Brief 4 of the GEO Case Studies series. Four cases where schema implementation — or the lack of it — directly affected what AI engines said about a brand. Organization, Person, and FAQPage schema in practice.
The named-practitioner pattern is the most consistent finding across all 19 Citation Share studies. Named individuals out-cite their institutions on expertise queries. The complete five-component framework for building it.
Brief 3 of the GEO Case Studies series. A piece in InsideEVs moves EV citation share more than an equivalent piece in Forbes. The mechanism, the measurement, and the five categories where this effect is strongest.
The end-to-end GEO practitioner's guide — from baseline audit through entity infrastructure, earned media targeting, schema build, and monthly measurement. The complete sequence in one place.
Which brands AI engines name most when buyers research AI communications, GEO, and AI visibility services. The first Citation Share study of the category that builds Citation Share.
What changes when an AI-native communications operation grows from a 90-day pilot to a fully institutionalized discipline. The roles, the budget, the politics, and what year two looks like.
19 industry studies. 5 patterns that appeared in every category. The biggest surprises. And what the data says about where AI citation is going.
Three brands that have built genuinely AI-native communications operations — a B2B SaaS company, a luxury hotel group, and a management consulting firm. What they did, what it cost, and what moved.
Brief 2 of the GEO Case Studies series. Reddit is #1 in AI citation share. The mechanism, the query types it dominates, and what authentic community presence means as a GEO strategy.
Brief 1 of the GEO Case Studies series. Wikipedia wasn't built for AI citation — but its structure, sourcing standards, and entity architecture make it the single highest-leverage AI citation investment available.