Writing on marketing technology, analytics, and digital systems.

These are working notes from implementation projects, not summaries of other people's posts. They cover five areas: marketing technology architecture and stack planning, analytics implementation and measurement, AI search visibility and how to measure it, SEO systems, and web architecture.

Each piece states its position up front, shows the reasoning, and lists the sources it relies on with the date they were checked. Where an article depends on something that changes — a platform behaviour, a vendor claim, a research finding — it says so rather than presenting it as settled. The companion checklists and templates live in Resources.

What Does One AI Agent Action Actually Cost?

Salesforce revised its Flex Credits rate card twice in 13 days. What one AI agent action costs on Salesforce, HubSpot and Adobe, verified September 8, 2026.

Can AI Engines Read Your Site? Check Three Layers

robots.txt is advisory, your CDN is enforced, and Web Bot Auth is experimental. Three commands that show which layer actually decides who can read your site.

Can You Trust AI Visibility Scores?

AI visibility scores are single runs of a probabilistic system. What the 2026 research actually supports, and a measurement protocol you can defend.

How to Plan a MarTech Stack Before Buying Tools

A practical, evidence-based framework for auditing capabilities, mapping data, defining requirements, evaluating vendors, and governing a MarTech stack.

CDP vs. CRM vs. Marketing Automation: What Each Does

Three systems, three jobs, and one question that settles most arguments: which system is authoritative for this field? Boundaries, data flow, and what to buy first.

AI Agents for SEO Content: Where Automation Helps

Which parts of an SEO content workflow an AI agent can own, which parts it must not, and the one test that separates them: is the task verifiable and reversible?

WordPress vs. Headless CMS: When to Make the Move

Headless is not automatically faster or better for SEO. What actually moves onto your team during a migration, what it costs, and when staying put is stronger.