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Are You Ready for the Age of Agent-to-Agent Marketing? How CMOs Can Prepare for the Coming Shift in Buyer Behavior

BY BRUCE CLEVELAND AND THE BRUCE CLEVELAND EXPERT MODEL

“Tomorrow’s visibility won’t be won by gaming algorithms, but by engineering clarity—so both humans and intelligent agents know exactly why you matter. If your content can’t tell its story to an AI, it’s already invisible to tomorrow’s world.”—Bruce Cleveland EM

What if your most important customer never read your campaign, filled out your form, or even visited your website—but chose your offer anyway?

The nature of marketing and commerce is on the cusp of a profound transformation—one likely to blindside businesses unprepared for the next great shift in how people buy, sell, and engage. As artificial intelligence rapidly matures, a new actor is poised to enter the market at scale: the intelligent agent.

For years, marketers have optimized for search engines and social algorithms. But just over the horizon, we face a world in which most purchasing journeys—B2C and B2B alike—begin not with human searchers, but with autonomous digital agents acting on behalf of their users. In this agent-to-agent (A2A) future, it will be machines—not people—making first contact, evaluating options, and even shortlisting and negotiating purchases.

While these shifts are just now coming into focus, forward-looking CMOs have a rare—and dwindling—opportunity to prepare, and potentially shape, how their businesses win in the next era.

What Is A2A, and Why Is It Imminent?

Agent-to-agent marketing describes a not-so-distant future in which personal AI assistants—already rumored for release by major tech platforms—routinely act as surrogates for their human users. These agents will shop, compare, book, and even transact for us, not as mindless bots but as tireless proxies with deep understanding of personal preferences, spending patterns, and risk tolerances.

At the same time, businesses will deploy their own fleets of specialized AI agents—equipped with up-to-the-moment product data, pricing algorithms, and negotiation skills—to meet incoming requests and manage digital relationships at scale.

When an individual’s shopping agent pings a field of company agents, a new marketing dialogue unfolds, often without a human directly involved until final confirmation. Already, leading brands and technology players are piloting agent-based shopping and service experiments. Industry consortia are rapidly developing early “A2A” standards for interoperability.

Today, these scenarios remain mostly experimental. But the core building blocks—consumer-facing assistants, agent marketplaces, structured data—and the first public protocols (from players like Google and Visa) signal that this is not decades away. It is months, perhaps a few short years. The opportunity—and the danger—for marketers is that when A2A goes mainstream, the speed of behavioral change will be blinding.

Why CMOs Must Pay Attention Now

If this trend is unfamiliar, you are not alone. The term “A2A marketing” has yet to dominate the conference circuit. In board meetings and budget discussions, there is little mention of agentic optimization or agent-readiness roadmaps. Few, if any, marketing teams have a line item for “agent2agent optimization”—a phrase that might, in hindsight, become the new “SEO” of the late 2020s.

Yet the logic is already inescapable:

  • The “audience” will soon begin as an algorithm;
  • Human brand affinity won’t matter if your offer is invisible to their digital proxy;
  • Marketers must design not just for human attention, but for successful agentic selection.

CMOs who start now have an outsized chance to set the playbook—inside their companies and for their categories.

Three Moves for Forward-Looking Marketing Leaders

1. Architect Your Brand for Bots and Humans Don’t wait for a sudden inflection to force a scramble. Begin now to create machine-friendly representations of your key offers—joined up with your existing content and message architecture. Treat product data, portfolio positioning, and competitive differentiation as both creative expressions and structured information: schemas, APIs, agent-accessible endpoints.

2. Map the Agentic Funnel Where will your prospective buyer’s assistant go when tasked with a purchase decision? How will your agent profile be ranked or filtered? Map the “agent’s journey” as meticulously as you mapped the customer journey in years past. Iterate messaging, value props, and data exposure so that they are easy for AI intermediaries to parse, rank, and act upon.

3. Start Experimenting with Agentic SEO and A2A GTM Strategies Pilot small-scale integrations and feed your product and reputation data into platforms investing in agentic discovery—be that Google, early agent directories, or emerging B2B agent networks. Begin tracking where agent-originated inquiries or machine-initiated touches appear in your funnel. Equip a “tiger team” inside marketing to run continuous experiments on agent-facing messaging and call it out as a board-level R&D priority.

The Board Will Ask, “Are We Agentic-Ready?”

The moment may not be here—yet. But past experience with digital, social, and mobile shifts proves that the window from “fringe concept” to “existential competitive gap” can be perilously short.

Visionary marketing leaders—CMOs included—will recognize that A2A isn’t just another buzzword but the logical next evolution of a world where automation mediates every stage of the purchase process. The implications touch every pillar: from brand, demand generation, and content, to technical SEO, UX, and pipeline instrumentation.

Many will first hear of agent-to-agent marketing in articles like this, if not in your next board or product review. Treat it as your early warning: The time to prepare for agentic buying and A2A marketing is now, while there’s still whitespace, not after the market incumbents have claimed the agentic channels and set new rules of play.

Because in this next era, the first marketer who “wins the agent” could well win the customer—and the category.

The Agentic SEO Offer

Traction Gap Partners, in partnership with Innovation Algebra, is offering an AI-based service that will analyze your website and provide you with a full complement of AI metadata tags that LLMs need to more effectively crawl your website so you can “be seen” by LLMs and agents. These tags are customized and optimized for each company. Learn more by going here and requesting to speak with us in the Message field – https://tractiongappartners.com/contacts/.

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