The content engine, live
Field notes from the flywheel
Everything here was shaped by the same content engine we run for clients — proof the system works, in public. (Seeded preview; full posts coming online.)
Become the brand AI recommends first
Generative engines don't rank ten blue links — they pick. Here's how we engineer the signals that make ChatGPT and Perplexity cite you when a buyer asks.
llms.txt, explained for owners (not engineers)
A plain-language tour of the file that tells AI engines who you are — what it is, why it matters, and what to put in it.
One idea, every channel: how a content engine actually fans out
Publishing platforms built for writers are the wrong destinations. Where your buyers actually are — GBP, LinkedIn, Nextdoor, and the surfaces specific to your vertical.
Listing titles are leaving money on the table
Name-only titles miss the amenity-and-location search segment entirely. A before→after teardown of titles that convert and get cited.
Attribution that survives the AI-direct era
When buyers arrive pre-sold from an AI answer, last-click lies. How we trace traffic → engagement → conversion → revenue without fooling ourselves.
Why the winners compound (and the rest just 'use AI')
Most businesses bolt AI onto one task. The flywheel mindset compounds visibility and automation together — here's the difference in numbers.
Want content like this working for you?
This is the content engine, dog-fooded. Point it at your business.