Thinking that earns its place.
Research, analysis, and strategic commentary on marketing attribution, AI search visibility, and data-driven performance. Published by Arcalea practitioners with active client work in each area.
Harvard Leads. Wharton Dominates Volume. The Other Five Are Competing for What's Left.
Arcalea tracked 40 prompts across ChatGPT, Perplexity, Gemini, and Claude to measure which M7 business schools appear in AI-generated answers to MBA applicant queries. The composite scores reveal a 9-point gap between the top three and the bottom four, plus a platform-level split no one saw coming.
The Agencies Winning on Google and the Agencies Winning in AI Are Not the Same Companies.
73 prompts. 247 AI responses. 15 surrogacy agencies tracked. Arcalea's surrogacy AEO Index reveals a fundamental split: of 15 agencies in the index, exactly one wins on both Google and AI. Every other agency is winning on one channel and losing on the other.
Ferguson Dominates. Hajoca Doesn't Exist. The $40B Distribution Market Has an AI Visibility Problem.
62 prompts. 21 distributors. The largest private plumbing distributor in the US operates under 60-plus regional trade names, and AI engines have no idea who they are. Arcalea's commercial distribution index documents the entity fragmentation problem hiding inside the industry's market structure.
Twelve Predictions for Digital, Data, Analytics & AI in 2026
Six global practitioners. Twelve expert-backed predictions across digital infrastructure, data architecture, AI governance, agentic workflows, and ROI frameworks. Download the D2A2 2026 Insights Report to see where enterprise leaders are placing their bets.
The Architecture of Authority: How SEO, AEO, and GEO Work Togethe
The three disciplines that determine which brands get cited by AI engines versus which get ignored. A structural overview of how authority is built in the AI search era.
AEO Turned Soft Goals Into Hard Deadlines, and Most Programs Aren't Built for It
SEO always had two goals: the hard one leadership could see on a chart, and the soft one that shaped how the program was perceived. AEO collapsed the distance between them. This piece covers why the old way of managing that gap no longer works, and what to build instead.
Why Your AI Visibility Reports Are Probably Wrong (And How to Fix Them)
Most AI visibility programs look rigorous on paper. They have prompt lists, platform coverage, and a monthly reporting cadence. What they don't have is a methodology sound enough to tell signal from noise, and in a system where ChatGPT replaces 74% of its cited sources every week, that gap compounds fast. This post breaks down exactly where standard tracking falls apart and what it takes to build measurement worth making decisions from.
The Arcalea Executive Briefing
Weekly. Opinionated. For people who make decisions with data.