We look at Ahrefs Brand Radar's prompt database modelled from search data and Recro's persona-based decision simulation, and at why the questions that drive B2B sales don't show up on volume lists.

We compare Peec AI's prompt-based AI search analytics with Recro's persona-based decision simulation, through the input that really sets measurement quality: where the question comes from.

We look at Otterly.AI's AI search monitoring and Recro's decision simulation through who reads the dashboard, how answers are verified and how a finding becomes action.

We look at Profound, the enterprise AI visibility platform, and Recro's decision simulation through who each is designed for and how close each gets to the B2B buying decision.

We compare Semrush's AI visibility module with Recro's decision simulation by where the questions come from, whose behaviour is measured and which decision the result supports.

Using Recro simulation findings, we look at how a brand that looks strong in AI answers weakens in trust and validation questions when its proof lives only on its own website.

We look at the questions a corporate marketing director asks AI when choosing an agency, the proof that wins those questions and simulation findings for an agency that was never mentioned.

Using Recro simulation findings, we look at how the AI answer and the dominant competitor change by decision-maker within the same category, and why measurement should start with key people.

Using Recro simulation findings, we look at the topics where AI says “no public information is available”, how that gap turns into a comparative minus and why the first brand to publish gains the edge.

We set out seven questions to ask when evaluating an AI visibility service or tool, and why each one matters, using findings from Recro's own simulations.