Search engines determine the relevance of a page by analyzing factors such as the page’s content, keywords, structure, and user engagement signals. They also consider the page’s backlinks and the overall authority and trustworthiness of the website.
Backlinks play a crucial role in search engine ranking, as they act as a vote of confidence for a web page. Search engines view high-quality, relevant backlinks from authoritative websites as an indication that a page is valuable and trustworthy, which can positively impact its search rankings.
A search engine’s crawl budget determines how many pages on a website it will crawl and index within a given timeframe. Optimizing your crawl budget by minimizing low-quality or duplicate content and improving site structure can help ensure that your most important pages are crawled and indexed efficiently, positively impacting your SEO performance.
Search engines personalize search results based on factors such as a user’s location, language preferences, and search history. By analyzing this information, search engines can provide more relevant and tailored results that better match the user’s needs and interests.
RankBrain is a machine learning component of Google’s search algorithm that helps interpret and understand user search queries, particularly for rare or ambiguous phrases. By better matching search queries with relevant results, RankBrain improves the overall quality of search results and rewards websites that provide high-quality, relevant content.