Experiment No. 001

Google doesn't have a market share problem. It has an intent-phase problem. The platform still processes the majority of the world's searches ... but the type of search that defines discovery has quietly migrated somewhere else.

Google holds 90% of global search market share. But 'mostly right' is doing a lot of work in that sentence. This is Phase Zero of the Real SEO™ AI citability experiment ... the question before the answer.

Sixty-three percent of marketers know that AI search is reshaping discovery. Most of them haven't started optimizing for it. That's either the best opportunity in search right now, or a window that's already smaller than it appears.

Ranking at position one and receiving zero traffic from it is no longer an edge case. It is the experience of millions of pages, across millions of queries, every day. The question isn't whether this is happening ... it's what ranking is even supposed to mean when it does.

You can engineer the conditions for AI citation. You cannot engineer the citation itself. That distinction separates the teams spending money on the right layer from the ones building signal infrastructure on top of content that won't get selected regardless.

Most sites that want AI citations are missing the infrastructure to earn them. Not because the content is bad ... but because the technical layer isn't there, the knowledge organization is fragmented, or the editorial signals don't match what LLMs actually select from. This is the complete requirements map.

The search attention story of the last twenty years is simple: organic reach gets compressed as paid placement matures. AI search platforms are following the same arc, at a faster pace. The organic window for AI citation is the last major search surface that isn't already for sale ... and it won't stay that way.