Listen: Keyword Research
Finding the queries an audience uses, sizing the demand and mapping them to pages. In AI search the unit shifts from a keyword to a prompt and the queries it fans out into.
Transcript
Keyword research is how we find what our audience is searching for, understand the demand, and map those queries to specific pages. Traditionally, this means gathering queries from tools like Google Search Console, keyword databases, and autocomplete features. Instead of targeting single phrases, we group similar queries into clusters, mapping one concept to one page.
But generative artificial intelligence is changing the game. AI search engines do not just answer a single typed query. Instead, they expand a user's prompt into several sub-queries to construct one comprehensive answer.
This shift means the focus of research is moving from a single keyword to a prompt and the web of queries it triggers. Because search volume for these AI-generated queries is not publicly reported, mapping these implicit searches is becoming essential. This is where large language model search volume prediction comes in, helping us bridge the gap and understand the hidden demand in an AI-driven search landscape.