AI Search
AI search uses large language models to generate direct answers from web content instead of returning ranked link lists. Here's what it means for SEO.
AI search refers to search tools and experiences that use large language models to generate direct answers from web content, rather than returning ranked lists of links. Major AI search products include Google AI Overviews, ChatGPT, Perplexity, and Claude.
What is AI Search?
AI search is the umbrella term for any search experience powered by generative AI. Instead of matching keywords to pages and ranking them, AI search tools read content from multiple sources, synthesise an answer, and present it with citations.
This includes three main categories: AI features embedded within traditional search engines (Google AI Overviews, Bing Copilot), standalone AI search products (Perplexity, ChatGPT Search), and AI assistants with web access (Claude, Gemini). Each operates with different architectures—some use retrieval-augmented generation (RAG) with real-time search, others rely on training data or hybrid approaches. The common thread is that the LLM acts as the intermediary between query and content.
How AI Search Differs from Traditional Search
Traditional search follows a simple path: query → ranked links → user clicks and reads. AI search flips this model: query → AI reads multiple sources → synthesised answer with citations.
The key shift is that AI is now the intermediary reader. It visits your site, extracts information, and presents it to the user. The user may never visit your page directly. This changes what "visibility" means—ranking well for keywords no longer guarantees your content will be surfaced by the answer engine.
Our navigation research tested how AI search agents actually navigate websites across 3,348 tasks. The data shows search-first approaches either succeed instantly (90%) or fail badly (27%), with position in the DOM often mattering more than semantic relevance. This means technical site structure directly impacts AI discoverability in ways traditional SEO metrics don't capture.
Why AI Search Matters Now
AI search is no longer experimental. Adoption is accelerating across enterprise and consumer segments, and the consequences for organic visibility are material. Well-optimised sites have an opportunity to be the sources powering these answers, but the threshold for inclusion is changing.
The data is clear: when AI agents navigate your site, they're not reading like humans. They follow different paths, prioritise different signals, and can get stuck on structural issues that would never impact a human visitor. Our research found 91% of successful navigation completes within two clicks. If your information architecture requires deeper exploration, AI search tools may simply move on to a competitor's site with cleaner structure.
This isn't about optimising for Google anymore. It's about optimising for how each AI search tool retrieves, reads, and references your content. The platforms differ in their retrieval methods and citation behaviour, meaning you need visibility across multiple answer engines, not just one SERP.
The AI Search Landscape
Understanding which platforms matter is critical. The landscape has fragmented into distinct types of AI search tools, each with different implications for content strategy and Answer Engine Optimisation:
- Google AI Overviews: Integrated into SERPs, powered by Gemini. Dominates traditional search traffic but creates zero-click experiences.
- ChatGPT Search: Standalone, real-time web search with conversation history. Growing user base with high engagement.
- Perplexity: Search-native, citation-heavy by design. Strong preference for well-structured, authoritative sources.
- Claude: Research-capable with advanced tool use. Better at handling complex, multi-step queries.
Each platform has different retrieval methods, citation behaviour, and user intent patterns. A site that performs well in Perplexity's answers may not show up in Google's AI Overviews at all.
Related Terms
- Answer Engine Optimisation (AEO) — The discipline of optimising for AI search
- AI Overview — Google's AI search feature integrated into SERPs
- Zero-Click Search — When users get answers without clicking through to a site
- Semantic Search — Understanding query intent rather than exact keyword matching
- ChatGPT Search — OpenAI's real-time AI search product
- Perplexity — AI search engine with strong citation practices
Understanding AI search is the first step. Compass shows you how AI search tools actually interact with your specific site.