AI engines don't have opinions. They synthesize from sources. Understanding exactly which source signals carry the most weight — and why your website matters less than you think — is the foundational knowledge for any GEO program.
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.
19 industry studies. 5 patterns that appeared in every category. The biggest surprises. And what the data says about where AI citation is going.
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.
The source map for EdTech AI answers. Government validation sources anchor the factual floor. Category-native trade press sets the editorial tier. Named researchers own the expertise layer.
Citation Share measures how often your brand appears in AI-generated answers across ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews. It's the successor to share of voice — and the most important metric in AI Communications.