The HubSpot help center, audited

30.2 percent of the articles are older than six months.

236 articles have not been touched in over a year, the oldest for 1,411 days.

100% of sampled articles skip heading levels, which breaks the outline screen readers and answer engines build from the page.

The articles offer no way to give feedback, so there is no signal about which article is not working.

2 of 51 checked links answer with an error. Readers who follow them land on error pages.

7 article links found on the sampled pages point to URLs the sitemap never declares, so crawlers that trust the sitemap will miss them.

52.5% of sampled pages have a title that is missing, very short or long enough that search results cut it off.

100% of the meta descriptions found fall outside the 120 to 160 character band, so search engines pad or truncate them.

robots.txt does not name the sitemap, so crawlers have to guess where it is.

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.

Korean covers only 49.4 percent of the primary language, leaving roughly 1,846 articles untranslated.

The sitemap does not point at the translations, which makes the language versions harder for search engines to connect.