DATEV
Custom / unknown/Other
- articles
- 33,370
- over six months old
- 78.1%
As of Aug 3, 2026
Read the reportAs of Aug 3, 2026
This report comes from a public crawl of the PayPal help center. It covers 512 articles across German. Every number is read from the sitemap and the pages themselves, none of it is estimated.

Health score
failing
out of 100
Platform
Custom / unknown
Articles total
512
Categories
7
Languages
1
Primary language: German
Domain
www.paypal.com
Own domain
Sitemap
36,211 entries
Sitemap index
One tile per article, sorted from freshest to most outdated.
This help center publishes no change dates in its sitemap, so the age of its articles cannot be measured from the outside.
Without change dates there is no timeline to draw.
A weighted value across five areas. Anything we could not measure is left out rather than counted as a zero.
55 of 100 weight points were measurable.
Every statement names the number it came from.
3 findings
The sitemap carries no change dates. Neither we nor a search engine can tell how current the content is.
There is no search field on the help center's front page.
40 of the 40 sampled pages are set to noindex and never appear in search.
5 findings
Each of the 7 categories holds 73.1 articles on average, which is more than a reader can scan.
100 percent of the sampled pages have fewer than 150 words.
The articles offer no way to give feedback, so there is no signal about which article is not working.
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.
1 finding
All 9 AI crawlers we checked are allowed to read this help center.
This help center is published in one language only.
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
llms.txt
present
Structured data
none found
Visible change date
on 0 percent of the sampled pages
Based on a sample of 40 article pages. The values describe that sample, not every single page.
Drop in the URL, we crawl it and send the full report by email. Usually within two working days. Whether it gets published is your call.
These teams document with HappySupport
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.
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.
PayPal is a trademark of its respective owner. This report was produced independently and is not affiliated with PayPal.
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