Conversational Search
Search experiences that leverage natural language, follow-up questions, and contextual understanding, powered by AI.
Conversational search allows users to interact with search systems in a dialogue-like manner, using natural language and follow-up queries that build on prior context. This AI-driven approach transforms search from a static list of links into an interactive experience, enabling users to refine queries and explore topics more intuitively.
By understanding conversational patterns and the intent behind questions, AI search systems provide responses that are contextually aware, reducing the need for repeated or overly specific keyword searches. This technology represents the evolution of search toward a more human-centric, responsive interaction.
Examples of Conversational Search
- Google Search showing follow-up suggestions based on your previous query to clarify intent.
- Voice assistants like Alexa or Google Assistant handling multi-step commands or questions in sequence.
- AI-driven chat search platforms such as You.com or Perplexity, where users can iterate on answers through dialogue.
Frequently Asked Questions about Conversational Search
Related Definitions
Prompt Injection
An adversarial attack technique where malicious instructions are embedded in prompts to manipulate AI model behavior.
Grok
xAI’s conversational AI chatbot built by Elon Musk’s company, designed to compete with ChatGPT and integrated into X (formerly Twitter).
Memory Update
The process of updating an AI system’s stored context or long-term memory to retain user information, preferences, or new knowledge.