AI Search

LLMs recommend entities, not pages. How brands become retrievable, trusted entities in AI systems — schema, consistency, corroboration — with our own implementation as the working example.

Step-by-step GA4 setup for measuring AI-referred traffic: referrer patterns for ChatGPT, Perplexity, Copilot and Gemini, custom channel groups, the AI Overviews measurement gap, and value-per-visit reporting.

AI Overviews vs AI Mode, precisely: how each retrieves and cites, what each does to traffic, where the optimisation overlaps and the quarter-by-quarter response plan.

AI Mode answers by query fan-out and cites a handful of sources per answer. How selection works, the passage-and-entity optimisation layer that earns citations, and how to measure visibility inside the answer.

The patterns behind which sources AI engines cite — and a practical plan to earn citations and visibility.

How to become the brand ChatGPT and AI assistants recommend in your category — a practical guide.

How AI search differs from traditional SEO, what’s genuinely changed, and what stays the same.