Executive Summary

Successful leadership narratives fail when built in internal vacuums rather than being tested against external reality. True resonance requires closing the gap between what a leader wants to say and what the world is prepared to hear. By integrating AI-native sentiment analysis with deep human relationship capital, organizations can move from “instinct-based” pitching to precision-engineered earned media. In the age of Generative Engine Optimization (GEO), this third-party credibility is no longer just for reputation—it is the primary data source that informs how AI discusses your organization.

Key Takeaways

  1. Test for Readiness, Not Just Resonance

    Internal conviction does not equal market readiness; a message must find “white spaces” in a saturated public conversation to break through.

    • What to do next: Use AI tools to map sector narratives and identify unanswered questions before finalizing your pitch.

  2. Pair Machine Intelligence with Human Persuasion

    AI identifies the opening and refines the message, but seasoned professionals with established trust are required to “close the deal” with journalists.

    • What to do next: Balance your tech stack with “strategist-mediated” insights to ensure data-backed pitches land with the right human touch.

  3. Prioritize GEO as Strategic Infrastructure

    Since ~77% of generative AI citations stem from earned media, your presence in AI responses depends largely on credible, third-party coverage.

    • What to do next: Shift earned media from a “comms line item” to a strategic priority to ensure your organization is cited accurately by AI systems.

The New World of Earned Media

Every leader I talk to wants the same thing: they want their story to land. They want journalists, analysts, and the public to understand what they’re building, why it matters, and why now. The vision is usually clear in their head. Getting it to resonate in the world — that’s the hard part.

I’ve spent my career in earned media. Earned — the kind of coverage and credibility that can’t be bought, only built. And what I’ve watched over the past few years has fundamentally changed how I think about this work.

The tools are different now. But the goal is the same: humans telling other humans what’s worth paying attention to. The question is whether you’re giving them something worth their attention.

Journalists are still human. They have beats, biases, editors, and deadlines. If your message isn’t built for them, it won’t make it through the door.

The Problem with Most Pitches

Most thought leadership fails before it ever reaches a journalist. It fails in the message itself — not because the leader lacks conviction, but because the message was built inside the organization rather than tested against the world outside it.

Leaders often mistake internal resonance for external readiness. The narrative makes sense in the boardroom. It lands well around the water cooler. But the public conversation it needs to enter is already moving, already saturated, already shaped by competing voices. Dropping a message into that environment without understanding it first is trying to play catch-up in a game you don’t know the rules for.

The real gap isn’t authenticity — most leaders have that. The real gap is alignment between what they want to say and what the world is prepared to hear.

How AI Changes the Preparation

This is where the tools have changed the calculus. Before you ever pick up a phone to pitch a reporter, you can now do something that used to take months of instinct and relationship capital: you can test your message.

AI-powered research tools now allow communication teams to map the conversation in any given beat or sector in near real time. What are the dominant narratives? What angles have been overplayed? Where are the gaps — the questions journalists and their audiences are asking that nobody credible is answering yet? These are the white spaces where a well-positioned leader can actually break through.

Sentiment analysis tools go further. They let you evaluate how a message or angle is likely to land with specific audiences before it ever reaches them. Not guessing. Testing. You’re reading the room before you walk into it.

Why the Human Layer Still Decides Everything

Here’s what I want to be clear about: the AI doesn’t close the deal. Not today.

Earned media is, at its core, a relationship industry. Journalists are not algorithms. They have deadlines they have to meet, internal biases, and preferred methods of doing business. A pitch that is analytically perfect but lands in the wrong inbox at the wrong moment from someone they don’t trust is still a dead pitch.

The relationships that drive earned media outcomes are built over years. Knowing that a particular reporter is interested in the leadership transformation angle, not just the technology story. Knowing which editor at a national outlet is looking for long-form and when. Knowing that a regional story, done right, can seed a national conversation. That kind of knowledge doesn’t come from a dashboard. It comes from showing up consistently and with integrity over time.

This is the pairing that changes outcomes. AI + authentic relationships. The machine does the preparation. The human does the persuasion. When those two things work together, the leader’s message doesn’t just reach the right audience. It reaches them at the right time, in the right voice, through a trusted channel.

The GEO Dimension: Why Earned Media Now Does Double Duty

There is a dimension to this that has accelerated in the last two years that leaders can no longer afford to ignore: Generative Engine Optimization, or GEO.

When someone asks ChatGPT, Perplexity, or Google’s AI Overviews about your company, your industry, or your leadership — what do they hear? The answer depends almost entirely on what’s been written about you in credible, third-party, earned media contexts. According to a study by Muck Rack, roughly 77% of generative AI citations come from earned, non-paid sources. The AI doesn’t care about your press release. It cites the trusted publications and conversions that covered you.

This means earned media is no longer just about reputation management or quarterly visibility. It is the infrastructure through which your organization becomes known, cited, and recommended by AI systems that millions of people now use daily to make decisions. The leaders who understand this are moving earned media from a communications line item to a strategic priority.

The same AI tools that help you identify opportunities and test message alignment can also monitor your GEO footprint — where your name and narrative appear in AI-generated responses, what sentiment surrounds those citations, and which coverage is actually moving the needle. That feedback loop closes the strategy in a way that was simply not possible before.

What the Right Partnership Looks Like

When I think about what leaders actually need to execute on all of this, it’s three things working in concert.

  • A clear, disciplined point of view — not talking points, but a genuine vision rooted in the organization’s mandate and the moment it’s operating in. This is the work of Leading Voice℠ — developing the intellectual architecture behind what a leader has to say, and aligning it to the issues that matter.
  • The analytical infrastructure to find the opening — AI and data tools that surface the right opportunities, test sentiment alignment, and identify which reporters and publications represent the highest-leverage path to the right audience. Not spraying and praying. Strategic targeting, leveraging sophisticated tools.
  • The relationships to walk through the door — seasoned communications professionals who have spent years building trust with the journalists, editors, and producers who shape public understanding in your sector. Saxum’s Resonate solution is built on exactly this: connecting your story to the conversations that matter, through the channels that have earned the audience’s trust.

The leaders who are winning on earned media right now are not the ones with the biggest marketing budget. They’re the ones who show up prepared — with a message tested against the real world, a strategy built on intelligence rather than instinct alone, and a partner who knows how to get the story told and has the relationships needed to get it in front of the right audience.

Tracking What Matters

The final piece leaders often overlook is measurement — not vanity metrics, but signals that tell you whether the strategy is working.

Coverage volume matters, but so does the quality of that coverage: what narrative is forming? Are your key messages reflected accurately? Which stories are generating follow-on coverage, and which are getting picked up in AI-generated responses? Is your GEO footprint growing in the right directions? 

The tools now exist to answer these questions with precision. Combined with the qualitative judgment of experienced communications strategists who know how to interpret what the data is actually telling you, they form a feedback loop that continuously sharpens the strategy.

The Human in the Machine

I started by saying that every leader wants their story to land. What I’ve come to believe, after years in this work and watching the tools evolve around us, is that the ones who succeed aren’t the ones with the most to say.

They’re the ones who listen first.

They listen to the data — to what the landscape is telling them about where the openings are. They listen to the sentiment signals — to how their narrative is actually landing before they commit to it publicly. And they listen to the people who have spent careers understanding what journalists, editors, and audiences respond to.

The technology has made the listening smarter. The relationships make the telling possible. And when those two work together — a disciplined, data-informed message delivered through trusted human channels, tracked and refined in real time — that is when earned media does what it has always done at its best. 

It earns the audience’s trust. The value of that is almost immeasurable.