Can we machine-learn Google's machine-learning algorithm? "In late 2015, Google released machine learning within its search engine, which continued to decouple ranking changes from its standard ways of doing things in the past." "The core algorithms within Google now operate independently based on what is being searched for. This means that what works for one keyword might not work for another. This splitting of Google's search rankings has since caused a tremendous amount of grief within the industry as conventional tools, which prescribe optimizations indiscriminately across millions of keywords, could no longer operate on this macro level. Now, searcher intent literally determines which algorithms and ranking factors are more important than others in that specific environment."

"Our generic search engine model can train itself to output very similar results to the real thing. We then use these predictive models as a sort of 'Google Sandbox' to quickly A/B test various changes to a website, instantly projecting new rankings for the brand's target search engine."
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