Definition
Conversational Search is a search paradigm where the user interacts with an AI search engine in natural language, asking follow-up questions in a continuous dialogue. Unlike keyword-based search, it involves a conversational context where each query builds on the previous ones. This mode is native to AI engines (ChatGPT, Perplexity, Copilot) and is arriving in Google via AI Overviews. For GEO, you need to optimize content for conversational long-tail queries and typical follow-up questions.
Key Points
- Continuous natural language dialogue with maintained context
- Native to AI engines, coming to Google
- Optimize for long-tail queries and follow-up questions
Practical Examples
Search dialogue
A user asks 'what is link building?' then follows up with 'how much does it cost?' and 'what are the risks?'. The AI engine maintains context throughout.
Conversational optimization
Covering predictable follow-up questions in a comprehensive article increases the chances of being cited throughout a conversational session.
Frequently Asked Questions
Create content covering a topic in depth with anticipated follow-up questions. Use a natural tone and organize into logical thematic sections.
No, both coexist. Conversational search is dominant on AI engines, while keyword search remains predominant on traditional Google.
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Last updated: 2026-02-07