---
id: "contrarian-visibility-vs-persuasion"
type: "contrarian-insight"
source_timestamps: ["§ Decades of Marketing Science Built for a Different Customer"]
tags: ["seo", "marketing-tactics", "contrarian"]
related: ["concept-ai-engine-optimization", "concept-bnn-vs-ann"]
speakers: ["Kartik Hosanagar"]
challenges: "The belief that structuring data for AI crawlers (AEO) is the complete solution to AI-era marketing."
sources: ["geo"]
sourceVaultSlug: "hbr-seg-geo"
originDay: 3
articleStem: "hbr-tier2-05-market-to-ai-customer"
sourceUrl: "https://hbr.org/2026/06/how-do-you-market-to-an-ai-customer"
sourceTitle: "How Do You Market to an AI Customer?"
---
# AEO is insufficient because AI decides, not just filters

**Contrarian insight.** The emerging digital-marketing consensus says brands must pivot from SEO to **AEO** ([[concept-ai-engine-optimization|AI Engine Optimization]]) by making data structured and crawlable. [[entity-kartik-hosanagar]] challenges this: **AEO only solves for visibility.** Because AI agents are **decision-makers**, not just search engines presenting links to humans, being seen is not enough — marketers must figure out how to *persuade* the agent, whose decision logic ([[concept-bnn-vs-ann|ANN]]) doesn't match human triggers.

**Challenges:** the belief that structuring data for AI crawlers (AEO) is the complete solution to AI-era marketing. The forward move is [[action-develop-ai-persuasion]].

*Enrichment note:* practitioners already distinguish **being in the consideration set** (AEO/visibility) from **being selected** (persuasion/agent-decision optimization), so the distinction is well grounded. But **traditional signals aren't wholly irrelevant** — underlying product-detail structure, reviews, and performance metrics still feed the agent's decision logic even when fewer humans visit the page. Read AEO as *necessary-but-not-sufficient*, not obsolete.