What is AI search?
AI search refers to search experiences powered by large language models that generate synthesized answers rather than simply ranking links. It includes Google AI Overviews (built on Gemini), ChatGPT search (OpenAI with Bing/web retrieval), Perplexity AI, Microsoft Copilot, and Apple Intelligence search. These systems retrieve relevant content, synthesize it, and present a composed answer — often with citation links.
AI search is distinct from traditional search in how it presents results, how it selects sources, and what constitutes "visibility." In classic search, visibility is a ranked position. In AI search, visibility is a citation inside a generated answer, which may or may not correlate with a top-10 organic ranking.
How to optimize for AI search
Optimization for AI search shares the technical foundations of SEO — indexability, site speed, structured data — but rewards different content characteristics. AI systems favour content that answers questions directly, uses explicit entity references, presents facts in citable passages, and is authoritative enough to be retrieved over competing pages.
The measurement challenge is significant. AI search does not report citation share in the way Google Search Console reports impressions and clicks. Tracking AI search visibility requires running a standardized set of prompts across platforms on a schedule and recording which brands and pages are cited — a practice sometimes called prompt monitoring or AI rank tracking.
Example
Example
A user asks Perplexity "what are the best SEO agencies for ecommerce brands". Perplexity synthesizes an answer citing three agencies. The cited agencies have AI search visibility for that category; the uncited agencies do not, regardless of their Google organic rankings.
Frequently asked questions
Is AI search replacing traditional Google search?
Partially and incrementally. For informational and research queries, AI-generated answers are increasingly the first stop. For transactional and navigational queries, traditional links remain dominant. The mix is shifting, which justifies dual investment in classic SEO and AI citation optimization.
What makes a page likely to be cited in AI search?
Indexability, fast load, clear heading structure, direct answers, factual density, and entity clarity. Pages that answer the exact question in a retrievable passage and carry authority signals (backlinks, entity footprint) are cited more consistently across AI search engines.