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Issues on search, applied AI, technical SEO, GEO, WPO and measurement: what genuinely changes and what it costs you two or three steps later. So you can decide what earns a slot on your roadmap and what you can ignore.
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Every issue takes one concrete shift (a core update, an agent that browses and buys, a new way of measuring) and follows it to where it hurts: your site, your team and your budget. It comes from systems in production, with logs and failures, not showcase demos. Signup is on Substack: one click and you are in.
Topics
What lands in your inbox
- The agentic web: AI agents that visit, read and buy. What HTML you need to serve them and what you miss if you only measure humans.
- Markdown for Agents and incentives for bots: what your SEO (and your paid) gains and loses when the visitor is a machine.
- Google core updates read with judgement: the signal under the noise, and when the right call is to change nothing.
- Search AI versus classic search: conversational, agentic, citability and the measurement gap they leave behind.
- Context engineering and skills: giving the model a map, combining several, saving the tools that work and reusing them.
- Technical SEO, WPO, GEO and measurement when they reach the P&L, not when they look tidy on a dashboard.
- Applied AI in production: pipelines, agents, anomaly detection and productivity plans you actually write down.
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