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.
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.
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.
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.
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 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.
ChatGPT, Perplexity, Claude, Gemini, and Copilot are now primary discovery channels for millions of users. Each platform has different citation mechanics, different signals determine which brands appear in AI-generated responses and which are invisible. Here is what those mechanics are and a six-step framework for building AI search visibility.
Email marketing consistently delivers the highest measured ROI of any digital channel. But in multi-touch attribution models, it is systematically undercounted because most organizations track email opens and clicks rather than revenue outcomes. Connecting email to the attribution layer is the single biggest opportunity to justify email investment and optimize it properly.
Platform selection without a 2026 reality check is just a guess. This guide breaks down what is actually working on LinkedIn, Meta, TikTok, YouTube, and X this year, including algorithm changes, attribution pitfalls, and a compounding strategy framework for B2B and B2C programs.
Content distribution has fundamentally changed. In 2026, success requires two distinct tracks: traditional channels where your audience congregates, and AI search optimization to ensure your content reaches people through answer engines. This guide covers both.
Weekly. Opinionated. For people who make decisions with data.