---
id: "framework-marketing-response"
type: "framework"
source_timestamps: ["§ What Marketing Leaders Should Do Now"]
tags: ["leadership", "strategy", "change-management"]
related: ["action-audit-search", "action-build-geo-expertise", "action-double-down-community", "action-prepare-ai-customers", "action-rethink-content-dual"]
steps: ["Audit your exposure to the search revolution (assess dependence on click-through traffic).", "Build expertise in generative engine optimization (GEO) by experimenting with structured content.", "\\\"Double down on what AI can't easily replicate (community", "emotional connection", "experience).\\\"", "Prepare for AI customers by determining what structured data algorithms need to evaluate your products.", "\\\"Watch the research closely", "as academic and analyst findings are evolving rapidly.\\\"", "Rethink content strategy for a dual audience (human readers and AI processors).", "\\\"Treat this as a leadership issue requiring cross-functional coordination (tech", "content", "product", "CX)", "not just a marketing department problem.\\\""]
sources: ["geo"]
sourceVaultSlug: "hbr-seg-geo"
originDay: 3
articleStem: "hbr-ext-13-ai-upending-marketing"
sourceUrl: "https://hbr.org/2026/02/ai-is-upending-marketing-on-two-fronts"
sourceTitle: "AI Is Upending Marketing on Two Fronts"
---
# 7-Step Response to AI Marketing Revolutions

The author proposes a strategic checklist for marketing leaders to navigate the **dual revolutions** of conversational-AI search and machine customers. It emphasizes moving from passive observation to active architectural and strategic realignment, treating the shift as an **executive-level integration** rather than a siloed marketing task.

**The 7 steps:**

1. **Audit your exposure to the search revolution** — assess dependence on click-through traffic → operationalized by [[action-audit-search]].
2. **Build expertise in Generative Engine Optimization ([[concept-geo]])** — experiment with structured content → [[action-build-geo-expertise]].
3. **Double down on what AI can't easily replicate** — community, emotional connection, experience → [[action-double-down-community]] (grounded in [[concept-information-vs-community-moat]]).
4. **Prepare for AI customers** — determine what structured data algorithms need to evaluate your products → [[action-prepare-ai-customers]] (grounded in [[concept-machine-customer-first]]).
5. **Watch the research closely** — academic and analyst findings are evolving rapidly (see open questions [[question-geo-rules]] and [[question-optimizing-conflicting-biases]]).
6. **Rethink content strategy for a dual audience** — human readers and AI processors → [[action-rethink-content-dual]].
7. **Treat this as a leadership issue** — requiring cross-functional coordination (tech, content, product, CX), not just a marketing-department problem.

**Enrichment framing:** Steps 2–4 are strongly supported by platform guidance (Google, Semrush, Microsoft). Counter-perspectives caution that GEO is an *extension* of SEO fundamentals, not a replacement, so Step 2 should not mean abandoning technical SEO.