What SEO Problems Does AI Solve?

SEO takes time, tons of resources and consistent effort on the part of marketing teams. 

Google’s algorithms continually update and evolve, meaning SEO is never really finished.  As a result, the use-cases for AI in SEO are significant.

3 WAYS DIGITAL MARKETERS CAN LEVERAGE AI FOR SEO SUCCESS

1. SEO CONTENT CREATION AT SCALE

A few examples of current content tools utilizing GPT-3 and other NLP models include:

CopyAI  Jasper (formerly Jarvis)  SearchAtlas  Frase  Headlime

2. AUTOMATED KEYWORD RESEARCH AND CLUSTERING

Machine learning is accelerating and automating keyword research. AI-powered tools help SEOs gather information quickly and make smarter decisions around keyword targeting.  

3. SERP ANALYTICS

one of the SEO industry’s biggest challenges has remained the same: not knowing exactly how Google ranks and promotes web pages. 

Now, AI and data science are helping SEOs gain more insight into the SERPs and how Google ranks and promotes web pages. 

Is AI Required for SEO Success?

Content marketers are applying AI to solve a huge array of problems in SEO, and those specific incarnations of AI technology are turning into their own SaaS companies. Although AI can’t yet replace search engine optimizers entirely, AI-powered tools are now essential to SEO success.