Brevo
Zendesk Guide/CRM
- articles
- 4,149
- over six months old
- 1.6%
- languages
- 6
As of Aug 2, 2026
Read the reportAs of Aug 2, 2026
This report comes from a public crawl of the Airtable help center. It covers 476 articles across English. Every number is read from the sitemap and the pages themselves, none of it is estimated.

Health score
weak
out of 100
Platform
Document360
Articles total
476
Categories
0
Languages
1
Domain
support.airtable.com
Own domain
Sitemap
477 entries
One tile per article, sorted from freshest to most outdated.
54.6%54.6 percent of the English articles are older than six months
Half the library is under 247 days old. The other half stretches back 1,501 days.
Articles changed per month over the last 24 months. Each bar counts the articles whose last change falls in that month.
401 articles changed over the last 24 months. The busiest month was July 2026, with 90 articles.
A weighted value across five areas. Anything we could not measure is left out rather than counted as a zero.
90 of 100 weight points were measurable.
Every statement names the number it came from.
3 findings
54.6 percent of the articles have not changed in over six months, that is 260 of them.
152 articles have not been touched in over a year, the oldest for 1,501 days.
There is no search field on the help center's front page.
5 findings
No categories are discernible. Readers can only reach articles through search.
37 percent of the images have no alt text, which makes them invisible to screen readers and to image search.
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.
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
absent
Structured data
none found
Visible change date
on 0 percent of the sampled pages
Based on a sample of 23 article pages. The values describe that sample, not every single page.
Up to 30 articles, sorted by when they last changed.
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.
Airtable is a trademark of its respective owner. This report was produced independently and is not affiliated with Airtable.
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