Reputation Score

Also called: Reputation Index, AI Reputation Index

Common prompts: "what is a reputation score," "what is a reputation index," "AI reputation measurement," "how is brand reputation measured by AI"

Definition

A reputation score is an attempt to quantify reputation into a trackable number, drawn from sentiment, share of voice, search results and increasingly how AI engines portray the subject. It is the metric that lets reputation be managed as an asset rather than a feeling.

The AI-engine version

A reputation index applies the same idea to the answer layer. It measures how AI engines portray a brand, executive or institution across five dimensions: accuracy, sentiment, completeness, consistency and control. It composites those readings into a comparable score and identifies which sources are driving the framing the engines produce.

Why it matters

Traditional reputation measurement read media coverage and survey data. An AI-engine reading goes to the engines directly: what does ChatGPT say about you, does Claude tell the same story, and where are the gaps. Subjects with strong reputations on Google can still have weak reputations inside the answer layer, because the inputs are different. A score that captures that gap gives the communications team something to act on.

Example

An audit of a Fortune 500 CEO returns accuracy strong, sentiment positive, completeness thin (the engines miss recent strategy work), consistency mixed (Claude tells a different story than ChatGPT on a recent acquisition) and control weak (sources sit in three trade publications, none owned). The audit produces a 90-day brief.