Insights
Notes from building for both audiences.
Technical writing on search, AI discovery and agent infrastructure. Every factual claim links to primary documentation; anything experimental is labeled.
- Measurement What AI crawlers actually do — and what their traffic doesn't prove AI providers run separate bots for training, search indexing and user-initiated fetches. Here's what each does, how to control them, and why crawler hits aren't demand.
- Demonstration · synthetic data Crawlable, understandable, interactive, transactable: four levels of machine readiness A worked example, with a fictional business and synthetic data, showing how page structure changes what machines can extract — and how we separate visibility metrics.
- Measurement · includes synthetic data Measuring human traffic, AI referrals and agent requests separately Six buckets, one classification order, and why their numbers never add up to a single score — with a worked example using synthetic data for a fictional business.
- Agent infrastructure When should a website expose an API for AI agents? Most businesses don't need an agent API yet. A decision guide: when well-built HTML is enough, when an API pays off, and what an agent-facing API should include.
In preparation
Published only once the research and sources are complete.
- Why AI search visibility is different from traditional SEO
- How to make your website readable to autonomous AI agents
- Domain architecture for an AI-mediated web
- Technical SEO and structured data for AI discovery