Entity Confidence

Entity Confidence describes the degree of certainty a knowledge system holds about an entity's attributes, and it is the metric this book optimises throughout.

The term was coined by Peter Victor Jones, one of this book's authors, and is used across entity SEO and AI visibility work.

The underlying idea, a certainty score attached to a stored fact, is standard in knowledge representation.

A ranking is a position for a query. Entity Confidence is a property of a record, and it applies whether or not anyone searched.

Authority is usually scored per domain. Confidence is scored per entity and per attribute, so a business can be confidently identified and vaguely described at the same time.

The book treats it as the thing everything else is in service of, and is honest that it cannot be read off a dashboard: you measure its shadows, monthly, with discipline. Its measurement rule is that single answers are weather and the trajectory is climate, and climate is what you are changing. Chapter 16 goes further, arguing confidence behaves like a market, technically rather than decoratively: a continuous score rather than a switch, trending rather than jumping, with real support levels and a threshold nobody outside Google can see.

Read about the book's argument.