Domain Authority is commonly referred to as Page Authority which is basically a ranking model that is being employed and analysed by Search Engine Optimization companies all over the world. These machine-learning models are oriented towards predicting the prospects or likelihood of a particular web page or a domain being ranked in Google search results. The whole process does not pay heed to the type of content or its volume that is present on the web page. Google basically serves as the ruling authority when it comes to fixing Search Engine Result Pages (SERP) ranking.
There are surfeit of websites on the internet that have immense potential for growth and Google picks out these websites for SERP rankings. This enables users to find the best pages which have a high potential. Henceforth, these pages are highlighted on the first page of Google. Now, let us go deep into the meaning of the term domain authority and throw light on its positive as well as negative aspects.
Importance of Domain Authority
As it has been highlighted in the previous section that the primary function of domain authority is to give an estimated prediction regarding the performance that a website gives in its SERP rankings, thus this happens to be one of the most important target of Search Engine Optimization-oriented companies based on the web. It basically happens to be a calculated metric that calculates the prospects of a particular website or web page to feature google serp checker api in the first page of Google. This is basically a determining factor as per which, websites are ranked according to their earmarked potential.
This can be used and employed by experts of Search Engine Optimization who can get an aesthetic review of the performance of their website along with other websites. Thus in this way, SEO experts compare the performances of various websites in order to get a detailed idea of its strength. Basically, Domain Authority is a part of the web index of Linkscape which happens to be an effective tool oriented towards building links. ‘
Furthermore, it consists of mozTrust, mozRank, counts of links, etc. Domain authority makes use of a learning model of the machine which basically looks for the perfect algorithm that stands in correlation with the rankings out of thousands of other links.
Where can Domain Authority be found?
There are surfeit of online platforms and millions of websites which are trying to be featured on the first page of Google through effective Search Engine Optimization. Out of all of these marketing platforms based online, there are many which are incorporated with the metrics of Domain Authority. Incorporating Domain Authority in Search Engine Optimization goes a long way in determining the strength of the website and the number of backlinks that it generates. One can measure it with the help of MozBar or Open Site Explorer. SEOmoz’s free SEO-oriented toolbar can also be used for the same purpose. Almost all of the PRO Web App campaigns consist of Authority metrics and the same goes for Site Intelligence API.
Calculation process of Domain Authority
There is a 100-point logarithmic scale which is used as a reference in order to calculate Domain Authority score. This particular scale has a range of 1-100 points. Thus, if the Domain Authority score of a particular web page is high, then this points to the fact that the page has a very high potential of garnering a higher rank among other web pages. Thus, this logarithmic scale is widely used for calculation process by Search Engine Optimization companies. The calculation process is basically a compilation of the total number of links, linking root domains, mozTrust, mozRank and all other factors which influence a particular web page or website. All of these are brought into analysis during the calculation process and finally a single score is released on the basis of which, the page is ranked on search engine.
Google’s ranking methodology using Domain Authority
People have always been curious about the methodology that Google employs in order to set the ranking of Search Engine Optimization entities on the web. The machine learning model holds the answer to that as it picks out the right algorithm through which websites and web pages are properly analysed and ranked accordingly. There are a total of 150 signals which are taken into account whilst the calculation process in order to make sure that the output is accurate and justifiable. Furthermore, the model which is employed by Google is basically refined on a daily basis in order to make sure that there are no compromises with any aspects of the process.