Now

Answer engine optimization for pharma. The bulk of my work right now — helping pharma and healthcare brands get found, trusted, and cited as answers move from blue links to AI assistants like ChatGPT, Perplexity, and Google's AI Overviews. In regulated categories the hard part is structural, not creative: assembling machine-readable answers from language that has already cleared MLR, and tracking AI visibility like a media channel instead of guessing at it.

AI-charged dashboards and pulse reports. Rebuilding how pharma marketing teams see their data — dashboards that use AI to explain what changed and why, plus short automated readouts that land on a cadence: the numbers that moved, what drove them, and what to do next.

Open-sourcing implementation tools. Released ard-to-analytics, a workflow that generates a complete analytics implementation — ARD, GTM container, QA plan, GA4 checklist — from a single spec file. Built from repeated client work; now MIT-licensed on GitHub.

Writing here weekly-ish about AI search, measurement, and pharma marketing — see writing and prompts. This site doubles as a working demo of the AEO practices I recommend: every article is machine-readable, and the whole site is structured for answer engines.