AI Search Is the New Front Page: Tracking Your Brand in ChatGPT, Perplexity & Gemini
A growing slice of your buyers never see a search results page. They ask ChatGPT, Perplexity or Gemini a question, get a synthesized answer with three brands in it, and shortlist from there. Google's own AI Overviews now sit above the links it used to sell. The front page of the internet is becoming an answer, not a list; and most brands have no idea whether they're in it.
This is part four of The Connected Growth Stack, and it covers the newest board in the stack: AI visibility. What to measure, how the engines pick their citations, and the practical moves that get you into answers you're currently missing from.
The three numbers of AI visibility
AI visibility tracking works by running a fixed set of prompts; the questions your buyers actually ask; across the major engines on a schedule, then parsing the answers. Three metrics fall out: visibility (the share of answers that mention you at all), share of voice (your slice of all brand mentions versus competitors), and position (where in the answer you appear; first mention reads as the default recommendation).
Sentiment rides along as a fourth: engines don't just name brands, they characterize them, and "budget option" versus "category leader" in a million AI answers is brand positioning you didn't write. Lumetry tracks all four per engine and per topic through its AI-visibility integration, alongside the prompt-level detail of exactly which questions you're missing from.
How engines choose who to mention
The engines synthesize from retrieval, and retrieval leans on a recognizable set of sources: comparison and review sites, editorial coverage, community threads (Reddit above all), documentation, and structured product data. The citation report is the strategic gold; it tells you which specific domains and URLs the engines trust for your category. That list is your earned-media target list, ranked by machine trust.
This is the discipline being called generative engine optimization (GEO), and it overlaps SEO without being SEO. Rankings still matter (retrieval often starts from search), but so do things classic SEO ignores: being present in comparison tables, having claims phrased in extractable sentences, and community mentions with real detail. The biggest-gaps view; high-volume prompts where competitors appear and you don't; turns all of this into a to-do list.
Five moves that actually shift AI answers
The playbook is young but the early results cluster around five moves: earn coverage on the domains your category's answers cite most; publish genuinely comparative content (engines love a fair comparison table); keep product data structured and complete (merchant feeds and schema get read); seed authentic community presence where your buyers ask questions; and keep your own site's claims specific; "12,000 five-star reviews" is extractable, "customers love us" is not.
For commerce brands there's a shopping-specific layer: product visibility inside AI shopping answers, where the engines assemble recommendation carts. That's a different retrieval path (feeds and reviews more than editorial) and Lumetry tracks it as its own tab. Next up, the series finale: part five; the AI analyst that reads every board in this series and hands you the brief.
AI answers are a measurable channel: track visibility, share of voice and position across engines weekly, mine the citation report for your earned-media hit list, and treat the biggest-gaps view as your GEO backlog.