Best Buy Redesigns Marketing for AI-Driven Discovery
Customers increasingly research products through AI systems like ChatGPT and Gemini before visiting a brand's website. That shift requires marketing teams to design for two audiences at once: humans and algorithms.
Best Buy's marketing leadership is rebuilding how the company creates and distributes content to function in this dual environment. The strategy centers on a basic tension: marketing has always been designed for human emotion and storytelling, but AI systems interpret content through structured signals and metadata.
Content Structure Matters as Much as Creative
When an AI agent evaluates a product description or marketing campaign, it doesn't experience the brand emotionally. It reads structured data, compares information across sources, and surfaces results based on consistency and clarity.
"It's not just what you say, it's how your content is structured," according to Best Buy's approach. The company is rebuilding campaigns around shared taxonomies, consistent messaging, and metadata strategies that allow AI systems to interpret content reliably across channels.
This doesn't mean abandoning creative storytelling. Best Buy found that clarity and structure actually enable better creative work - teams can build campaigns that resonate emotionally with customers while remaining interpretable to algorithms.
The Question Marketing Teams Must Ask
Traditional marketing asks: How do we influence customers? The new question is: How do we show up in the systems that influence them?
That requires rethinking workflows and governance. Best Buy is streamlining infrastructure to scale faster while maintaining control over how content appears in AI-driven discovery systems.
The brands that adapt won't simply adopt AI tools. They'll rebuild how content, workflows, and customer experiences connect across the entire purchase journey.
Learn more about AI for Marketing or explore an AI Learning Path for Marketing Managers to understand how to design strategies that work for both human audiences and AI systems.
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