Conversational Search
A search experience where users interact with an AI in a dialogue format, using natural language instead of keyword strings.
What is Conversational Search?
Conversational search replaces the query box and results list with a back-and-forth exchange. A user asks a full question in plain language, the assistant answers, and the user refines with follow-ups such as "cheaper options" or "which of those works with Shopify". The assistant keeps the context of the whole conversation, so later turns do not have to restate what was asked before. ChatGPT, Perplexity, Gemini, Copilot and Google's AI Mode all work this way.
Under the hood, most conversational search systems combine a large language model with retrieval. Each turn is rewritten into one or more search queries, the engine fetches pages, and the model synthesises an answer with citations. Because the user never sees the intermediate queries, the vocabulary that matters is the model's reformulation, not the literal words the user typed.
The behavioural shift is significant. Queries become longer and more specific, sessions become multi-turn, and the answer often resolves the need without a click. Comparison, recommendation and how-to intents are especially common, which is why brand recommendations inside these conversations have become a marketing concern.
Why it matters for AI search
Conversational search changes what "ranking" means. There is no page two; there is an answer, a follow-up, and a shortlist. Content has to be retrievable for many phrasings of the same intent and structured so a model can lift a clean answer from it. It also means brand visibility must be measured across a set of realistic prompts and follow-ups, not a keyword list, because the same conversation can surface different brands at different turns.
Related terms
Semantic Search
Search focused on the meaning and intent behind words rather than simple keyword matching.
Intent Mapping
The process of aligning website content with the specific goals or questions of a user's conversational prompt.
AEO (Answer Engine Optimization)
The practice of optimizing content to be cited and recommended by AI-driven search engines and conversational assistants like ChatGPT and Perplexity.
LLM (Large Language Model)
A type of AI trained on vast amounts of text data to understand and generate human-like language (e.g., GPT-4, Claude 3).
Conversational Query
Natural language questions users ask AI assistants, as opposed to keyword-based search queries. AEO optimizes for these.
Frequently asked questions
Is conversational search the same as voice search?+
No. Voice search is an input method. Conversational search describes the multi-turn, natural-language interaction model, which can be typed or spoken. Modern assistants support both.
How do I optimise content for conversational search?+
Write pages that answer specific questions directly, cover the natural follow-ups on the same page or in linked pages, use headings phrased as questions, and make sure the page can be retrieved by AI search crawlers. Then track which prompts and follow-ups surface your brand.