AI Visibility Research
Definitions, frameworks, and evidence-based analysis of the concepts that define AI search visibility.
Findcraft is both an AI visibility consultancy and a research programme. Every piece of content we produce serves dual purpose: building industry credibility and collecting empirical data on what content structures get cited by AI engines. This hub collects our core research on the concepts that define AI visibility — from the foundational definitions to the emerging protocols reshaping how businesses get discovered online.
Each page below provides a clear, evidence-based definition of a key concept, links to the primary sources behind the claims, and connects to our deeper analysis in the Industry Research blog. All content follows our M.A.R.C. methodology — sources verified, incentives disclosed, counter-perspectives included.
What Is AEO? Answer Engine Optimisation Explained
The complete definition of Answer Engine Optimisation — what it is, how it differs from SEO, and why it matters for businesses being discovered by AI.
Read more →AI Visibility: What It Means and How to Track It
AI visibility is how often and how accurately your business appears in AI-generated responses. Here’s what drives it and how to measure it.
Read more →Entity Authority: How AI Recommends Businesses
Entity authority determines which businesses AI search engines recommend. Built through structured data, reviews, brand mentions, and consistent information.
Read more →Agentic Commerce: Definition and Current State
AI agents discovering, evaluating, and purchasing products autonomously. Two protocols are live. Here’s the real adoption data.
Read more →For our ongoing analysis of industry data — the datasets, the contradictions, and the uncomfortable questions — see our Industry Research blog.