RankBrain is a permanently self-learning system (AI), which should interpret the expressed search query for Google more accurately than older systems. Interaction data of the searchers are also taken into account. In addition, there is a focus on specific factors, which then have a greater influence on the ranking in the overall context.
Domain-specific ranking factors
The reciprocal interaction with other evaluation mechanisms results in a complex ranking system that cannot be traced back to isolatable factors. Each domain thus seems to be evaluated according to individual standards.
With RankAnalyst Lab and its analysis options, we get transparency for the first time through visual context tracking that can visualize the “understanding” Google generates from a specific domain. In this way, it is possible to determine the factors that genuinely influence the ranking of your website. This brings us one step closer to the dream of reverse engineering.