AI search is every surface that answers instead of just listing links: Google AI Overviews and AI Mode, ChatGPT search, Perplexity, Gemini. Each one reads the live web, selects a small set of sources it judges clear and trustworthy, writes a single answer, and cites a few of them.
That answer is increasingly the whole decision, about 58.5% of Google searches already end without a click (SparkToro, 2024), so if you are not in it, there is often no second look. The question is never how you rank, it is whether you are one of the sources the engine reaches for. From running this across the engines ourselves, we see three things decide it.
The engine has to identify you as a single, consistent entity rather than a fuzzy collection of mismatched profiles.
It strongly prefers pages that lead with a clear answer and back every claim with a real number and a named source, because adding sources, statistics and structure lifts visibility in AI answers by roughly 30 to 40% (Princeton GEO study, 2024). And it breaks ties toward freshness, the more recent of two competing sources tends to win.
None of that is a trick. The work is simply to be the easiest correct thing to cite.
