Prepare for a potential Panda-style Google update by tackling scaled AI content and fake authors that could put your entire site's rankings at risk.

Back in March this year, I talked about the possibility of another Florida-style update rollout, and now, as we’re further on in the year, it feels as though another type of update from Google’s past might be ready to manifest. Remember Panda?

From a prediction model I built, it is suggesting that an update in the next month is a 96.8% possibility in the next 30 days.

Panda rolled out in February 2011 and was a site-level quality classifier. Google trained it on human judgments of pages and sites, asking simple questions such as: would you trust this, would you give it a credit card, is it written by someone who knows the subject, is it original, does it exist to help a reader or to guess what might rank.

Amit Singhal and Matt Cutts described it that way in the weeks after launch.

The public guidance that followed was a list of questions about trust, redundancy, and whether a page added anything the results did not already have. None of it specified a word count, a link ratio, or a template for “quality.”

It was easier to jump to these kinds of conclusions, as what the industry saw was the wreckage.

Content farms and thin affiliate sites had been a working model, and they lost visibility, often across the whole domain rather than on a single page.

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