Analytics, comment counting among ways to measure website popularity

One of the more important methods of optimizing websites' contents in the eyes of search engines is using tools that provide analytics data about how many hits a given page or feature on a website is regularly receiving from its audience. Google Analytics is a universally known tool that lets the user gather data on his or her own website; many SEO utilities are used in this manner to measure the success that the current SEO campaign for one's own site is bringing to it. Another significant source of information relating to how a website should optimize its content happens to be that website's official competitors in its industry. Of course, any website will have exclusive access to all sorts of private data that can only be parsed and documented by utilities the owner uses on their own site, which means that its competitors will not have access to anywhere near as much SEO-related data on it. Nonetheless, various tools offer functions that allow users to interpret data that competitors' domains cannot help but leave available to the public. For example, if a website's individual pages include comment sections, a competing website's owner can decide that the total number of comments a given page has amassed is a viable reflection of how popular that page is in comparison to the other pages. In this case, it would obviously take far too much effort for either the owner or a company employee to manually count every comment on every page of the rival website in order to see which ones have the most comments. This comment-counting functionality may be part of the suites of features included with SEO utilities like the free SiteProfiler, which does not even require users to sign up to use its service. However, it is arguably better to use SiteProfiler to scan the Internet to determine how many external domains refer to each given page on the rival website and how often each page is shared on Facebook. This is understandable because search engines themselves use this data when assigning search ranks to websites. For more information click here https://www.reddit.com/r/SEO/comments/ak9dcr/seotoolforrankingasitesmostpopulararticles/.