---
id: "action-identify-job-to-be-done"
type: "action-item"
source_timestamps: ["§ Probing the human-AI brand awareness gap"]
source_url: "https://hbr.org/2025/06/forget-what-you-know-about-seo-heres-how-to-optimize-your-brand-for-llms"
source_title: "Forget What You Know About Search. Optimize Your Brand for LLMs."
tags: ["content-strategy", "positioning"]
related: ["concept-resolution-optimization"]
action: "Identify the specific 'job to be done' and explicitly link product features to those user needs."
outcome: "Content that aligns with LLM resolution-seeking behavior, increasing recommendation rates."
sources: ["geo"]
sourceVaultSlug: "hbr-seg-geo"
originDay: 3
articleStem: "hbr-ext-10-optimize-brand-for-llms"
sourceUrl: "https://hbr.org/2025/06/forget-what-you-know-about-seo-heres-how-to-optimize-your-brand-for-llms"
sourceTitle: "Forget What You Know About Search. Optimize Your Brand for LLMs."
---
# Identify and articulate the 'job to be done'

**Action:** Because LLMs optimize for [[concept-resolution-optimization|resolution]], clearly identify the specific consumer problems your product solves and **explicitly link the product to those broader contexts, use cases, and user needs** — rather than just listing features in isolation.

**Expected outcome:** Content that aligns with LLM resolution-seeking behavior, increasing recommendation rates.

**Enrichment:** This maps to AEO's 'entity salience' — models reward content that clearly ties a brand to specific problems and solutions. Pair the job-to-be-done articulation with concrete examples and anticipated follow-up questions; it is the demand-side complement to supplying [[action-provide-proof-of-expertise|structured proof of expertise]].