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Search engine optimization (SEO) is the process of improving the quality and quantity of website traffic to a website or a web page from search engines. [ 1 ] [ 2 ] SEO targets unpaid search traffic (usually referred to as " organic " results) rather than direct traffic, referral traffic, social media traffic, or paid traffic .
Search analytics; Search engine manipulation effect; Search engine optimization metrics; Search engine privacy; Search engine results page; Search engine scraping; Search Engine Strategies; Search neutrality; Semrush; SEO contest; Site map; Socialflow; Sprinklr
Social media optimization (SMO) is the use of online platforms to generate income or publicity to increase the awareness of a brand, event, product or service.Types of social media involved include RSS feeds, blogging sites, social bookmarking sites, social news websites, video sharing websites such as YouTube and social networking sites such as Facebook, Instagram, TikTok and X (Twitter).
Local search engine optimization (local SEO) is similar to (national) SEO in that it is also a process affecting the visibility of a website or a web page in a web search engine's unpaid results (known as its SERP, search engine results page) often referred to as "natural", "organic", or "earned" results. [1]
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Google PageRank (Google PR) is one of the methods Google uses to determine a page's relevance or importance. Important pages receive a higher PageRank and are more likely to appear at the top of the search results. Google PageRank (PR) is a measure from 0 - 10. Google PageRank is based on backlinks.
Search optimization may refer to: Local search (optimization), a heuristic method for solving computationally hard optimization problems; Location search optimization (LSO), improving the visibility of a website through location-enabled devices; Search and optimization, searches that begin with some form of a guess and then refine the guess ...
Generating or maintaining a large-scale search engine index represents a significant storage and processing challenge. Many search engines utilize a form of compression to reduce the size of the indices on disk. [20] Consider the following scenario for a full text, Internet search engine. It takes 8 bits (or 1 byte) to store a single character.