Field notes Research, essays, and reports from the practice

The Blog.

Original research on how AI engines pick which brands to surface — and the methodology we use to engineer that outcome for our clients.

How to Repurpose Existing Content for AI Search

Most content teams already have a library of published pages that contain useful information, research, and expertise. The challenge is that many…

Search Everywhere Optimization: Visibility Beyond Google

Search Everywhere Optimization is the practice of building brand visibility across every platform where an audience searches, not just Google. It applies…

The AEO Maturity Model: Four Stages of AI Trust

AI visibility is a maturity journey rather than a single achievement. Brands progress through recognizable stages as AI answer engines build confidence…

Building a Combined SEO + AEO Reporting Dashboard in Looker Studio

The combined SEO and AEO dashboard is a single Looker Studio report that unifies organic search data from GA4 and Google Search…

Featured Snippets vs AI Citations: What Happened to Position Zero

Position zero didn’t disappear. It split into a citation model.For years, winning a featured snippet meant one thing. Your page became the…

Critical Fixes for JavaScript Rendering Issues in 2026

Modern websites often rely on JavaScript to create dynamic and interactive experiences.  JavaScript rendering plays a critical role in determining how easily…

What to Do When AI Gets Your Brand Wrong

Ask ChatGPT or Gemini about your company, and you might get a flat-out wrong answer, the wrong industry, a competitor’s product listed…

How to Run a Content Audit for AEO

AI search does not evaluate content the same way traditional search engines do. Instead of only looking at rankings or keywords, AI…

Is AEO Worth It? Building the Business Case for AI Visibility

AEO is worth evaluating because AI-powered search is changing how people discover brands, compare solutions, and make purchase decisions. As AI assistants…