Most of what AI search does for a business never arrives as a click, so last click analytics reports it as Google or Direct and the revenue looks like it came from somewhere else. This guide is the method we run on every client to measure it: traffic from AI models, visibility on the prompts buyers ask, and revenue confirmed by the buyer at two touch points. It includes the counting rules, a worked example and a checklist you can run on your own site in a week.

GEO stands for generative engine optimization: the work that gets your business named and cited when someone asks ChatGPT, Gemini or Google AI Overviews for a recommendation. Here are the four steps of the work, how an AI assistant picks the companies it names, what the research measured, and when we would tell a business to wait.

AEO, or answer engine optimization, is the work of writing pages that an AI can lift an answer from and name you as the source. Here is what an answer engine does with a question, which part of GEO the term covers, the two numbers it is measured by, and the cases where waiting is the better call.

AI SEO is the name many people use for getting your business named and cited in AI answers. This guide explains the work in four plain steps, what changes from classic search work and what carries over, and where a beginner starts. It also covers what the peer-reviewed research found, including the old habit that now measures worse than doing nothing.

The letters AIO are used for three different jobs, and two of them spend your money in different places. Here is who uses the word each way, since when, and the question to ask before you approve a budget.

Prompt tracking is mystery shopping inside ChatGPT, done every day by a robot. It asks your buyers' questions and records which brands the answer names, engine by engine. This is what it measures, why a single reading tells you nothing, and when a business should wait.

Every visibility number we report is measured over a prompt set, so the set decides what the number means. This guide is the method we use on every client to build it: four sources of buyer language, the shape a prompt has to take, the two tests every prompt passes before it is tracked, the client review, the freeze and the baseline that follows.