The world's first formal paper defining B2A marketing —
how businesses must evolve to win the agent economy.
The proliferation of autonomous AI agents—software systems capable of independently browsing, evaluating, and transacting on behalf of human users—represents a fundamental disruption to the discipline of marketing. This paper introduces and formally defines Business-to-Agent (B2A) as a new commercial paradigm distinct from B2B and B2C models.
We propose the Agent Experience (AX) framework as the foundational model for B2A strategy, and examine how traditional marketing functions—discovery, persuasion, conversion, and retention—must be reimagined when the primary decision-maker is an artificial intelligence rather than a human being.
For decades, marketing has been premised on a single assumption: the buyer is human. Brands invested in emotional storytelling, visual design, and persuasive copy because they were communicating with people whose decisions are shaped by feeling, identity, and social influence.
That assumption is now breaking. AI agents—autonomous software programs that act on behalf of users—are rapidly displacing the human in the purchase journey. Google, Amazon, and Meta are piloting agentic systems that research, evaluate, and transact on a user's behalf. Visa and Mastercard are building agent-ready payment APIs. Y Combinator is funding companies that sell directly to agents.
"The most important audience for your brand may soon be one that never sees your ads, never reads your copy, and has no emotional response to your story — yet decides whether you win or lose."
This paper argues that the marketing discipline requires a new paradigm — one designed from first principles for a world where the buyer thinks in data, not feeling.
We define B2A (Business-to-Agent) as: a commercial model in which a business's primary optimization target is an autonomous AI agent acting on behalf of an end user, rather than the end user themselves.
| Dimension | B2C | B2B | B2A |
|---|---|---|---|
| Decision Maker | Individual consumer | Business buyer/committee | AI agent |
| Decision Driver | Emotion, brand, UX | ROI, compliance, relationships | Structured data, reliability, fit score |
| Discovery Channel | Ads, social, search | Sales, events, referrals | MCP registries, API docs, tool schemas |
| Persuasion Method | Storytelling, visuals | Case studies, demos | Capability descriptions, benchmarks |
| Loyalty Driver | Brand love, habit | Contracts, switching costs | Uptime, response time, output quality |
Just as User Experience (UX) emerged as the discipline for designing products around human cognition and behavior, we propose Agent Experience (AX) as the discipline for designing products, APIs, and content around how AI agents perceive, evaluate, and select tools and services.
AX is built on four core pillars:
Email marketing built its entire architecture around the human Call to Action (CTA) — a button, a link, a sentence designed to trigger an emotional decision. In a B2A world, this model collapses.
Agents don't read email marketing. They filter it, summarize it, or act on it based on structured intent signals — not persuasive copy. This gives rise to a new concept: the CTAi (Call to Agent Action) — a machine-readable directive embedded in communications that tells an agent exactly what action to take on the user's behalf.
"A CTAi is not 'Buy Now' — it is a structured payload that says: this is the action, this is the endpoint, this is the authentication, and this is the expected outcome."
API-first businesses are the first wave of B2A opportunity. Their products are already machine-readable by design — they simply need to be repositioned and optimized for agent selection.
Key B2A actions for API businesses:
B2A is not a future concern — it is a present reality. The infrastructure is being built today by the world's largest technology companies. The window for first-mover advantage is 18–24 months.
Businesses that optimize for agent discovery, parsability, reliability, and interoperability today will own the invisible shelf of tomorrow. Those that don't will become invisible — not because agents dislike them, but because agents simply cannot find them.
The discipline of marketing must evolve. B2A is that evolution.