Google's ranking systems use a series of algorithms to show the most relevant search results for each query. Ranking systems consider:
Adapted from: "How Search Algorithms Work," Google (2021)
This is referred to as "search intent". Google uses natural language processing (AI) to interpret the intent behind all searches. Types of search intent include:
Google uses algorithms to find content that’s relevant to the search. In order for Google to show content, it has to be INDEXED (more on this later).
Google uses PageRank and manual systems to find content with Expertise, Authoritativeness, and Trustworthiness (E-A-T). E-A-T is a good way to qualitatively analyze content, but it is not a part of Google's ranking systems. E-A-T is a set of standards that Google's content quality raters use to manually review sources.
Google uses JavaScript rendering and field data (from Google Chrome) to find webpages with good user experience (UX). Positive signals it looks for include:
Using known information about the person behind the search, Google tries to provide relevant results by considering:
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