Your advocacy program is asking the wrong question.

There's a question that drives most customer advocacy programs, and it's the wrong one.

It goes something like this: How do we get our customers to advocate for us?

It seems reasonable. But it frames customers as a resource to be tapped rather than a relationship to be earned. And predictable outcomes follow: the same five customers get asked repeatedly until they quietly start declining. Leadership sees a small, fragile program and wonders why the ROI is murky. And cross-functional alignment stays elusive because everyone is pulling from the same shallow well.

I spent years building customer advocacy programs at Intel - first in a product group, then as a centralized marketing function, and eventually as a global discipline inside Intel's formal customer experience organization. The lesson that cuts across all of it is simple: the programs that worked were the ones built around the right starting question.

Not "how do we get customers to advocate?" but "how do we deliver such compelling value that advocacy is a natural response?"

That inversion changes everything.

What value-first advocacy actually looks like

When I was running Intel's customer storytelling program, I worked with a major bank that was open to showcasing their use of Intel technology - but what they really needed, urgently, was to recruit senior technical talent. So we offered them a speaking slot at a technology event we were hosting. They got a stage in front of exactly the audience they were trying to reach, and a chance to position themselves as a forward-thinking, tech-first institution. We got a compelling customer voice in front of a room full of decision-makers. Nobody called in a favor. It happened because we understood what mattered to them and found the intersection.

That's the value-first model in practice. You're not asking customers to do something for you. You're offering something they actually want, and the advocacy flows from there naturally.

One of the most durable structures for building this kind of program is a customer community centered on peer value - a place where customers share what they've learned, get help navigating similar challenges, and have a platform to talk about their own successes. In that environment, your most engaged potential advocates reveal themselves through their activity. You don't have to guess. And you're not forcing customer voices into formats that feel unnatural to them.

This also addresses the burnout problem without ever having to tackle it directly. When you're cultivating conditions for a much larger group of customers to naturally rise to the surface, you're no longer drawing from a pool of five loyal contacts.

Why AI just raised the stakes on all of this

For a long time, companies could run an underpowered advocacy program and largely compensate with strong SEO and polished content. AI has changed that calculus.

Buyers aren't starting with Google's first ten search results anymore. They're asking AI assistants for distilled answers, and those systems don't just surface what you say about yourself. They're scanning for patterns of trust: third-party reviews, community conversations, earned media, the authentic specific stories customers tell about you in their own words.

I wrote about this in more depth in a piece last December if you want to go deeper on the mechanics, but the short version is this: you can no longer compensate for thin advocacy with thick content. The signal AI looks for is the one you either earned or you didn't.

That doesn't just change your marketing strategy - it also changes the conversation with leadership. "Our advocacy program needs more budget" is a hard argument. "Our customers' authentic voices are now a primary input into how AI systems decide whether to recommend us" is a different conversation entirely.

AI as the connective tissue across teams

There's a second way AI is reshaping this space that gets less attention: its potential to connect the dots across the organizational silos that have always undermined advocacy programs.

Here's a scenario that plays out constantly. A customer calls into support with a serious problem. The support team handles it beautifully, and the customer goes from frustrated to genuinely impressed. That interaction contains everything you'd want in an advocacy story: real friction, real resolution, real trust built. And then it disappears into a support ticket. Marketing never hears about it. Sales doesn't know. The opportunity to deepen the relationship, invite that customer into a community, or ask if they'd be willing to share their experience - all of it evaporates because the teams aren't connected.

AI can change that. Not by automating the relationship - that part is still human work - but by surfacing the signal. Customer experience data that used to sit siloed in separate systems can now be synthesized and routed. A positive support interaction doesn't have to stay in the CS team's inbox. A spike in product engagement doesn't have to go unnoticed by customer marketing.

But the technology only helps if the people and processes are aligned to act on what it surfaces. AI connecting your systems doesn't matter if marketing and CS aren't in the habit of talking to each other, or if there's no clear owner for the handoff when a signal fires. The tool is only as useful as the culture it operates in.

The leadership question at the center of it all

The organizations that build durable advocacy aren't necessarily the ones with the most sophisticated tooling. They're the ones where leadership has made customer experience a genuine north star and aligned their people, incentives, and practices around it. When that's true, advocacy infrastructure has fertile ground to work in. When it isn't, even the best platform is pushing water uphill.

At Intel, we learned this while building a Customer First culture initiative alongside the advocacy and storytelling work. We brought customer voices into internal moments - not just external campaigns - so that leaders and teams were regularly reminded of who they were ultimately working for. We ran exercises that helped people in internally-facing roles trace how their decisions ultimately touched the customer. We made sure the recognition program connected to customer-first behavior, not just output metrics. The resistance was real; some leaders had been through enough "customer-centric" initiatives to be skeptical. But over time, the customer's perspective started showing up earlier in the process - informing product decisions, shaping internal strategy, not just validating choices that had already been made.

The reason this matters for AI adoption is more direct than it might seem. When leaders frame AI as a tool for understanding customers better, surfacing signals that improve the relationship, and delivering more personalized value, employees respond very differently than when they're told AI is about efficiency and cost reduction. Customer experience gives people a north star they can actually get behind. Efficiency mostly just generates anxiety.

Leaders navigating AI adoption right now have a window to make that framing choice deliberately. The companies that come out ahead will be the ones that rally their people around a genuine commitment to the customer relationship and use AI as the means to enable that commitment at scale.

The question worth starting with

If your advocacy program is struggling to identify ready advocates, prevent burnout, earn leadership investment, or align teams, the issue may not be the program mechanics. It may be the question you started with.

Start instead with: what do our customers value, want, and need from us - beyond the core product? Where are the genuine intersections between what would serve them and what we're trying to accomplish? What would it look like to give customers a platform to express their success in ways that feel natural to them?

Answer those questions seriously, and advocacy starts to take care of itself. The tools that help you identify, coordinate, and scale it become genuinely powerful rather than aspirational.

In the AI era, authentic customer relationships aren't just a marketing asset. They're a competitive signal that's increasingly hard to manufacture. Building them is human work - led by leaders who see customers not as a resource to extract value from, but as the whole point.

Barbara Roos is the founder of Trailhead Communications, a leadership and change advisory helping organizations navigate the human side of AI adoption. She spent more than two decades at Intel leading customer storytelling, advocacy, and organizational change initiatives. Learn more at trailheadcommunications.com.