Resources
Checklist
The 60-point review we run on every new client's website, search, paid media, analytics and technology stack.
Framework
How we rank candidate AI applications by value, feasibility and risk — including the criteria that disqualify a use case.
Runbook
The step-by-step process we follow to move a site without losing organic traffic, including the checks most teams skip.
Template
A three-year total cost comparison template covering license, implementation, maintenance and opportunity cost.
Guide
How to diagnose and fix LCP, INP and CLS problems against real user data rather than lab scores.
Template
The questions worth asking any technology vendor before signing, and what a good answer looks like.
Writing
The gap between a working demo and a production AI system is almost never the model. It is evaluation, ownership and the operational layer nobody scoped.
6 min read
Most performance work optimizes a lab score that no customer experiences. Here is how to find the slowness that is costing you money.
6 min read
AI summaries take clicks that informational content used to earn. That is a real problem for some strategies and almost none for others.
6 min read
Coming soon
Next step
The frameworks are useful. Having someone run them against your actual estate is considerably more useful.
No pitch deck. A 30-minute conversation about what you are trying to achieve.