Collect and analyze the results: articles from quick answers are 3-10 times more popular than others
Posted: Sat Apr 19, 2025 7:14 am
The first results from SEO promotion appear after three months. During this time, articles are posted on the site, search engines evaluate them according to their algorithms, and after a while, each gets its position in the search results.
Three months after starting the blog, we noticed that some pages started getting into quick answers. They became more popular than others: on average, the frequency of visits was from 3 to 10 times higher - depending on the overall popularity of the query. And a month later, these pages were in the first position of Google search results.
4. Clarify the plan: work with quick responses in a targeted manner.
To get into quick answers with other articles, we figured out which queries the site linkedin data could get into them for. The queries were selected in two stages. First, we collected queries that Google gives quick answers to: with a short and precise answer, for example, "what is" or "how much". And then we took those for which our site is already in the search engine's top 10 - they are easier to optimize. So we selected 57 queries - among them there were many terms and clarifying questions on the procedure.
Based on these requests, we rewrote and supplemented the blog articles to meet the criteria for quick answers:
structured them with subheadings, lists, bullets;
used key phrases from queries;
The most important information has been collected into small paragraphs.
Three months after starting the blog, we noticed that some pages started getting into quick answers. They became more popular than others: on average, the frequency of visits was from 3 to 10 times higher - depending on the overall popularity of the query. And a month later, these pages were in the first position of Google search results.
4. Clarify the plan: work with quick responses in a targeted manner.
To get into quick answers with other articles, we figured out which queries the site linkedin data could get into them for. The queries were selected in two stages. First, we collected queries that Google gives quick answers to: with a short and precise answer, for example, "what is" or "how much". And then we took those for which our site is already in the search engine's top 10 - they are easier to optimize. So we selected 57 queries - among them there were many terms and clarifying questions on the procedure.
Based on these requests, we rewrote and supplemented the blog articles to meet the criteria for quick answers:
structured them with subheadings, lists, bullets;
used key phrases from queries;
The most important information has been collected into small paragraphs.