SEO in the Age of AI

ClearSEO is your go-to team. SEO stands for search engine optimization. It's the practice of increasing both the quality and quantity of the website traffic, as well as exposure to your brand,through non-paid search engine results. It is part of the broader topic of Search Engine Marketing. It is a technique for designing and developing a website to rank well in search engine results.

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Improving the volume and quality of traffic to a website from search engines. Marketing by understanding how search algorithms work, and what human visitors might search for. It is a subset of search engine marketing. And also referred to as SEO copywriting because most of the techniques that are used to promote sites in search engines deal with text. If you plan to do some basic SEO, it is essential that you understand how search engines work.

It performs several activities in order to deliver results.

Crawling- process of fetching all the web pages linked to a website. This task is performed by software called a crawler or a spider. Indexing- the process of creating an index for all the fetched web pages and keeping them into a giant database from where they can later be retrieved.Processing- when a search engine comes, the search engine processes mean it compares the search string in the search request with the indexed pages in the database.

Calculating relevancy- it is likely that more than one page contains the search string, so the search engine starts calculating the relevancy of each of the pages in its index to the searchstring. Retrieving results- the last step in search engine activities is retrieving the best-matched results. Basically, it is nothing more than simply displaying them in the browser.

Search engines such as Google and yahoo often update their relevancy algorithm dozens of times per month. When you see changes in your rankings, it is due to an algorithmic shift or something else beyond your control. Although the basic principle of operation of all search engines is same,the minor differences between their relevance algorithms lead to major changes in the relevancy of results

With the inevitable advancement of AI, it has become a necessity for every marketer to reform their marketing strategy to include AI in SEO.

Artificial intelligence tools like AI-powered chatbot tools and their abilities to perform multiple functions and analyze tons of data have been shaping the SEO landscape and are making their way into mainstream marketing. Regardless of the tools that we use for SEO, Google will still prioritize great content and a seamless UX for searchers. That said, during 2022 we will experience the emergence and prevalence of AI. technology that will eventually have a huge impact on our work. Even in 2021, there are at least three fields where AI-powered tech making a change to the way we approach SEO: AI search, AI content writing, AI technical on-page analysis. There are a ton of interesting companies doing work in each of these areas.

By 2022 AI is totally going to make digital marketing more powerful and effective. It will change the persuasion factor of target marketing which thereby will lead to conversion-based marketing. For a decade it has been analyzing that the data collected for digital advertising is not accurate and narrow.

Artificial intelligence is getting more and more present in the digital marketing space and ishelping marketing professionals to gain insights from data. Artificial intelligence, machine learning, or other predictive analytics features are already available to marketers through keymarketing technologies such as CRM or marketing automation.

SEO is not left behind and advanced analytics capabilities provided by AI will help to the acquisition of customers and Improve top-of-the-funnel efforts. Several activities are involved in the SEO process. It starts with the analysis of the user’s intent and competition strategy to produce relevant content. Then an essential part of SEO is about monitoring the results, testing new approaches, learning, and repeating.

Most of these activities could be automatized and scaled with the support of artificial intelligence and machine learning model. Some scenarios where AI could help SEO day-to-day work.

● Customer intent and competition analysis: Automated analysis of the organic search and competition performing content to identify gaps and keyboard opportunities.

● SERP analysis: Monitoring of the SERP for the target keywords to define trends and insight about action to take.

● Automated SEO experiments and website performance: AI model could apply automatic changes on various pages of the website to increase the organic reach and website traffic.

Mobile search is really important nowadays. In fact, mobile search has replaced desktop search as more and more people stop using their desktop devices and use their mobile devices. Ofcourse, people can look at websites even in their desktop versions on their mobile devices but this is quite redundant and unnecessary