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How to do Keyword Research

Keyword research is a practice search engine optimization (SEO)

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Keyword research is a practice search engine optimization (SEO) professionals use to find and research alternative search terms that people enter into search engines while looking for a similar subject. Search engine optimization professionals research additional keywords, which they use to achieve better rankings in search engines. Once they find a niche keyword, they expand on it to find similar keywords. Keyword suggestion tools usually aid the process, like the Google Ads Keyword Planner, which offers a thesaurus and alternative keyword suggestions or by looking into Google Suggest.


Keyword stuffing is a search engine optimization (SEO) technique, considered webspam or spamdexing, in which keywords are loaded into a web page's meta tags, visible content, or backlink anchor text in an attempt to gain an unfair rank advantage in search engines. Keyword stuffing may lead to a website being banned or penalized on major search engines either temporarily or permanently. The repetition of words in meta tags may explain why many search engines no longer use these tags.


Keyword clustering is a practice search engine optimization (SEO) professionals use to segment target search terms into groups (clusters) relevant to each page of the website. After keyword research, search engine professionals cluster keywords into small groups which they spread across pages of the website to achieve higher rankings in the search engine results (SERP). Keyword clustering is a fully automated process performed by keyword clustering tools.


Google Ads is an online advertising platform developed by Google, where advertisers pay to display brief advertisements, service offerings, product listings, video content, and generate mobile application installs within the Google ad network to web users.


In computing, stop words are words which are filtered out before processing of natural language data (text). Stop words are generally the most common words in a language; there is no single universal list of stop words used by all natural language processing tools, and indeed not all tools even use such a list. Some tools avoid removing stop words to support phrase search.


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