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  2. Keyword research - Wikipedia

    en.wikipedia.org/wiki/Keyword_research

    The objective of keyword research is to generate, with good precision and recall, a large number of terms that are highly relevant yet non-obvious to the given input keyword. [1] The process of keyword research involves brainstorming and the use of keyword research tools, with popular ones including Semrush and Google Trends.

  3. Keyword Services Platform - Wikipedia

    en.wikipedia.org/wiki/Keyword_Services_Platform

    The Keyword Services Platform (KSP) is a keyword research tool available through Microsoft adCenter, which contains a set of algorithms for providing information about keywords used in search engine queries.

  4. Semrush - Wikipedia

    en.wikipedia.org/wiki/Semrush

    The keyword research tool provides various data points on each keyword. [7] The platform also collects information about online keywords gathered from Google and Bing search engines. [ 8 ] [ 9 ] It was released by Boston -based company Semrush Inc, founded by Oleg Shchegolev and Dmitri Melnikov.

  5. Runway (company) - Wikipedia

    en.wikipedia.org/wiki/Runway_(company)

    Runway AI, Inc. (also known as Runway and RunwayML) is an American company headquartered in New York City that specializes in generative artificial intelligence research and technologies. [1]

  6. Search engine marketing - Wikipedia

    en.wikipedia.org/wiki/Search_engine_marketing

    Keyword research and analysis involve three "steps": ensuring the site can be indexed in the search engines, finding the most relevant and popular keywords for the site and its products, and using those keywords on the site in a way that will generate and convert traffic. A follow-on effect of keyword analysis and research is the search ...

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    Get AOL Mail for FREE! Manage your email like never before with travel, photo & document views. Personalize your inbox with themes & tabs. You've Got Mail!

  8. Keyword clustering - Wikipedia

    en.wikipedia.org/wiki/Keyword_clustering

    A keyword clustering tool scans the list of keywords and then picks the most popular keyword. The most popular keyword is a keyword with the highest search volume.Then a tool compares the TOP 10 search result listings that showed up for the taken keyword to the TOP10 search results that showed up for another keyword to detect the number of matching URLs.

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