Current work
Justin leads Really Good GEO, a platform and operating system for auditing web pages, improving citation readiness, and measuring how AI engines surface brands across representative questions.
His work concentrates on the practical layer between brand strategy and machine retrieval: direct answers, entity clarity, evidence quality, honest tradeoffs, decision usefulness, and repeatable measurement.
Background
Before Really Good GEO, Justin spent two decades building brand and creative systems for organizations including Amazon, Nike, MAC Cosmetics, Tory Burch, and Estée Lauder.
Publishing standard
Really Good GEO separates readiness scores from observed citations, and branded retrieval from unbranded category discovery. Public research includes its method, sample, date, and limitations. Outcomes are reported as observations, not guarantees.