What explicit and underlying latent questions and needs Tunisia Phone Number does the searcher have? How do I know if I like whiskey? What is good whiskey. Which whiskey is soft? I don’t understand whiskey jargon so I want to understand what I read I don’t want to spend too Tunisia Phone Number much money Where do I start. Which content formats are best suited to answer the questions. Text, images and products Below are the top 18 current article rankings without sitelink rankings, 4 years later. Google SERP search result for the query “whiskey for beginners”. Keywords that rank in the top 4 for the “whisky for beginners” page.
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What stands out about this list and the content of the article? Initially Tunisia Phone Number the main keyword. ‘Whisky for beginners’ is called 0x. Is this bad? Nee. At the time, I sometimes forgot to put keywords in the text. Instead, I dealt with the above Tunisia Phone Number questions. There are also several themes or topics in the article: Whiskey for beginners / best whiskey for beginners Learn to drink whiskey Whiskysmaken soft whiskey sweet whiskey nice whiskey Combination of soft tasty. Sweet whiskey What makes the article rank in the top 3 on all these terms? In large part , because the user’s semantic relationship. And search intent are about the same across all terms. In addition, the overarching theme is “whiskey for beginners”.
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A beginner will look for specific things that an experienced Tunisia Phone Number whiskey drinker simply won’t look for. A novice whiskey drinker looks for sweet or soft whisky, because those are the entry-level whiskeys. The predominantly easy-to-drink whiskeys. You only learn to drink whiskey as a beginner. And the underlying information needs are that you want to know how to get started and which whiskeys. “Whiskey flavours” and “good whiskey” are typical searches for Tunisia Phone Number someone who knows little or nothing about whiskey. Google Search was therefore already able to determine the semantic relationship between these searches via the self-learning algorithm in 2017 with the help of RankBrain, among others.