---
id: "action-shift-to-evidentiary-structure"
type: "action-item"
source_timestamps: ["§ Three Practices to Build AI Recall Share"]
tags: ["brand-strategy"]
related: ["framework-build-ai-recall-share", "contrarian-storytelling-ineffective"]
action: "Reduce reliance on emotional storytelling and increase focus on verifiable problem-solution evidence."
outcome: "Closes the gap between traditional brand strength and AI retrieval rates."
speakers: ["John Gale", "Luca Cian", "Luc Wathieu"]
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"
---
# Shift from symbolic appeal to evidentiary structure

Reduce reliance on emotional positioning, lifestyle associations, and broad narratives in brand campaigns. While these build **human** preference, they do not translate into AI retrieval (see [[contrarian-storytelling-ineffective|Brand storytelling is ineffective for AI discovery]]). Reallocate budget and focus toward strengthening the verifiable evidence that connects the brand to specific user problems.

- **Action:** Reduce reliance on emotional storytelling and increase focus on verifiable problem-solution evidence.
- **Outcome:** Closes the gap between traditional brand strength and AI retrieval rates.

Implements practice #3 of [[framework-build-ai-recall-share|Three Practices to Build AI Recall Share]]. Caveat from enrichment: storytelling still drives the *queries* and *social proof* that feed algorithms, so "shift" means rebalance, not abandon.