Conversational search lets people find information by asking questions in everyday language — and often following up — instead of typing terse keywords. Powered by natural language understanding and, increasingly, large language models, it treats a query as a dialogue, carrying context from one question to the next.
A decade ago you'd type "weather Toronto." Today you ask "will I need an umbrella this afternoon?" and follow with "what about tomorrow?" — and the engine remembers you meant Toronto. Voice assistants started this shift; Google's Hummingbird update pushed it forward; today AI Mode and chat assistants make it the default way many people search. Content written the way people actually speak now has an edge.
A cycling retailer notices queries shifting from "road bike 54cm" to "what size road bike for someone 5'9\"?" They add a sizing FAQ that answers the spoken question directly. It starts surfacing in People Also Ask and gets quoted inside AI Overviews, driving clicks the terse keyword page never captured. Structuring content this way is the core of answer engine optimization.