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Artificial Intelligence Changes The Handling Of Websites And SEO Tasks

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The role and tasks of SEOs change while using tools that are supported by new technologies for the management of companies’ electronic sites. 

The incorporation of tools that use sophisticated algorithms or that are based on new technologies such as artificial intelligence and machine learning changes the management of electronic sites, a task known as search engine optimization or, for its acronym, SEO.

For example, SEO discussions based on browsing data and its “good judgment” to determine what is published and how to improve it, so that the site appears in the first places when customers search for information of a different nature in Yahoo, Bing, or Google.

Now, it is possible to calculate how a content publication strategy would work on the website. In addition, you could determine which pages give the best response to customer searches.

SEO manager can focus on improving the website, to receive more visits, and attract more income online.

SEO Digital Marketing Agency must understand the quality criteria of the industry which includes measurement, data schemas, user experience, and ability to develop optimization tests”, said Shahid Maqbool, digital analyst at digital marketing.

In addition to the new tools, there is also the possibility of taking advantage of web mining for a more in-depth analysis of customer browsing.

SEO tasks are usually carried out by internal managers or contracted to external firms.

To support the task of content improvement, SEO can have a variety of services on the Internet itself, whose operation is supported by new technologies.

For example, to determine which web pages give the best response to user searches, Google’s Rank Brain, based on machine learning, can be used. This tool observes user behavior, detects if the search was successful, and learns. With that, it is possible to improve the search result the next time.

This same tool based on that information helps SEO to define the content and keywords that the website should carry.

In a complementary way, Moz.com or Link-assistant.com can be used, which would help to “understand” the results provided by machine or machine learning systems such as Rank Brain.

IBM’s Bluemix platform also allows you to develop applications that use artificial intelligence and understanding of (spoken) language.

If you want to evaluate and understand the structure of the sites as well as identify the sentiment of the comments received on social networks.

And also blogs, you can turn to Monkey Learn, a platform to create learning applications that can be applied to the content that is published on the company site.

Also, Schema.org helps to evaluate the content and make it readable for machine learning tools.

With Google itself, Cloud Machine Learning is available to create applications based on machine learning, although according to Fervoy in the cloud, there are other platforms that fulfill these functions.

And Search Console allows you to detect errors that can be penalized by Google and that would cause the website not to be well located in the search results of the clients.

The traditional Google Trends tools (to learn what the market is looking for and identify the context of searches) and Google Analytics which allow us to understand how the search engine qualifies for electronic pages are not left out.

To the extent that new technologies (such as artificial intelligence and machine learning) are part of the brain of search engines, these tools try to identify and measure the quality factors that are being used.

With its results, SEO will be able to define with more precision the creation of content, (texts, images, videos, and blogs, among others) to later share them on social networks and achieve the objectives of the company.

Less Invasion

At the same time, Internet search engines – especially Google – are introducing changes to be taken into account in the domain of content optimization mind map online .

Several of these transformations have to do with updates and modifications to search engine and filtering algorithms.

Google works to provide search results with “higher quality” pages. With this, it is proposed to combat portals that try to deceive the user, avoid unwanted content ( spam ), and improve the user experience.

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The firm recently issued a set of internal guidelines for evaluating the quality of search results, in a 160-page document.

Thus, websites with “many errors” in grammar and punctuation or with content that is insulting or offensive from the point of view of users, in their respective regions will be classified as “low quality”.

Those web pages will always appear in users’ search results but will be relegated by other “higher quality” sites.

It is also necessary to better understand customers, segment them, enrich the information, predict behaviors, (adoption, abandonment, and recommendation of products) and have a 360 ° view of customers.

Companies should offer quality information through good content marketing while detecting the newest trends and changing preferences of their users.

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