AI search is a general and broader term that includes semantic search as well as other machine learning techniques for delivering search results. AI search typically involves several steps, including query processing, retrieval, and ranking.

On the other hand, AI in search engines involves the latest algorithms capable of learning and evolving over time. They look through countless web pages, categorize information based on its relevance, and deliver results that fulfill users’ needs.

AI-powered search engines rely on natural language processing (NLP) to read, understand, interpret, and analyze queries. As mentioned, these models targeting improved search relevance require training on natural language data. This data must cover millions of use cases and edge cases, which run from vague to precise.

The biggest way search engines use AI is to rank webpages, videos, and other content in search results. Google (and other search engines) rely on complex AI to determine how content gets ranked.

AI SEO is a type of search engine optimization that uses artificial intelligence to improve a website or webpage's organic performance. Many AI SEO tools can analyze your website's performance and provide solutions to areas that need improvement.