The AI Knowledge Hub

Practical, jargon-free guides on AI strategy, audits, ROI, and implementation. Written for business leaders who want clear answers, not hype.

Start here: understand, check, improve

Three routes through the material, depending on where you are.

The five terms, defined

Short, quotable definitions of the terms used across this site. Same wording everywhere, so there is no ambiguity about what we mean.

AI audit
An AI audit is a structured review of how a business works today, identifying which repetitive, rules-based processes AI could safely improve, what it would cost, and what must be fixed before any tool is bought. Read more
AI visibility
AI visibility is whether a business is named, described accurately and cited when ChatGPT, Claude, Perplexity or Google AI Overviews answer the questions its buyers ask. It is measured by testing a fixed prompt set, not by rankings. Read more
AEO
Answer Engine Optimisation, or AEO, is the practice of structuring a website so AI answer engines can extract, understand and cite its content. It shares foundations with SEO, but the goal is citation rather than a ranking position. Read more
Share of Voice
Share of Voice in AI search is the proportion of a tested prompt set in which a brand is named, compared with its competitors. It shows how often an engine reaches for you rather than someone else. Read more
Agentic readiness
Agentic readiness is how prepared a business is for AI agents that act rather than advise. It covers documented processes, clean data, machine-readable pages, defined permissions and human checkpoints on anything with a financial or legal consequence. Read more

Questions People Actually Ask

Getting Started

Generative Engine Optimisation (GEO / AEO)

Frameworks and Strategy