Help center audit

DATEV

As of Aug 3, 2026

This report comes from a public crawl of the DATEV help center. It covers 33,370 articles across German. Every number is read from the sitemap and the pages themselves, none of it is estimated.

Open the help center DATEV website

wissensplattform.apps.datev.de

Start page of the DATEV help center, as it looked when the audit ran

Health score

failing

out of 100

Platform

Custom / unknown

Articles total

33,370

Content age map

One tile per article, sorted from freshest to most outdated.

78.1%78.1 percent of the German articles are older than six months

Fresh under 1 month 1,548
Ripe 1 to 3 months 2,343
Turning 3 to 6 months 3,424
Stale 6 to 12 months 5,514
Rotten over 1 year 20,541

Half the library is under 591 days old. The other half stretches back 8,780 days.

One tile stands for 28 articles, so the map for all 33,370 of them fits on screen.

Changes over time

Articles changed per month over the last 24 months. Each bar counts the articles whose last change falls in that month.

18,976 articles changed over the last 24 months. The busiest month was December 2025, with 1,942 articles.

September 2024: 154 articles
October 2024: 448 articles
November 2024: 377 articles
December 2024: 1,358 articles
January 2025: 351 articles
February 2025: 484 articles
March 2025: 568 articles
April 2025: 894 articles
May 2025: 534 articles
June 2025: 511 articles
July 2025: 440 articles
August 2025: 489 articles
September 2025: 587 articles
October 2025: 737 articles
November 2025: 673 articles
December 2025: 1,942 articles
January 2026: 1,035 articles
February 2026: 985 articles
March 2026: 1,567 articles
April 2026: 921 articles
May 2026: 1,113 articles
June 2026: 1,144 articles
July 2026: 1,651 articles
August 2026: 13 articles

Health score

A weighted value across five areas. Anything we could not measure is left out rather than counted as a zero.

FreshnessWeight 3525
StructureWeight 1550
FindabilityWeight 2020
AI readinessWeight 2026
MultilingualWeight 10does not apply

90 of 100 weight points were measurable.

What stands out

Every statement names the number it came from.

Critical

3 findings

78.1 percent of the articles have not changed in over six months, that is 26,055 of them.
20,541 articles have not been touched in over a year, the oldest for 8,780 days.
There is no search field on the help center's front page.

Worth fixing

7 findings

No categories are discernible. Readers can only reach articles through search.
100 percent of the sampled pages have fewer than 150 words.
100 percent of the article URLs carry a number instead of a readable title.
The articles offer no way to give feedback, so there is no signal about which article is not working.
There is no llms.txt, so AI systems get no curated entry point into the documentation.
The articles carry no structured data. Machines see a web page, not an article with an author and a date.
Only 0 percent of the sampled pages show a change date, so readers cannot tell whether a guide still applies.

Good

1 finding

All 9 AI crawlers we checked are allowed to read this help center.

Languages

This help center is published in one language only.

Visibility to AI answers

Whether ChatGPT, Claude and Perplexity are allowed to read and cite this help center at all, and whether they can tell how current an article is.

Crawler access

GPTBotallowed
OAI-SearchBotallowed
ChatGPT-Userallowed
ClaudeBotallowed
PerplexityBotallowed
Google-Extendedallowed
Applebot-Extendedallowed
CCBotallowed
Bytespiderallowed

llms.txt

absent

Structured data

WebSite

Visible change date

on 0 percent of the sampled pages

Findability

Based on a sample of 40 article pages. The values describe that sample, not every single page.

100
Meta descriptions
100 percent
0
Canonical tags
0 percent
0
Exactly one H1
0 percent
–
Images with alt text
not measurable
100
Very short articles
100 percent
0
Feedback control
0 percent
0
Breadcrumbs
0 percent
0
Table of contents
0 percent

Words per article: 2 median
Images per article: 0 median
Search in the help center: missing

The oldest articles

Up to 30 articles, sorted by when they last changed.

/help/document/1050814Jul 19, 2002/8,780 days
/help/document/0907883Feb 28, 2003/8,556 days
/help/document/0907734Nov 30, 2003/8,281 days
/help/document/1033705Dec 4, 2003/8,277 days
/help/document/0907884Apr 30, 2004/8,129 days
/help/document/0907885Apr 30, 2005/7,764 days
/help/document/0907886Apr 30, 2006/7,399 days
/help/document/0907887Feb 28, 2007/7,095 days
/help/document/1034998May 11, 2007/7,023 days
/help/document/1035287May 27, 2008/6,641 days
/help/document/0907737Aug 11, 2009/6,200 days
/help/document/0907888Aug 17, 2009/6,194 days
/help/document/0907280Jun 17, 2010/5,890 days
/help/document/1033960Oct 22, 2012/5,032 days
/help/document/0903725Feb 9, 2014/4,557 days
/help/document/1070797May 6, 2014/4,471 days
/help/document/0907034Jul 21, 2014/4,395 days
/help/document/1080543Sep 11, 2014/4,343 days
/help/document/1080120Jan 16, 2015/4,216 days
/help/document/1043151Feb 6, 2015/4,195 days
/help/document/1022119Mar 16, 2015/4,157 days
/help/document/0903726Apr 15, 2015/4,127 days
/help/document/0907035Jun 18, 2015/4,063 days
/help/document/1046098Jan 18, 2016/3,849 days
/help/document/1022120Jan 25, 2016/3,842 days
/help/document/1045595Feb 10, 2016/3,826 days
/help/document/1046303Feb 10, 2016/3,826 days
/help/document/0907036Mar 13, 2016/3,794 days
/help/document/1044796May 12, 2016/3,734 days
/help/document/1080770May 30, 2016/3,716 days

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A full age map of every article
Translation coverage and lag per language
Discoverability for search engines and AI answer engines

These teams document with HappySupport

How we measure

We read the help center's public sitemap, assign every URL to a language and evaluate the change date it declares. We then fetch a sample of article pages spread across the whole library and read titles, descriptions, structured data and interface controls off them. All of it runs under a clearly identifiable user agent, with pauses between requests.

Limits: change dates come from the underlying system and may have been reset in bulk during a migration. We call those days out separately. Pages that block us are left out of the sample. Nothing in this report says anything about the editorial quality of the articles.

Crawl: Crawled on Aug 3, 2026
Sample: Sample: 40 of 33,370 articles
Source: https://wissensplattform.apps.datev.de/sitemap.xml

This report can be wrong

Everything here is measured automatically from public pages, so a report can misread a help center or miss part of it. If a number does not match what you know about your own help center, write to contact@happysupport.ai and we will check it and correct the report.

DATEV is a trademark of its respective owner. This report was produced independently and is not affiliated with DATEV.