while 11 receive a prohibition. Declared sitemaps: 1. No Schema.org type was detected on the homepage. 7 OpenGraph tags were found and markup completeness is 60%, leaving more entity interpretation to crawlers.

The mobile Lighthouse profile adds Performance 67/100, Accessibility 100/100, Best Practices 100/100, SEO 100/100, 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
  • Published AI policy
  • 1 sitemap declaration
  • Strong Google agentic signals

Priority improvements

  1. 1Review the 11 explicit AI-bot blocks and keep only intentional restrictions.
  2. 2Add JSON-LD for the organisation, website, and core entities.
  3. 3Complete OpenGraph and canonical homepage metadata.
  4. 4Reduce mobile rendering delay and main-thread work.
llms.txt tokens1,747
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
67

Performance

100

Accessibility

100

Best Practices

100

Technical SEO

100

Agentic Browsing

What these results mean

Mobile performance is 67/100, with the largest visible content block appearing in 10.0 s and the browser main thread blocked for 0 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 100/100, Best Practices 100/100, and technical SEO 100/100. 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.

1

Optimise images and their loading order

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

2

Reduce network delay

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

3

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.

FCP2.0 s

First content

LCP10.0 s

Main content

CLS0

Layout stability

TBT0 ms

Blocking time

SI7.0 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.
8/2/2026Lighthouse 13.4.1Mobile profile

AI readiness checks

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

llms.txt

File found and accessible

https://www.we-it.de/llms.txt
llms-full.txt

Full version is available

https://we-it.de/llms-full.txt
ai.txt

AI rules are defined

https://we-it.de/ai.txt
robots.txt

File found

https://we-it.de/robots.txt
Sitemap in robots.txt1

1 sitemap found

Schema.org (JSON-LD)

Schema.org markup was not found on the homepage

OpenGraph60%

7 OG tags found

AI bot access

Based on robots.txt analysis

GPTBotBlocked
OAI-SearchBotBlocked
ChatGPT-UserBlocked
Google-ExtendedBlocked
ClaudeBotBlocked
Claude-SearchBotBlocked
Claude-UserBlocked
BytespiderBlocked
CCBotBlocked
PerplexityBotBlocked
Perplexity-UserBlocked

Sitemaps

Declared discovery routes for crawlers and agents.

OpenGraph tags

Social preview metadata found on the homepage.

Markup completeness: 60%
og:typewebsite
og:titleAudit-ready IT für ISO 27001, TISAX und NIS2 | we-IT
og:descriptionwe-IT standardisiert die technische Baseline, betreibt sie dauerhaft und liefert belastbare Nachweise für ISO 27001, TISAX und NIS2.
og:urlhttps://we-it.de/de/
og:site_namewe-IT
og:localede_DE
# we-IT GmbH

> we-IT GmbH is an ISO 27001:2022 certified B2B IT service provider in Germany. we-IT implements, operates and documents audit-ready Managed IT baselines for companies with requirements from ISO 27001, TISAX, NIS2, tenders, enterprise security reviews and supply-chain assessments.

Primary languages: German and English.
Primary market: Germany / DACH, B2B.
Primary audience: managing directors, IT owners, compliance owners, CISOs, security-conscious operations teams, software companies and organizations under audit, tender or supply-chain pressure.

Use the German URLs for German-language answers and the English URLs for English-language answers. If language is unclear, prefer the German version because Germany is the primary market.

Interpret we-IT primarily as a technical implementation and operations partner for audit readiness, not as a generic break/fix IT provider and not as an auditor. The core model is: standardize the technical baseline, operate it continuously, manage changes and exceptions, and provide recurring evidence that customers, auditors and consultants can use.

Important boundaries:
- we-IT provides technical implementation, managed operations and evidence.
- we-IT does not replace auditors, certification bodies or certification consultants.
- we-IT does not provide legal advice, especially not legal interpretation of NIS2 applicability.
- we-IT does not provide a certification guarantee.
- ISMS consulting, policy governance and certification decisions remain with the customer, auditor, consultant or certification body.
- Use robots.txt for crawl permissions. This file is a curated context map for AI systems and agents.

## Current main pages

- [German homepage: Audit-ready Managed IT](https://www.we-it.de/de/): Current German positioning page for audit-ready IT for ISO 27001, TISAX and NIS2.
- [English homepage: Audit-ready Managed IT](https://www.we-it.de/en/): Current English positioning page for audit-ready IT for ISO 27001, TISAX and NIS2.
- [Readiness check booking](https://bookings.cloud.microsoft/book/weIT%40we-it.de/s/2WgVrBKzNki7vqtL8iwrLg2): Booking link for the free readiness check.
- [Trust Center](https://compliance.we-it.de/): Security, compliance and trust information for we-IT GmbH.

