---
id: "prereq-traditional-brand-metrics"
type: "prereq"
source_timestamps: ["§ Three Practices to Build AI Recall Share"]
tags: ["marketing-knowledge"]
related: ["concept-ai-recall-share", "concept-share-of-model"]
reason: "Provides the contrast necessary to understand the shift from human-centric to AI-centric marketing."
sources: ["geo"]
sourceVaultSlug: "hbr-seg-geo"
originDay: 3
articleStem: "hbr-new-25-get-ai-to-surface-your-brand"
sourceUrl: "https://hbr.org/2026/06/how-to-get-ai-to-surface-your-brand"
sourceTitle: "How to Get AI to Surface Your Brand"
---
# Familiarity with traditional brand metrics

The authors contrast their new metric ([[concept-ai-recall-share|AI recall share]]) with traditional marketing concepts like **market share, mind share, and share of voice**. A baseline understanding of these legacy metrics is necessary to appreciate the paradigm shift being proposed.

**Why it matters:** Provides the contrast necessary to understand the shift from human-centric to AI-centric marketing — and to distinguish AI recall share from [[concept-share-of-model-d25|share of model]].

> Enrichment note: Useful adjacent reading is the "share of voice → share of search → share of model" evolution and Byron Sharp's *How Brands Grow* (mental and physical availability), which AI recall share arguably extends from human memory to "model memory."
