AI Search.

AI search refers to search experiences where large language models generate conversational, synthesised answers directly in response to queries — rather than returning a ranked list of links for the user to review. Examples include Google AI Overviews, Bing Copilot, Perplexity AI, and ChatGPT with web browsing. AI search fundamentally changes how users interact with search results and how brands need to approach organic visibility.

The Zero-Click Shift

AI search accelerates the zero-click trend. When an AI system synthesises an accurate, comprehensive answer at the top of the search interface, many users receive the information they need without clicking through to a source page. Publishers that have relied on informational content for traffic face the most significant disruption; navigational and transactional queries are less affected.

Opportunities in AI Search

AI search creates new opportunities alongside its disruptions: being cited as a source in AI responses provides brand exposure to users who may never have found the brand via traditional search. AI systems often acknowledge gaps in their knowledge or refer users to specialists for complex, high-stakes, or personalised needs — these referral moments represent high-intent traffic that traditional SEO couldn't always capture.

Measuring AI Search Visibility

Traditional rank tracking tools do not capture AI search positions. Measuring AI search visibility requires: manual query monitoring across AI platforms, third-party AI monitoring tools (Otterly.ai, Profound, SE Ranking AI), branded search volume trends (as a downstream proxy for AI-driven brand discovery), and direct traffic analysis (users who discovered the brand in an AI response and then navigated directly).