{"id":6997,"date":"2026-05-16T18:42:02","date_gmt":"2026-05-16T11:42:02","guid":{"rendered":"https:\/\/adtek.agency\/ai-seo-tools-workflows\/"},"modified":"2026-10-20T22:56:35","modified_gmt":"2026-10-20T15:56:35","slug":"ai-seo-tools-workflows","status":"publish","type":"post","link":"https:\/\/adtek.agency\/en\/ai-seo-tools-workflows\/","title":{"rendered":"24 ways to use AI to improve your SEO"},"content":{"rendered":"

Updated on October 19, 2026: figures reviewed and updated.<\/em><\/p>\n

If you work in SEO, you have probably started to feel overwhelmed by the sheer number of AI SEO tools on the market right now. It is hard to tell which of them actually solve the problems you run into in day-to-day SEO work.<\/span><\/p>\n

That is why this article pulls together a list of AI tools that SEO practitioners have used themselves and picked carefully to make the SEO process more efficient. Whether you are looking for no-code tools, SEO automation or AI that simply helps you get more done, the list below should give you options worth adding to your daily workflow.<\/span><\/p>\n

AI SEO tools for search and content research<\/b><\/h2>\n

1. Moz AI: better keyword research with search intent analysis<\/b><\/h3>\n

Chima Mmeje has described Moz AI as a very useful tool for keyword research and for analyzing what users intend when they search. The tool identifies the keywords a website already ranks for and analyzes the search intent behind each query. That makes it easier to build a content strategy that stays close to what users actually need.<\/span><\/p>\n

What sets Moz AI apart is its fairly unusual two-layer model for analyzing search intent. The first layer uses a machine learning model trained on search intent data. The second is a rule-based system built on years of research and experience with Google’s SERP signals. Combining the two makes intent classification more accurate and more useful in practice.<\/span><\/p>\n\"Moz\n

Here is how Chima uses Moz AI in her SEO process:<\/span><\/p>\n