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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]
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 .
In web search engines, organic search results are the query results which are calculated strictly algorithmically, and not affected by advertiser payments. They are distinguished from various kinds of sponsored results, whether they are explicit pay per click advertisements, shopping results, or other results where the search engine is paid either for showing the result, or for clicks on the ...
Search marketing is the process of acquiring traffic or customers via search engines such as Google, Bing, Yahoo and others. Search marketing generally involves two disciplines: SEO ( search engine optimization ) and SEM ( search engine marketing ).
Location search optimization (LSO) [1] is the process of improving the visibility of a website or a webpage by reaching more readers through location-enabled devices. The LSO is a new step in a line of web optimization methods, which began with search engine optimization (SEO) to boost search rankings, and social media optimization (SMO) to make content more sharable.
Domain Authority (DA), a website metric developed by Moz, is a predictive metric to determine a website's traffic and organic search engine rankings. Domain Authority is based on different link metrics, such as number of linking root domains, number of total backlinks, and the distance of backlinks from the home page of websites.
Search analytics is the use of search data to investigate particular interactions among Web searchers, the search engine, or the content during searching episodes. [1] The resulting analysis and aggregation of search engine statistics can be used in search engine marketing (SEM) and search engine optimization (SEO).
Yahoo!, for example, separates its local search engine features into Yahoo! Local and Yahoo! Maps, the former being focused on business data and correlating it with web data, the latter focused primarily on the map features (e.g. directions, larger map, navigation). Local search, like ordinary search, can be applied in two ways.