AI Search Academy
Core term

AI Search

AI-søk

AI search is a search technology in which artificial intelligence models — typically large language models (LLMs) — generate natural-language answers to questions rather than presenting a list of links. Examples include ChatGPT Search, Google AI Overviews, Perplexity, and Microsoft Copilot.

Traditional search returns a list of links ranked by relevance signals. AI search reads and analyzes the sources, then generates a synthesized answer directly for the user — often without the user clicking through to a website at all.

AI search combines two technologies: large language models (for text generation and understanding) and retrieval systems (for finding current, fresh sources to ground the answer in). Perplexity is a pure-play example; Google AI Overviews is a hybrid between traditional search and AI synthesis.

The consequences for marketers are significant: click-through rates from traditional search are declining, while AI visibility — being cited as a source in the AI answer — is becoming the primary value-creating position.

Frequently asked questions

What's the difference between AI search and traditional search?
Traditional search returns a list of links. AI search generates a direct answer, often with source citations. AI search understands context and intent better, but it can also hallucinate — producing answers that sound correct but are factually wrong.
Which AI search engines exist?
The major ones are ChatGPT Search (OpenAI), Google AI Overviews, Perplexity AI, Microsoft Copilot (Bing-based), and Grok (xAI). In addition, many AI assistants use search as a component.

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AI Search & Growth Strategist with 25+ years in digital marketing. Read more →