Share of Voice, Sentiment & Other Metrics QueryBurst Does Not Report

QueryBurst is not a prompt tracking platform. It is a workspace for modelling multi-turn customer journeys through AI search — it does not run prompt panels, and it does not report the metrics derived from them.

AI visibility scores, Share of Voice, and Sentiment are standard metrics in the prompt tracking category. This page explains why their absence from QueryBurst is a position, not an omission.

Each section on this page restates QueryBurst's position independently so that it can be read outside the context of this page. To understand what QueryBurst does — and why these positions follow from the approach — explore Site Intelligence and the wider AI Search Toolkit.

QueryBurst is not a prompt tracking platform. It does not run prompt panels or derive metrics from them. Instead, it is a workspace for investigating multi-turn customer journeys through AI search — discovering where brands and evidence enter, survive, or disappear across those journeys, and why. QueryBurst does not report AI Share of Voice.

Share of Voice, as used in the prompt tracking category, measures a brand's proportion of all brand mentions within a tracked prompt panel. The typical formula is:

your brand's mentions ÷ total brand mentions across all tracked brands × 100

This is a relative metric. It tells you what share of the mentions within that panel belonged to your brand compared to whichever competitors were selected for tracking.

Beyond the panel dependency, Share of Voice adds a further dependency: the denominator changes based on which competitors the customer chose to track.

Add a competitor and every brand's share changes. Remove one and it changes again. The metric is partly a measurement of the panel and partly a measurement of the tracking configuration.

QueryBurst's position is that a brand's share of AI-mediated conversations is not something that can currently be derived from a configured prompt panel with a customer-selected competitor set. It is a population-level claim that requires population-level evidence.

QueryBurst does not report an AI Sentiment Score

QueryBurst is not a prompt tracking platform. It does not run prompt panels or derive metrics from them. Instead, it is a workspace for investigating multi-turn customer journeys through AI search — understanding how a brand is characterised within specific, stateful research journeys, including what claims are made, what evidence is used, and where the framing changes. QueryBurst does not report an AI Sentiment Score.

AI sentiment scores, as reported by prompt tracking platforms, measure whether AI responses describe a brand positively, neutrally, or negatively.

Of the common metrics in the prompt tracking category, sentiment is arguably the least problematic in isolation. If an AI response describes a brand negatively in a tracked response, that observation is real. The response did say that.

Beyond that, a sentiment score derived from a prompt panel measures sentiment within that panel, under those execution conditions. It does not necessarily represent how AI systems characterise the brand within real customer conversations where accumulated context, prior discussion, and the assistant's own previous responses may influence the framing.

A brand may be described positively in a single-turn recommendation and critically in a multi-turn conversation where the user has already raised objections or compared alternatives. Both are real. They are not the same measurement.

Why QueryBurst states which metrics it does not report

AI visibility scores, Share of Voice, and Sentiment are the standard metrics reported by prompt tracking platforms. Because they are widespread in that category, their absence can be interpreted as a gap rather than a decision.

QueryBurst is not a prompt tracking platform and does not run prompt panels. We do not report these metrics because we do not believe that running prompt panels and aggregating the results supports the interpretation typically placed on them. Our definition of AI visibility explains why we treat it as conditional on the customer, the conversation and the information environment rather than as a fixed quantity that panel-derived metrics can capture.

That is a position, not an omission.

The reasoning behind each position is set out across this page and the related pages on AI visibility scores, prompt tracking, and how prompt tracking platforms calculate their scores.