---
id: "action-prepare-ai-customers"
type: "action-item"
source_timestamps: ["§ What Marketing Leaders Should Do Now", "§ Designing for Machine Customers"]
tags: ["web-infrastructure", "ai-agents"]
related: ["concept-machine-customer-first", "framework-marketing-response", "prereq-structured-data"]
action: "Expose product data, pricing, and availability in structured formats optimized for algorithmic evaluation."
outcome: "Readiness to capture sales from autonomous AI agents acting as purchasers."
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"
---
# Prepare Web Infrastructure for AI Customers

**Action:** Retrofit web architecture so that product information, pricing, availability, and value propositions are exposed in **dense, structured data formats** ([[prereq-structured-data]]) that algorithms can easily parse, evaluate, and weight — without needing to simulate human visual browsing.

**Outcome:** Readiness to capture sales from autonomous AI agents acting as purchasers.

This is **Step 4** of [[framework-marketing-response]] and the concrete build behind [[concept-machine-customer-first]]. Platform guidance (Google agentic experiences, Semrush/Microsoft machine-readable catalogs) strongly supports this direction.


## Related across articles
- [[action-structure-machine-readable-data]]
- [[action-structure-content-machines]]
- [[concept-machine-customer-first]]