Brands must now optimize for AI as a second audience
Marketers face a fundamental shift in how consumers discover and buy products. AI systems are increasingly acting as intermediaries between shoppers and brands, recommending products and facilitating purchases on behalf of users. Brands that fail to account for this shift risk losing visibility in AI-driven recommendation environments.
This change reflects what researchers call the "Agentic Web"-a future where AI agents curate choices and guide purchasing decisions rather than consumers navigating websites themselves. The trend is already visible in zero-click search behavior, where users rely on AI assistants instead of traditional search engines.
Business-to-Agent marketing emerges alongside B2B and B2C
The concept of Business-to-Agent (B2A) marketing addresses this reality. While B2B and B2C approaches focus on how humans interact with brands, B2A centers on making brands understandable and accessible to AI systems.
The priorities differ. Human audiences respond to creativity, storytelling and emotional connection. AI systems favor structured information, consistency, transparency and trustworthiness. Brands must now satisfy both audiences simultaneously.
This requires rethinking traditional marketing strategies. Brand guidelines designed for fixed digital environments may not work in personalized, AI-generated interfaces where consumers have less direct control over how products appear.
Three concrete priorities for brands
Influence how AI interprets your brand. Ensure consistent messaging across websites, reviews, media coverage and online discussions. All of these feed into how AI models recommend your products.
Provide structured data for accurate representation. As AI generates interfaces dynamically, brands lose control over how consumers experience their products online. Invest in AI-ready design systems, structured content and clean product data to ensure accurate representation.
Prioritize accessibility over exclusivity. Make information easier for AI systems to access and interpret. The competitive advantage may shift from owning proprietary data to being easier for AI to understand and interact with.
What a future customer journey looks like
Consider this scenario: A consumer asks an AI assistant to develop a personalized fitness plan. The AI recommends specific products based on the user's goals and preferences. A branded agent understands the customer's needs and facilitates the purchase. Personalized landing pages and targeted ads support the transaction. Traditional search and comparison shopping become unnecessary.
This isn't speculative. Elements of this journey exist today.
Start small, build over time
Brands don't need to overhaul their operations immediately. Begin with targeted initiatives that can expand later:
- Conduct AI visibility audits to see how AI systems currently interpret your brand
- Improve product information consistency across all channels
- Establish governance frameworks for AI optimization
- Develop AI-ready data architecture
- Create branded assistants and agents with proper controls
Organizations taking these steps now will be better positioned as AI systems become more influential in customer journeys and purchasing decisions.
For marketers, the message is clear: AI for Marketing is no longer optional. The brands that treat AI as a genuine second audience-not an afterthought-will maintain visibility and influence in customer decisions.
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