Conversational Search
Searching by asking a question in natural language, often across several turns, and getting a synthesised answer rather than a list of links.
What is conversational search?
Conversational search is searching by asking questions in natural language — often over several turns — and receiving a single synthesised answer rather than a ranked list of links.
Conversational search replaces the keyword box with a dialogue: people ask full questions, follow up, and expect one coherent answer.
Engines like ChatGPT, Claude, Gemini and Perplexity let users phrase intent the way they would ask a colleague. The engine interprets the full question, may ground its reply on live sources, and returns a composed answer. Follow-up turns refine it, so context accumulates across the conversation.
This changes what content must do. Pages optimised for short keyword strings underperform; pages that directly answer real questions, define their entity clearly and structure information for extraction are the ones engines lift into the conversation.
Conversational search is the channel AEO and GEO target. SkuLift probes these engines with realistic questions and measures whether a brand is mentioned and cited in the answers buyers actually receive.