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Increasing Awareness and Building Credibility: How AI Metrics are Redefining PR Success

Scrabble letters that spell News and AI

There is no longer any debate about whether artificial intelligence belongs in our work. It is already woven into nearly every industry, and public relations is no exception. The PR firms that thrive in this moment will not be the ones that simply adopt AI, but the ones that fully understand the power of what AI can actually do for their clients to build credibility and increase awareness.

It helps to remember that AI is, at its core, a tool. It’s an extraordinarily powerful one, but a tool nonetheless. Throughout history, our profession has absorbed new technologies, from the fax machine to social media, and emerged sharper for it. AI is the next chapter in that story. Yes, it can help us complete routine tasks faster and more efficiently. But AI’s more transformative promise lies in making it easy to prove the real value of what we do.

How do we demonstrate the impact, or the return on investment, of communications work? For years, our answer leaned on metrics such as earned media impressions, search engine visibility, website traffic and social media engagement. Those numbers still have their value, but they only scratch the surface. They only tell our clients how many people may have seen their name. But they say far less about whether that visibility has moved hearts, minds or business outcomes. AI is changing that calculus, giving us tools to show clients precisely how our work is shaping their reputation and advancing their goals.

Moving beyond SEO

For more than a decade, search engine optimization reigned as the dominant strategy for online visibility. But AI-powered search is rapidly rewriting what “visibility” even means. Large language models do not simply rank a list of links. They weigh a far richer set of signals when deciding which sources to trust and prioritize in the answers they give users.

One of the most important of those signals is earned media. The placements we work so hard to secure now help determine whether an AI system cites a particular organization as a trusted authority, which makes a strong earned-media presence more valuable than it has ever been. And beyond simply appearing in AI search results, we can now use these same systems to quantify our impact. Metrics that once took analysts days or weeks to assemble are suddenly within immediate reach.

Here are four newly emerging ways to measure impact with AI, many of which were recently highlighted by the Public Relations Society of America (PRSA).

Earned media visibility: Share of Search Influence

The Share of Search Influence captures how earned media shifts a brand’s search volume and visibility across traditional search results, as well as AI-driven search and LLM outputs such as Google’s AI Overview. In practice, we might establish a client’s baseline influence ahead of a major announcement, then measure again after that launch lands coverage in outlets like The Washington Post or POLITICO, to see whether their share of influence jumps.

The mechanism is worth understanding: High-authority national coverage feeds both AI training data and the real-time retrieval that these systems rely on. When a client earns a placement in a top-tier outlet, AI tools become more likely to surface them in generated answers—which in turn can drive branded searches, as people who encounter the name in an AI response go looking for more. Earned media, in other words, increasingly seeds the very systems shaping what audiences discover next, going beyond increasing awareness.

Thought leadership: Topic Ownership Score

The Topic Ownership Score measures the degree to which a brand, an executive, or an organization is recognized across earned media as the primary, authoritative voice on a given issue. Put simply: when people think about a particular topic, do they think of your client? In a very real sense, large language models can be seen as topic-ownership scoring engines, running continuously and at enormous scale.

Every time someone asks an AI system a question in a client’s subject area, the model makes a real-time judgment about who owns that topic. It surfaces certain names and omits others. It credits expertise and bestows credibility. And it does so millions of times a day, invisibly, with no byline and no click required. That is a profound shift in how reputations are built.

For our health communications clients, the stakes are especially high. When earning trust and building credibility are the entire value proposition, becoming the leading organization that an AI cites for answering a health question is fast becoming perhaps the single most valuable form of brand equity.

Message fidelity: AI Semantic Message Match Score

The AI Semantic Message Match Score uses large language models to assess whether media coverage captures the true meaning of a client’s key messages – not merely whether particular keywords appear, but whether the substance and emphasis of the coverage actually reflect what the client wants to own. This is work that our analysts have long done by hand, reading clips and scoring them against a message matrix. AI makes that process scalable, consistent, and considerably more nuanced, freeing our teams to focus on strategy rather than tallying mentions.

Audience movement: Query Intent Shift Score

A newer metric, the Query Intent Shift Score monitors how earned media influences the questions and topics people search for, revealing how audience intent evolves over time. It can show, for instance, whether a campaign has genuinely moved an audience from passive awareness toward active interest and engagement. Its real power is the way it reframes the conversation—from “here is how many people saw your name” (increasing awareness) to “here is evidence that people are moving toward you.” That is precisely the kind of proof that clients have always wanted and that we have rarely been able to offer.

A new standard for demonstrating impact

None of these tools replace the fundamentals of good communications work. Sound strategy, sharp messaging, and strong relationships with reporters still matter as much as they ever have – possibly even more. What AI offers is a more accurate and more complete account of the impact that our work creates. For an industry that has spent decades searching for better ways to prove its value, this is an opportunity worth seizing. The practitioners who learn to use these measures strategically and powerfully will be far better positioned to show their clients not just that they were seen, but that they made a tangible difference.

Looking to stay ahead with smarter ways to measure PR impact? Contact us and let’s talk about what’s next for your organization.

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