Measurement

Prompt volume and keyword search volume differ in source, unit, and method. This guide compares the published methods of Profound, Semrush, and Similarweb, lays out a 5-step process for using GEO tool numbers as a prioritization input, and flags what to watch in the Korean market.

When ChatGPT and Google AI Overviews describe a brand in negative terms, the fix runs through metrics and a repeatable process. This page covers the net sentiment score formula, negative mention rates by engine, the distribution of what triggers negative tone, what each measurement tool publishes, and a four-step method for swapping the evidence layer.

Why the same brand scores differently in every AI visibility tool, split into four layers (engine variance, collection design, metric definition, aggregation), with a side-by-side table of the published formulas from Profound, Peec AI, and Ahrefs, sample-size confidence interval thresholds, and a six-step verification procedure.

On June 3, 2026, Google added Generative AI performance reports to Search Console. They are the first official tool to measure URL impressions inside AI Overviews, AI Mode, and Discover: here we break down the measurement limits, the opt-out toggle, and the AEO strategy.

Why every engine answers differently, the trap of single-engine measurement, and a multi-engine GEO methodology for measuring AI visibility through prompt sets, repetition, and share of voice.