The ECHO Framework

Glossary term 12 of 33

Entity Confidence

The measurable degree of certainty a search or AI system assigns to the identity of your brand as a single, disambiguated, real-world entity, built from the consistency, structure and corroboration of the facts it can find about you across the sources it trusts.

What does Entity Confidence mean?

The measurable degree of certainty a search or AI system assigns to the identity of your brand as a single, disambiguated, real-world entity, built from the consistency, structure and corroboration of the facts it can find about you across the sources it trusts.

Quoted without alteration from the glossary of ECHO: How to Make AI Recommend Your Brand.

Entity Confidence is one of three terms the book identifies as Peter Victor Jones's own coinage rather than established industry or research vocabulary. The book is explicit about the distinction, because the research outlasts any platform's behaviour and a framework metric should not be presented as a settled standard.

Which ECHO pillar does Entity Confidence belong to?

Entity Confidence belongs to Entity, pillar 1 of the ECHO framework. Does the machine know who you are?

The first ECHO pillar, and the machine's unit of understanding. A single, identifiable real-world thing with attributes and relationships, as opposed to a website, which is a collection of pages.

If the machine does not know you exist, the problem is Entity. It is built in part 2: entity, across chapter 3 and chapter 4.

  • The digital property you own and control where every core fact about your business is stated clearly, structured for machine readability, and kept current.

  • Establishing which of several possible referents a name points to.

  • The first ECHO pillar, and the machine's unit of understanding.

  • The set of web pages and data points that reference a business, with the entity home at its centre.

  • The specific page from which search and AI systems learn your identity, attributes and values.

  • A structured store of entities and the relationships between them.

  • The public-facing surface of a knowledge graph entry.

  • Name, address, phone: the core identity data for a local business.

  • A schema.org property that links an entity's canonical page to its other identity points across the web.

  • Structured data added to a page in a vocabulary machines already parse, stating facts explicitly rather than leaving them to be inferred from prose.

  • Facts published in machine-readable form, so a system can extract them without interpretation.

Nearby in the glossary

The glossary runs alphabetically. Entity cluster comes before Entity Confidence and Entity home after it.