How AI Agents Are Rewriting the Rules of Discovery
The way people find products and services has shifted fundamentally. They're no longer typing keywords into search engines. Instead, they're asking AI agents to interpret information, compare options, and make recommendations.
This changes what marketing must do. Brands now influence the systems that guide decisions, not just the people making them.
Discovery No Longer Follows the Old Playbook
For years, marketing optimized for search rankings. Teams built backlinks, studied keywords, and crafted content designed to rank on Google. That system is fragmenting.
Today, discovery happens across multiple AI systems-Gemini, Claude, ChatGPT-each pulling from different sources. Reddit, Quora, and community forums now carry weight equal to or greater than branded content. People's candid conversations shape what AI systems surface.
The questions themselves have changed. Instead of searching "high yield savings account," someone asks: "I just graduated. I have a child on the way. I need access to my savings, but I also want it to grow. What should I do?"
That's a moment, not a keyword. Brands that can answer with nuance win. Those that can't disappear.
Three Fundamentals Still Matter
Customer experience leads. When people trust your product, they talk about it. Those conversations now shape how your brand gets discovered.
Trusted sources still win. Both humans and AI systems look for information that's credible, consistent, and detailed enough to withstand scrutiny.
Clarity still converts. Structured, easy-to-understand content works better for people and systems alike because it removes friction.
Building for Both Humans and Machines
At Vanguard, the approach combines three practices: listen at scale, respond with precision, and stay human.
Listening happens through automation. Using Adobe Workfront Fusion, the team built an agent that pulls Reddit engagement data and compares those signals against strategy, brand voice, and business priorities. Within seconds, it generates content ideas grounded in what people actually care about, complete with cited reasoning. Strategists and creatives then choose the direction.
Automation handles the routine work so humans focus on what matters. Over one year, this approach delivered a 23% lift in capacity and a 20% reduction in production time. The goal ahead: another 40% efficiency gain, freeing more time for thinking and creating.
Memory Beats Algorithm
When Vanguard announced a major fee cut, the brand didn't publish an article or LinkedIn post. It took over Union Station in Toronto and placed the message directly in front of people during their morning commute.
That kind of work creates memory. People talk about it. They share it. Those signals reshape the environments AI systems learn from.
A recent video campaign earned a Webby nomination. Memorable work generates signals that resonate across both human experiences and AI-mediated discovery.
The New Competitive Advantage
The future isn't humans versus machines. It's systems designed for both-experiences that create emotional resonance for people while building trust with the systems shaping discovery.
Brands that succeed won't just capture attention. They'll become the most trusted answer wherever the question gets asked.
For marketing teams adapting to this shift, the priority is clear: learn how AI is reshaping discovery and marketing strategy, and understand how AI agents and automation can help you listen and respond at scale.
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