Questions about ECHO

ECHO is a four-pillar framework for making AI answer engines recommend a brand, set out by Peter Victor Jones in the book ECHO: How to Make AI Recommend Your Brand. The four pillars are Entity, Corroboration, Hooks and Output, and the book presents them as the four prerequisites every answer engine imposes before it will name a brand in an answer.

Entity, Corroboration, Hooks and Output. Entity is whether the machine knows who you are. Corroboration is whether it trusts what it knows. Hooks are whether it finds your content when a relevant question is asked. Output is whether you can tell if any of it is working.

The order is a dependency chain rather than a preference. The book states that corroboration has nothing to confirm until an entity exists to be confirmed, that hooks are content a machine will not retrieve if it does not yet trust the source, and that measurement tells you very little when the thing being measured has not been built. Most failed AI visibility work starts in the middle, usually at content.

Peter Victor Jones wrote ECHO. He has worked in search since 2008, building organic and paid lead generation systems, and is the originator of the ECHO framework and of the Entity Confidence and Share of Answer metrics.

ECHO is written for business owners, marketing directors and practitioners who need to understand what has changed in search, why it matters and what to do about it. It assumes no prior knowledge of entity resolution or retrieval, and it is arranged in the order the work has to happen.

Share of Answer is ECHO's primary output metric: across the queries that matter to a business, the percentage of AI-generated responses in which the brand appears. It measures presence rather than position, because within a generated answer there is no position two. The book states plainly that it is a proposed framework metric rather than an industry standard.

Entity Confidence is the measurable degree of certainty a search or AI system assigns to the identity of a brand as a single, disambiguated, real-world entity. It is built from the consistency, structure and corroboration of the facts a system can find across the sources it trusts. It is one of the author's own coinages.

ECHO is not a rebrand of SEO. Traditional SEO argues about which link deserves which position in a ranked list. ECHO addresses a different question: whether a brand appears inside a generated answer at all, which the book frames as a retrieval and trust problem rather than a ranking one. The two overlap in practice, and the book treats strong traditional SEO as neither sufficient nor irrelevant.

Yes. Chapter 3, Becoming a Recognisable Entity (Not Just a Website), is published here in full and free. It is the chapter that defines what an entity means to a machine, and it sits at the start of the Entity pillar.

ECHO is not on sale yet. No retail listing, ISBN or publication date has been confirmed, and this site does not carry a purchase link for a book that cannot be bought. Availability will be published here first.