You’ve probably heard of the On-Page SEO,these important criteria that need to be optimized if you want a chance to reach the first page of search results from engines like Google,Bing or Qwant.
The On-Page represents the optimizations you can make on your own pages, unlike the Off-page that corresponds to factors external to your site and your pages.
To optimize these factors, many people follow recommendations commonly found in books on SEO or online communities where experts answer the most novice questions.
SEO is something quite abstract and even if some people consider themselves to be experts, it does not mean that you have to follow their words with your eyes closed.
Google’s algorithm is complex and has never been revealed.
One of the best current solutions to understand it is to look for the points of correlation between the pages that appear in the best results, this allows to discover what Google likes through data analysis and back-engineering.
Retro-engineering to break through Google’s algorithm
Google has never revealed how its algorithm works. And so much the better, since it could leave a door wide open to all spammers.
Nevertheless, the job of natural referencing specialists is to find a way to understand what Google likes or not, in order tooptimize the on-page of sites so that they appeal to search engines.
Testing, retro-engineering and raw data analysis is needed to understand what criteria Google likes or don’t like.
Especially since Google has evolved enormously in recent years and its search results are not as simple as before to understand.
It must be understood that today, Google aims to respond most precisely to the search intentions of users,which is why it has become necessary to find the points of correlation between sites that already appear in the best results of Google for each targeted query. It has become impossible to make generalities because Google works differently for each query.
The points of correlation between the best search results
To understand their queries and related search intentions, big data analysis and the search for correlation points has become paramount. Very complicated to carry out on its own and in a totally manual way, there are now tools that allow an in-depth analysis of the results of the requests concerned.
This is especially the case of thedata-driven surfer seo tool which you can find a complete opinion by clicking on the link.
When you ask the tool for an analysis of a query, it will do a complete analysis of more than 500 different factors out of the first 50 Google search results related to the query, in order to get usable results.
By following the recommendations of the tool, you can improve your pages to meet google’s desires and of course better respond to users’ search intentions.
The search and analysis of correlation points allows us to make SEO based on real tests and analyses rather than on “They say”and myths that may have been true 5 years ago but that no longer correspond to the reality of Google today.
Google is a search engine that evolves day by day to better understand users, to better meet their expectations in order to meet their demands without creating frustration.
To conclude this article, it is important to remember that natural referencing is evolving and that regular analysis is needed to understand what search engine expectations are. And for that, there is no more effective thanbig data analysis and finding correlation points.