Editorial Board

The measurement conversation in AI search has stalled at the wrong question. And the budget consequences of that are about to become visible. Over the past eighteen months, a category of platforms has emerged to help brands understand their position in AI-generated responses. Citation volume. Mention rate. Share of

Many leaders are celebrating high brand health metrics while silently losing the battle for the actual purchase. Here is the breakdown of the phenomenon currently reshaping the commerce landscape: The Brand vs. SKU Paradox Traditional search and social media often reward broad brand authority. However, in the age of Agentic

Profound published a 3,000 word comparison of itself against AthenaHQ this week. It is the wrong comparison. Here is the gap both platforms share. There is a turn in every AI buying conversation that the entire GEO and AEO category has collectively decided not to measure. It happens when

A peer-archived study of five major brands reveals a structural gap between AI visibility and AI purchase recommendation outcomes The GEO and AEO category was founded on a correct insight. Traditional search metrics don't measure brand performance in AI-generated responses. Citation frequency, share of AI voice,

When a mass market brand loses the AI recommendation, it is usually a content architecture problem - the model can't find the structured evidence it needs to pass the criteria filter. Fix the evidence layer, improve the position. For luxury brands the problem runs deeper. The brand equity that

The channel is now accessible to the buyers who care most about attribution. The measurement infrastructure they need is not there yet. ChatGPT advertising launched in February 2026 as an enterprise CPM product. Ten weeks later it has a self-serve ads manager, CPMs down from $60 to $25, minimum