Tag: AI Search

AI search refers to the next generation of search experiences powered by large language models — including Google AI Overviews, ChatGPT Browse, Perplexity, and Microsoft Copilot — that generate synthesized, conversational answers to user queries rather than returning a ranked list of links. AI search represents the most significant structural shift in how people find information since Google's original PageRank algorithm.

The implications for digital marketing are fundamental. When an AI search system answers a query about "best B2B marketing agencies in Chicago" or "what is generative engine optimization," it draws from a curated set of sources it has determined to be authoritative, well-structured, and directly responsive to the question. Traditional SEO ranking factors matter far less than content clarity, citation-readiness, structured data, and entity authority. This shift has given rise to the discipline of Generative Engine Optimization (GEO) as a complement to traditional SEO.

Mabbly tracks AI search behavior closely — analyzing which content gets cited in ChatGPT, Perplexity, and Google AI Overviews, what structural and semantic characteristics trigger citation, and how brand entity authority influences AI system decisions. This research directly informs how the agency structures content and implements schema markup for clients operating in AI-first search environments.

This tag page gathers Mabbly's writing on AI search — including how it works, how it differs from traditional search, what brands need to do to achieve visibility within AI-generated answers, and how AI search behavior is evolving across the major platforms. For marketers rethinking their organic visibility strategy, these articles are a critical starting point.