Marketing to the Customer Behind Your Customer
As AI agents start negotiating and buying on consumers' behalf, brands need to encode their value into data a bot (and algorithm) can trust.
Written by Morgan Johnson, Partner and CXO
The future is unfolding a hand‑off between brands and the audiences they want to attract. It’s not another social platform or a new ad format; it's of course AI. The autonomous, quickly learning, and increasingly trusted toolset soon to spend money on our behalf. Siri booking a haircut or Alexa re‑ordering dog food were warm‑ups. The next act is full‑service AI agents that know our budgets, our taste for exploration, even our emotional triggers, and then negotiate with brands (or the brand's agents) to get what we need before we think to ask.
Accenture estimates that AI agents could influence or execute as much as $30 trillion in annual purchases by 2030. For marketing leaders, that shift resets the map. The question is no longer How do I persuade Morgan? It’s how do I earn a yes from Morgan’s proxy?
Personalization moves upstream
Segmentation by age or income looks unintelligent beside an AI agent that can ingest every browse, binge and bank transaction its owner allows. Armed with that view, the agent screens deals long before they reach a live consumer view. A fragrance ad that doesn’t meet a buyer’s historic price ceiling, brand‑ethics markers, or even preferred shipping window, may never even appear as an option. Personalization then becomes pre‑negotiation. Brands that want a seat at the algorithm’s table will need to expose product data in ways an autonomous system can parse quickly and trust implicitly. The reward is access to an ultra‑qualified micro‑audience of one, and the risk of opacity is invisibility.
From intent capture to anticipation
Today, most acquisition tactics still wait for a clear signal whether with search terms, abandoned carts, or click trails. Agents will instead soon work on probability instead of intent. They know a household refills pet food every 26 days and initiates a tennis shoe search after 300 miles tracked. They will buy before the nudge email lands, and they will defect if enough peer agents report a warranty failure you haven’t addressed. Marketing shifts from episodic campaigns to always‑on services that prove the brand can meet needs. Inventory feeds, service‑status APIs and predictive maintenance alerts (all optimized for AI discovery) become critical.
Efficiency becomes the new badge of status
If an agent can scout deals and optimize delivery without breaking a sweat, the consumer’s social currency shifts. Bragging rights no longer come from owning the latest drop but from telling friends their AI found the same performance at half price while they were at brunch. That evolution reframes what brands should celebrate. Speed, cognitive ease and zero‑click resolution become headline features. Loyalty, too, will hinge less on the unboxing moment and more on how smoothly brand systems talk to a consumer’s digital assistant over the product’s life‑cycle.
Will brands still matter?
It’s tempting to fear that if algorithms filter every pitch then brand affinity will dissolve. History says otherwise. Online travel agencies didn’t erase hotel branding, they instead forced hotels to describe themselves in attributes search engines valued. Emotional preference will survive as the parameters humans set for their agents. The operative word here is encode. If a value like sustainability, heritage, or social impact cannot be expressed in structured data and reinforced in post‑purchase interactions, it risks exclusion the next time the agent reruns its routine.
Preparing for the hand‑off
Most companies are early in this transition or just considering the long-run impact of this change. First, audit product information: if specs and service guarantees live only in PDFs, you are already invisible to some emerging agents. Next, pair product managers with data engineers and UX writers to package offers in ways an algorithm can easily ingest. Consider a pilot program that releases “agent‑only” bundles or replenishment subscriptions and track how autonomous systems respond. Finally, invent a metric like "agency loyalty" to measure how often smart re‑order systems default to your SKU when price and features are near‑identical.
Marketing has always adapted to whatever sits between a brand and its buyer: print, radio DJs, search fields, social feeds. AI agents are the next intermediary. They won’t erase human emotion; they’ll channel it through new checkpoints. Brands that learn those pathways early will still be discovered, recommended, re‑ordered and defended. Everyone else will be marketing with silence.
