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Page Authority Checker

Welcome to Fiverrpromotion’s Page Authority Checker Tool 

Page Authority (PA) is a metric developed by Moz, a company that provides SEO tools and resources. It is a score that predicts how well a specific page will rank on search engine result pages (SERPs). The score ranges from one to 100, with higher scores indicating a higher likelihood of ranking well. The score is calculated based on factors such as the number and quality of backlinks pointing to the page, the relevance of the page’s content to its target keywords, and the overall authority and trustworthiness of the website.

How can we increase the page authority? 

There are several ways to increase page authority, including:

  • Building high-quality backlinks from reputable websites.
  • Creating valuable and informative content that is likely to be shared and linked to.
  • Optimizing your website for search engines by using relevant keywords and meta tags.
  • Increasing the number of social shares and engagement on your website.
  • Building a strong internal linking structure within your website.
  • Regularly publishing new content to your website.
  • Having a responsive, user-friendly website design that is easy to navigate and has fast loading times.
  • Improve your website’s user experience.
  • Make sure your website is mobile-friendly.

It’s important to note that increasing page authority takes time and effort, and cannot be accomplished overnight. It requires a long-term commitment to building your website’s reputation and authority.

What are average page authority score?

The average page score of page authority can vary depending on the specific data set being used. However, in general, a score of 40 or higher is considered to be good, while a score of 70 or higher is considered to be excellent. It’s important to note that Page Authority (PA) is a metric developed by Moz that predicts how well a specific page will rank on search engine result pages (SERPs). The score ranges from 0-100. It’s based on a machine learning model that takes into account various factors such as the number and quality of links pointing to the page.

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