---
id: "concept-costs-of-eligibility"
type: "concept"
source_timestamps: ["§ A Shift in How Value is Created"]
tags: ["unit-economics", "marketing-budget"]
related: ["concept-machine-readable-trust", "claim-performance-marketing-disruption"]
definition: "The investments required to improve data quality, operational reliability, and policy clarity to ensure a brand is selected by an AI agent."
sources: ["geo"]
sourceVaultSlug: "hbr-seg-geo"
originDay: 3
articleStem: "hbr-ext-15-china-ai-agents-commerce"
sourceUrl: "https://hbr.org/2026/04/research-what-chinas-ai-agents-reveal-about-the-future-of-commerce"
sourceTitle: "Research: What China’s AI Agents Reveal About the Future of Commerce"
---
# Costs of Eligibility

## Definition
In the era of [[concept-agentic-commerce-d15]], traditional **Customer Acquisition Costs (CAC)** tied to click-driven funnels and traffic acquisition are expected to fall in certain channels. But those costs do not disappear — they are **replaced** by new "costs of eligibility."

## What the new costs buy
Costs of eligibility are the investments required to ensure a brand is selected by an AI agent, including capital spent on:
- improving **data quality**,
- ensuring **operational reliability**,
- clarifying **policies**,
- gaining **access to agent-controlled distribution networks**.

## The budget migration
This represents a shift in marketing budgets from **front-end persuasion** (ads, SEO) to **back-end operational excellence and data structuring** — the raw material of [[concept-machine-readable-trust]]. It is the economic counterpart to [[claim-performance-marketing-disruption]]: the same dollar moves from buying attention to buying agent-eligibility.

> Enrichment: this reframes performance marketing spend rather than eliminating it — the likely path is evolution toward agent-facing optimization, structured-data distribution, and trust-signaling.


## Related across articles
- [[concept-machine-readable-trust]]
- [[concept-agent-shelf]]
- [[claim-operational-excellence-as-growth]]