Process (temporarily) and go directly to search results. Minor items, such as an update to a page's title or meta description tag, or an article published for an already "verified" website, would be candidates for this new process. Sounds good, right? As it turned out, this created a huge barrier to correlating what you changed on your website with how that change affected your rankings. The posting of updates to its search results — and the eventual extensive algorithmic scoring process that followed — essentially led many SEOs to believe that certain optimizations had worked, when in fact they hadn't. summer.
google old index vs caffeine updates Source: Official Google Blog It was a precursor to the future Google, which would no longer work in a serialized fashion. Google's blog clearly defined the new caffeine paradigm: "[E]very second, caffeine processes hundreds of thousands of pages in parallel." From an obfuscation perspective, caffeine provided broad jewelry retouching service coverage for key Google ranking signals. Only a meticulous SEO team, who carefully isolated each update, could now decipher which optimizations were responsible for specific ranking changes in this new parallel algorithm environment.
When I reached out for comment, Marcus Tober, Founder and CTO of Searchmetrics, said, “Google now looks at hundreds of ranking factors. RankBrain uses machine learning to combine many factors into one, which means the factors are weighted differently for each query. This means that it is very likely that even the engineers at Google do not know the exact composition of their very complex algorithm. » “With deep learning, it develops independently of human intervention.