Google Panda
Google Panda was a 2011 Google system that pushed thin, low-quality pages down in search results. It's been part of Google's core ranking since 2015.
Google Panda was a system Google announced in 2011 to make sure high-quality, original content showed up in its results, and thin, low-value pages didn't. Google says it became part of its core ranking systems in 2015, so there's no separate Panda to worry about today.
It still matters as history. Panda was the first time many marketers saw a whole site lose its traffic because of the quality of its pages.
What it went after
The sites hit hardest were content farms: sites that published huge numbers of short, shallow articles written to match searches, with little real knowledge behind them. Sites with lots of near-duplicate pages suffered too.
After the launch, Google published a list of questions to judge quality by. Would you trust the information in this article? Was it written by an expert? Does it offer something original? Would you bookmark it or share it? Google's current advice on helpful content still asks questions much like them.
Panda's lesson for AI answers
The same lesson applies when an AI platform picks what to quote. A platform that searches the web reads several pages and builds its answer from the ones that say something specific and useful. A page that repeats what ten other pages say gives it nothing new.
For example, Fernhill Coffee could publish 50 short posts called "best coffee for X," each with the same three tips. Or it could publish one guide that compares its blends by roast, acidity and brew method, with tasting notes from its roasters. The second is the kind of page an answer can quote.