---
id: "framework-ai-brand-diagnostic"
type: "framework"
source_timestamps: ["§ Start with a Simple Diagnostic"]
tags: ["audit", "diagnostic"]
related: ["action-audit-attributes", "action-map-third-party-evidence", "action-invest-in-problem-literacy"]
steps: ["Query major AI platforms with category and problem-specific prompts.", "\\\"Audit brand attribute structure for measurable", "comparable features.\\\"", "Map third-party evidence to identify gaps in independent validation.", "Assess and invest in shaping customer problem literacy."]
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"
---
# Simple Diagnostic for AI Brand Interpretability

A **four-step diagnostic** process for brands to assess their current standing in AI-mediated discovery and identify gaps in their interpretability.

1. **Query Major Platforms** — Prompt ChatGPT, Claude, and Gemini with category-level *and* problem-specific queries. Note whether your brand appears, how it is framed, and whether the framing is consistent.
2. **Audit Attribute Structure** — Determine whether a customer (or an AI) can name **three measurable, comparable features** of your product that connect to specific user needs. If not, close this gap. → [[action-audit-attributes|action]]
3. **Map Third-Party Evidence** — Identify which independent voices (reviewers, experts, clinicians) describe your product using its key attributes, and locate where the gaps in validation exist. → [[action-map-third-party-evidence|action]]
4. **Assess Problem Literacy** — Consider the vocabulary customers use to describe their problems and actively invest in shaping and spreading those specific terms through expert communities. → [[action-invest-in-problem-literacy|action]]

This diagnostic surfaces gaps against [[framework-interpretability-elements|The Three Elements of Brand Interpretability]] and feeds directly into [[framework-build-ai-recall-share|Three Practices to Build AI Recall Share]].