Beyond looking at keywords, our systems also analyse if content is relevant to a query in other ways. We also use aggregated and anonymised interaction data to assess whether Search results are relevant to queries. We transform that data into signals that help our machine-learned systems better estimate relevance.

Rankings in SEO refers to a website's position in the search engine results page. There are various ranking factors that influence whether a website appears higher on the SERP based on the content relevance to the search term , or the quality of backlinks pointing to the page.

to rank search listings, the algorithm tries to understand the overall value of a webpage. it does this by using feedback from a process that may contain signals, such as links from prominent websites.

PageRank works by counting the number and quality of links to a page to determine a rough estimate of how important the website is. The underlying assumption is that more important websites are likely to receive more links from other websites.