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As AI separates brands from the point of purchase, B2C marketers must learn from industries used to intermediaries. They can adopt CPG strategies for being top-of-mind without controlling checkout, and B2B tactics for influencing customers who complete most research before direct engagement.
AI agents will automate most routine purchases based on pre-set user preferences. The new marketing battleground won't be the store shelf but becoming the default choice in a user's AI settings. Advertising's role will shift to persuading users to change these defaults, making its impact instantly trackable.
As consumers delegate purchasing to personal AI agents, marketing's emotional appeals will fail. Brands must prepare for a "Business-to-Machine" (B2M) world where algorithms evaluate products on function and data, rendering decades of psychological tactics obsolete.
The marketing dynamic is shifting from influencing human emotions to communicating clear, machine-readable value to consumers' personal AI agents, which will increasingly handle purchasing.
In B2C, consumers often know the brand, so the goal is demand amplification. In an indirect B2B channel, the end-user rarely interacts with the brand directly. Marketing's job shifts to equipping and enabling partners to be effective brand advocates when the marketer isn't in the room.
The internet was built for human interaction. The rise of autonomous agents shopping for products and services on our behalf signals the dawn of an 'agentic web.' This will force a fundamental shift in marketing and sales, requiring businesses to learn how to effectively market to and be discovered by AI agents, not just humans.
The evolution of personalization won't just be one-to-one marketing to a person, but marketing to their AI agent. Brands must learn how to provide data signals and recommendations that influence an AI's choices on behalf of its user, a paradigm shift from traditional consumer engagement models.
Future marketing must adapt to a world where the "customer" is an AI agent. These agents will bypass traditional persuasive tactics and brand narratives, instead performing objective, data-driven comparisons to find the best product. This forces brands to compete purely on measurable value and utility, fundamentally changing marketing strategies.
Instead of inefficient, broad-reach brand campaigns like TV ads, D2C brands can achieve better results by mirroring B2B's focused approach. Using measurable channels like creator whitelisting and publisher advertorials allows for targeted storytelling to ideal customer profiles.
Brands will need a bifurcated approach for marketing. One strategy will focus on creating authentic content for human connection, while a separate, distinct strategy must structure information to be effectively parsed and prioritized by the AI agents that increasingly intermediate the customer journey.
As AI agents and synthesized search become intermediaries, traditional channels are insufficient. The new imperative is ensuring your brand’s data is accessible to AI models as they reason and generate responses, directly influencing the outcome before it reaches the consumer.