Notes on GEO, AI search, and what actually drives revenue.

Being cited by an AI model and being recommended by it are two separate outcomes. A 100-query study shows why 69% of brands publishing their own buyer's guides get cited, then watch a competitor get recommended instead.

Marketing, sales, product and CS all track their own metrics. Revenue is created in the handoffs between them. A 5-function framework for measuring the full journey end-to-end, and one question that exposes whether your reporting is actually connected.

Thirty content formats win citations or conversions in AI search, and most businesses only ever publish two or three of them. A 4-quadrant map, by difficulty and purpose, and a practical build order.

Websites are for humans. APIs are for developers. Why every SaaS company is suddenly building a third interface for AI agents, and why that's a GTM decision, not just an engineering one.

New Semrush data shows AI Overviews up 71% for commercial-intent keywords in six months. What that means for your website's role, and what a Commercial AEO measurement plan should track.

Roughly 70% of Google Ads accounts only track form fills. A maturity model for conversion tracking, and why revenue data, not lead counts, is what actually improves Smart Bidding.

What each keyword match type actually controls, why Smart Bidding changes the broad match calculation, and how Google prioritizes matches when campaigns and Performance Max overlap.

Expressed intent vs inferred interest: why the same 100 clicks from Google and Meta never convert the same, and how creative strategy has to flip between the two platforms.