Brands Connect Search, Social, and AI Discovery To Revenue With Modern Marketing Metrics

In 2026, search no longer exists as a single channel. As AI expands how business audiences discover solutions on platforms like TikTok, Reddit, YouTube, and through AI‑generated results, traditional marketing metrics are losing their relevance. Legacy measures may no longer capture the full picture of how and where buyers find information, but the shift gives brands an opportunity to modernize performance tracking in ways that demonstrate business impact and strengthen customer engagement.

Nikki Lam is SVP and Head of Earned Media at NP Digital, a global performance marketing agency, where she leads the Organic Search team, drives award-winning campaigns for enterprise and Fortune 1000 clients, and partners with global Earned Media teams to ensure consistent, innovative, and high-impact search strategies. A recognized thought leader, Lam has observed the search landscape shift in real time and believes leaders must reset how they define and measure success.

“Search is becoming less about search engine optimization and more about search-everywhere optimization. People engage with brands across more surfaces than ever,” says Lam. The shift requires a smarter approach to measuring marketing success. As discovery spreads across platforms and executives demand links between marketing efforts and revenue, teams that adopt a measurement framework tied to business outcomes achieve the greatest impact.

• Asking the right questions: Lam recommends a framework that links every metric to a real business outcome so teams can prioritize what matters most. Her approach has three steps: the “what” shows what happened, the “so what” explains why it matters, and the “now what” defines the next action. She notes that most teams stop at step one. “You have to ask ‘so what’ and ‘now what.’ That’s how you connect marketing to real business results,” Lam says. Over time, teams can focus on initiatives that drive the biggest impact, allowing them to spend less time on work that doesn’t move the business forward.

• Revenue over rankings: For years, earned media teams measured success by traffic, click-through rates, and keyword rankings. In a simpler search landscape, those numbers worked. Today, audiences are discovering brands across many platforms, and AI shapes how they search, so these metrics only tell part of the story. With executives scrutinizing budgets more closely, teams cannot rely on old metrics alone. “It shouldn’t just be about traffic or rankings anymore,” says Lam. “We need to look at revenue, customer lifetime value, and other measures that show real business impact.” Organic share of voice also matters. “It shows how strong your influence really is.”

A measurement framework works best when teams collaborate, according to Lam. Alignment rarely happens on its own, especially in organizations where search, social, influencer, and PR teams have traditionally worked separately. Lam’s approach is based on the idea that collaboration starts with insight. When teams are shown data that highlights real opportunities, real teamwork can begin.

• Driving the conversation: Lam recommends providing data before offering recommendations. For example, showing a social team a Reddit thread that outranks their content for a branded search term sparks a conversation on their terms. “Once we share the data, they begin asking the important questions because they start thinking about what they can do,” she explains. Teams can then move from being told what to fix to deciding how to act, and that’s where genuine collaboration between teams begins.

• Channeling the passion: The same principle applies to influencers and brand advocates, groups with authentic reach who often need strategic guidance. “Giving influencer teams the right keywords gives their social content a search boost it wouldn’t otherwise have,” Lam says. She also emphasizes proactivity. “If a Reddit thread spreads misinformation, we alert our brand advocates so they can respond right away. The enthusiasm is already there, but it’s most effective when they know exactly where to focus.”

Lam stresses that companies should adopt search-everywhere optimization as the new standard. This modern approach to omnichannel marketing focuses not just on consistency but on being strategic about the channels that matter. The brands that succeed don’t try to be everywhere, but rather show up consistently where their audiences are, with a coherent message that holds wherever AI surfaces it.

• Fortifying all outlets: Brand consistency has always been important, and AI has made it even more impactful. Social posts, reviews, and user content now shape AI-generated answers, so inconsistent messaging spreads quickly. “Keeping a consistent brand message across all channels isn’t just an omnichannel best practice anymore,” Lam explains. “It’s how you build a defensive moat around your brand in the age of AI.”

The evolving search landscape offers opportunities for brands ready to adapt. By moving from legacy metrics to measures tied to real business results, bringing teams together through shared insights, and using every voice strategically, organizations can stay ahead and gain a competitive edge. “The landscape is changing so fast,” Lam concludes. “With teams focused on efficiency and executives prioritizing impact, there’s an opportunity to really lean into what shows business value.”