Insights
Field notes on AI answer engine optimization.
Practical, operator-to-operator writing on measuring, attributing, and acting on AI search. No fluff, no invented stats, no vendor bingo.
Buyer Behavior · 8 min
What buyers actually ask AI engines before they book a demo
B2B buyers use AI engines to build the map. They use your website to confirm it. Here is what they actually ask.
Jul 5, 2026
Measurement · 9 min
The 100-prompt battery: designing a repeatable AEO measurement system
Everything downstream in AEO depends on the prompt battery. Get the battery wrong and everything else is precisely wrong.
Jul 4, 2026
Attribution · 8 min
AI-attributed pipeline: closing the loop from Perplexity mention to closed-won
AI-attributed pipeline is not a claim about causation. It is a defensible join between mention windows and CRM first-touch, in dollars.
Jul 3, 2026
Measurement · 9 min
How to measure share of voice in ChatGPT, Perplexity and Google AI Overviews
Share of voice in AI search is prompts-mentioned divided by prompts-run, weighted by prominence. Here is the working setup.
Jul 2, 2026
AEO Strategy · 8 min
AI answer engine optimization: the RevOps playbook for 2026
AEO is a RevOps problem, not a marketing side project. Three loops, one operating model, and a 90-day rollout for 2026.
Jul 1, 2026