Notion
Notion/Collaboration
- articles
- 2,141
- over six months old
- 1.5%
- languages
- 6
As of Aug 2, 2026
Read the reportAs of Aug 2, 2026
We audited the Pipedrive help center with a public crawl. This report covers 12,387 articles across German, Italian, Russian, Portuguese, Turkish, and Polish. Every number is read from the sitemap and the pages themselves, none of it is estimated.

Health score
fair
out of 100
Platform
ReadMe
Articles total
12,387
Categories
35
Languages
22
Primary language: German
Domain
support.pipedrive.com
Own domain
Sitemap
12,798 entries
Sitemap index
A CRM like Pipedrive sits at the center of its customers' revenue workflows, and every release touches screens that sales teams live in daily. Documentation that trails the product turns each of those releases into support tickets.
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
absent
Structured data
none found
Visible change date
on 0 percent of the sampled pages
A weighted value across five areas. Anything we could not measure is left out rather than counted as a zero.
65 of 100 weight points were measurable.
Every statement names the number it came from.
1 finding
On Mar 7, 2024, 100 percent of all articles carry the same change date. Timestamps like that come from a deploy, not from real edits, so the age of this content cannot be measured from the outside.
5 findings
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.
Hungarian covers only 69 percent of the primary language, leaving roughly 174 articles untranslated.
The sitemap does not point at the translations, which makes the language versions harder for search engines to connect.
1 finding
All 9 AI crawlers we checked are allowed to read this help center.
Observations specific to this help center, pulled straight from the crawl data.
Broad language set
The help center publishes in 22 languages, more than most libraries in this directory attempt.
Uneven translations
Coverage differs sharply by language: Italian reaches 99.6 percent of the primary library, while Thai sits at 69 percent.
One tile per article, sorted from freshest to most outdated.
The sitemap gives 100 percent of the articles the same change date, Mar 7, 2024. That is a deploy timestamp rather than an edit history, so the age of this content cannot be determined from the outside.
Without change dates there is no timeline to draw.
Coverage relative to the primary language. Lag measures how many days a translation trails its source.
| Language | Articles | Coverage | Lag |
|---|---|---|---|
| GermanPrimary | 561 | 100% | no data |
| Italian | 559 | 99.6% | no data |
| Russian | 557 | 99.3% | no data |
| Portuguese | 555 | 98.9% | no data |
| Turkish | 555 | 98.9% | no data |
| Polish | 555 | 98.9% | no data |
| Dutch | 555 | 98.9% | no data |
| Korean | 553 | 98.6% | no data |
| Czech | 553 | 98.6% | no data |
| Latvian | 553 | 98.6% | no data |
| Spanish | 553 | 98.6% | no data |
| Finnish | 553 | 98.6% | no data |
| Norwegian Bokmål | 553 | 98.6% | no data |
| Swedish | 552 | 98.4% | no data |
| Ukrainian | 552 | 98.4% | no data |
| Indonesian | 552 | 98.4% | no data |
| Estonian | 551 | 98.2% | no data |
| Japanese | 551 | 98.2% | no data |
| French | 548 | 97.7% | no data |
| English | 538 | 95.9% | no data |
| Hungarian | 387 | 69% | no data |
| Thai | 387 | 69% | no data |
Based on a sample of 36 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.
Pipedrive is a trademark of its respective owner. This report was produced independently and is not affiliated with Pipedrive.
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