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Google explains how HCU (Helpful Content Update) works - SEO & Engine News


Google recently published a page explaining how the HCU (Helpful Content Update) algorithm works: content targeted for the penalty, size of the penalty, deadline to take into account the corrections, etc. I’m scheduled…

Google recently published a document (also available in French) explaining how one of its latest algorithms works, called Helpful Content Update, first launched in August 2022 and then a second time last December, this version now takes into account of many countries including France.

In summary, Google explains that the HCU generates a signal that is used by (its) automated ranking systems to ensure that people see original and useful content in search results, written by and for people. The tool then fights against low-quality automated content (currently designed using artificial intelligence systems).

It is important to understand that HCU works (like Panda in its day) at the site level: if certain “irregularities” are found (content that appears to have little value, little added value, or isn’t particularly helpful to people searching), all pages on the site are affected and therefore will be rated less well, regardless of whether their “rating” is good or bad in a granular way. In this sense, removing unnecessary content can improve the rankings of your other content. Of course, Google doesn’t disclose how it calculates the share of low-quality content that triggers the fine, or any percentage. It’s only hinted ata relatively large amount of unnecessary content..

A system based on machine learning and running in real time

Even Google remembers this this classification process is fully automated, thanks to a machine learning model. Works globally in all languages. This is not a manual action or a spam action. Rather, it is one of many signals that Google evaluates to rank content. But we don’t know the weighting. That said, given the results observed in France over the past few days (the latest update of this kind is barely finishing these days), the results seem quite convincing.

Regarding the delay taken into account by the algorithm to stop penalizing sites that offer low-quality content after removing unnecessary content, the engine explains that sites identified by this system can have the signal applied over a period of several months. The classifier works continuously, which allows it to monitor newly launched sites as well as existing ones. If it determines that unnecessary content has not reappeared in the long run, the rating will no longer apply. This therefore means that the removal of the penalty is not immediate after the correction, since we are dealing here with “long-term” and several months, and this although HCU works in real time, like Panda and Penguin a few months after their respective launches. You might also think about it when you implement SEO actions that are a bit too supported…

Useful content update, new Google algorithm. Source: Google

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