---
id: "action-conduct-prompt-audit"
type: "action-item"
source_timestamps: ["¶7"]
tags: ["audit", "measurement", "baseline"]
related: ["framework-ai-brand-optimization", "concept-answer-engine-optimization", "entity-chatgpt", "entity-perplexity"]
action: "Run repetitive prompts across multiple AI platforms to evaluate brand visibility, accuracy, and referral traffic."
outcome: "Establishes a measurable baseline for your brand's current performance in AI search."
sources: ["geo"]
sourceVaultSlug: "hbr-seg-geo"
originDay: 3
articleStem: "hbr-ext-12-brand-optimized-ai-search"
sourceUrl: "https://hbr.org/2025/09/is-your-brand-optimized-for-ai-search"
sourceTitle: "Is Your Brand Optimized for AI Search?"
---
# Conduct a Prompt-Based Brand Audit

# Action: Conduct a Prompt-Based Brand Audit

**Do:** Run a series of prompts *repeatedly* across a wide array of AI platforms ([[entity-chatgpt-d12]], [[entity-perplexity-d12]], etc.) to establish a baseline of how your brand appears.

Specifically evaluate:

- The **reliability and depth** of the information provided.
- Whether your **logo appears**.
- Whether there is a **link back to your site**.
- The **inbound referral traffic** coming from LLMs.

**Outcome:** establishes a measurable baseline for your brand's current performance in AI search.

This is **Step 1** of [[framework-ai-brand-optimization]] and the empirical counterweight to the black-box tactics in [[action-probe-ai-models]] / [[contrarian-use-ai-to-probe-ai]].

**Enrichment:** strongly supported — external guides recommend prompting AI tools with target questions, checking citations, tracking visibility over time, and comparing against competitors. Add: measure alongside clicks, assisted conversions, and branded-search lift, since **answer inclusion ≠ brand success**.


## Related across articles
- [[action-measure-som]]
- [[action-monitor-agent-ecosystems]]
- [[concept-recursive-ai-probing]]