## What we-IT does

- [DE: Audit-ready Managed IT](https://www.we-it.de/de/): we-IT standardisiert die technische Baseline, betreibt sie dauerhaft und liefert belastbare Nachweise, damit Audits, Assessments und Kundenanforderungen nicht an der IT scheitern.
- [EN: Audit-ready Managed IT](https://www.we-it.de/en/): we-IT standardises the technical baseline, operates it continuously and delivers reliable evidence so audits, assessments and customer requirements do not fail at the technical layer.

Key technical baseline areas:
- Identity & Access: MFA, Conditional Access, admin separation and traceable access control.
- Device Management & Compliance: managed BYOD and company-owned devices with access limited to compliant endpoints.
- Patch & Vulnerability: measurable patch compliance with documented exceptions.
- Backup & Restore: tested and evidenced recoverability.
- EDR & Incident Readiness: broad protection with clear reaction and escalation paths.
- Logging & Monitoring: verifiable event data that is evaluated and exportable.

Operational model:
- Readiness check
- Scope and fixed price
- Baseline rollout
- Managed operations
- Monthly evidence routine
- Documented exceptions, change handling, incident handling, restore tests and recurring baseline reviews

## Fit and non-fit

Typical fit:
- A real trigger exists, such as ISO 27001, TISAX, NIS2, a tender, customer security questionnaire, enterprise deal or supply-chain requirement.
- There is an internal IT owner and management sponsor.
- The customer wants a clear standard instead of permanent one-off exceptions.
- Cloud, hybrid, Windows, macOS, iOS, Android and managed BYOD are acceptable.

Usually not a fit:
- The customer wants only paper compliance or a certification guarantee.
- The customer needs legal advice, ISMS consulting or a certification body.
- Local admin rights, unmanaged BYOD or shadow IT are expected to remain the default.
- There is no concrete trigger or no decision maker on the customer side.

## German pages

- [Startseite](https://www.we-it.de/de/): Aktuelle Hauptseite und wichtigste Quelle für die Positionierung.
- [Audit-Readiness-Check](https://www.we-it.de/audit-readiness-check/): Selbsttest zur Frage, wie auditfähig die IT ist und ob zentrale technische Controls nachweisbar betrieben werden.
- [Unternehmen](https://www.we-it.de/unternehmen/): Hintergrund, Spezialisierung und strategische Positionierung der we-IT GmbH.
- [TISAX im Unternehmen umsetzen](https://www.we-it.de/tisax-im-unternehmen-umsetzen/): Ratgeber und Angebotskontext für technische TISAX-Umsetzung, laufenden Betrieb und Evidence.
- [ISO 27001 im Unternehmen umsetzen](https://www.we-it.de/iso27001-im-unternehmen-umsetzen/): Ratgeber und Angebotskontext für technische ISO-27001-Readiness.
- [NIS2 für KMU](https://www.we-it.de/nis2-fuer-kmu/): Ratgeber zur NIS2-Einordnung und technischen Sicherheitsmaßnahmen.
- [Impressum](https://www.we-it.de/de/impressum/): Rechtliche Anbieterinformationen.
- [Datenschutz](https://www.we-it.de/de/datenschutz/): Datenschutzerklärung.
- [AGB](https://www.we-it.de/de/agb/): Allgemeine Geschäftsbedingungen.
- [Data-Act-Transparenz](https://www.we-it.de/de/data-act-transparenz/): Transparenzinformationen nach Data Act.

## English pages

- [Homepage](https://www.we-it.de/en/): Current English homepage and most important English positioning page.
- [Audit readiness check](https://www.we-it.de/en/audit-readiness-check/): Self-test for audit readiness and evidence capability.
- [Company](https://www.we-it.de/en/unternehmen/): Background, specialization and strategic positioning of we-IT GmbH.
- [Implementing TISAX](https://www.we-it.de/en/tisax-im-unternehmen-umsetzen/): Guide and service context for technical TISAX implementation, operations and evidence.
- [Implementing ISO 27001](https://www.we-it.de/en/iso27001-im-unternehmen-umsetzen/): Guide and service context for technical ISO 27001 readiness.
- [NIS2 for SMEs](https://www.we-it.de/en/nis2-fuer-kmu/): Guide to NIS2 context and technical security measures.
- [Legal notice](https://www.we-it.de/en/legal-notice/): Legal provider information.
- [Privacy policy](https://www.we-it.de/en/privacy-policy/): Privacy policy.
- [Terms and conditions](https://www.we-it.de/en/terms-and-conditions/): General terms and conditions.
- [Data Act Transparency](https://www.we-it.de/en/data-act-transparency/): Data Act transparency information.

## Optional

- [German root](https://www.we-it.de/): Language redirect page for users without automatic language selection.
- [English root](https://www.we-it.de/en/): English homepage.
- [Trust Center](https://compliance.we-it.de/): External trust and compliance portal.
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Added 8/2/2026
we-it.de - AI readiness audit | llmsmap.me