AI Visibility Research
Every study here is run on a public sample and published with its method, its sample size, and the limits of what it can show. The benchmarks measure technical eligibility — whether a site is crawlable, readable, and unambiguous enough to be quoted — not rankings, traffic, or actual inclusion in AI-generated answers. Those are separate claims and we keep them separate.
Samples are European and industry-scoped, and each study names its scope so you can judge whether a finding transfers to your site. Where a signal was scored by a human, the codebook and the reviewer agreement are stated. Where a number would have required a guess, it is not reported.
Beyond Eligibility: Entity Clarity and Evidence Gaps on 1,005 EU HVACR Websites
A public-web benchmark of 1,005 Layer-1-clean EU HVACR sites measuring how clearly each site shows the company behind it, what it offers, where it operates and what proves its experience.
Before Ranking: Technical Eligibility Barriers on 1,353 EU HVACR Websites
A public-web benchmark of 1,353 EU HVACR sites measuring technical eligibility risks for crawling, indexing, rendering, snippets and language routing.
AI Visibility Outlook 2026 H1: Why This Is Now an Operating Discipline
AI visibility in 2026 H1 is moving from one-off optimisation to an operating discipline: how search is changing, which signals are getting stronger, and what this means for business.