Browsing Category Agentic Commerce

What the AI Purchase Channel does NOT reward

The AI Purchase Channel does not reward the marketing tactics that worked in display, search, social, and shelf. It is a recommendation surface with two readers in one interaction — the human, who reads emotionally, and the AI, which reads literally — and the work that buys position in it is different in kind. This essay names the seven tactics most often reallocated to this channel that do nothing, why each fails mechanically, and what each line item should be replaced with instead

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Why new brands win the AI Purchase Channel

The AI Purchase Channel rewards three things: specificity, memory, and being right. New brands are built around exactly one — themselves, for one customer, said precisely. Giants are built around the opposite — many things, for many customers, said elastically. For the first time in twenty years, scale is a structural disadvantage in a major buying channel.

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Narrative Accuracy vs Share of Voice in the AI Purchase Channel

Narrative Accuracy is the degree to which an AI assistant’s claims about your brand — its ingredients, its positioning, its price point, its persona, its provenance — are true to your owned positioning. It is the closest measurable proxy for brand value in the AI Purchase Channel — and it is what share-of-voice metrics, inherited from PR measurement, were never built to detect

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The AI Purchase Channel: A Field Guide

The AI Purchase Channel is the new buying channel where shoppers – humans assisted by AI agents OR AI agents without human intervention – complete the shopping journey. It is conversational, opinionated by default, personalised through assistant memory, and structurally distinct from search and regular marketplaces. It is being run on borrowed instruments and inherited assumptions. This field guide is a map for the operator running it as a channel for the first time.

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Purchase Likelihood vs Visibility and Ranking: which metric the AI Purchase Channel actually rewards

Purchase Likelihood is the probability that, in the AI Purchase Channel, an AI assistant recommends your brand to a real shopper for a real query. It is per-persona, per-platform, per-scenario. It is the closest measurable proxy for revenue from the channel — and it is what visibility and ranking metrics, inherited from search, were never built to measure.

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