Google's search engine uses a complex algorithm to determine the relevance and importance of web pages when a user conducts a search. The algorithm takes into account over 200 factors, known as "signals," to determine the relevance of a webpage.
When a user conducts a search, Google's servers first match the query with billions of previously indexed web pages. Then, the algorithm analyzes and ranks the matched web pages based on various signals, such as the relevance of the content to the user's query, the authority of the website, and the quality of the content.
Here are some of the main signals that Google's algorithm uses to rank web pages:
Relevance: Google looks for web pages that are most relevant to the user's query. This includes analyzing the content of the webpage, as well as the keywords used in the query.
Authority: Google looks for web pages that are written by experts and are considered trustworthy. This is determined by analyzing the number of backlinks pointing to the webpage and the authority of the websites linking to it.
Quality: Google looks for web pages that are well-written and provide a good user experience. This includes analyzing the layout of the webpage, the loading speed, and the presence of broken links.
Freshness: Google gives preference to web pages that are up-to-date and provide the most recent information.
User engagement: Google looks at how users interact with the webpage, such as how long they spend on the page, and if they return to the search results page, after clicking on the result.
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Rahul Gupta