What is AI Search?

A developer's guide to understanding AI-native search, how it works, what separates the good from the bad, and what to actually check before picking a provider. Quick answer: AI search is the ability for an AI system to query external information sources at runtime and retrieve actual content. Not just links, not summaries of summaries, but real data. Without it, an LLM is limited to whatever it saw during training. With it, an LLM can answer questions about earnings calls filed yesterday, drug interactions from the latest clinical trial, or stock prices from three hours ago. AI search is to an LLM what the internet is to a knowledge worker. It's not optional infrastructure. Table of Contents Why AI Agents Need Search AI-Native Search vs Traditional Keyword Search The Five Things That Need to Be First-Class Breadth: Web + Proprietary Sources Depth: Content, Not Links Freshness: Real-Time, Not Stale Caches AI-Native Query Understanding LLM Integration: First-Class, Not Bolted On The Eva