AI Lessons Learned: Rethinking What PR Measurement Means

For years, PR reporting has been relatively predictable. Clients would ask some version of: How much coverage did we earn? What was the reach? How did our share of voice compare to competitors? Which stories performed best and how much website traffic did PR drive?

Today, those questions still matter, but we’re seeing them being joined by a very different set of questions:

• How visible are we in AI compared to our competitors?

• What questions are our customers actually asking AI?

• Why are you recommending these stories and pitch topics?

• Where is AI getting information about us?

• What do we need to do to improve our visibility?

On the surface, they look like measurement questions, but when you pull back the curtain, you’ll discover they’re based on strategic guidance. And ultimately, they're changing what clients expect from their PR agency’s reporting capabilities.

What We Need To Measure

As people are increasingly turning to tools like Google AI to find and evaluate information, the traditional measures of digital performance don't tell the whole story anymore.

According to recent data from Similarweb, traffic to major news sites has declined while AI-driven referrals are growing. For PR, that means we have to start considering the value of earned media can extend well beyond the people who actually read or click on a story. A placement we secure can now be part of the information AI cites when answering a future question about a company, executive or category.

With this in mind, we're starting to look beyond traditional measures of coverage and ask: What is AI saying about our client and why?

At Next PR, we look at AI visibility through three lenses:

• Visibility: How often is the brand appearing in relevant AI answers, and how does that compare to competitors?

• Sources: Where is AI getting its information — earned media, owned content, industry publications or elsewhere?

• Topics: What questions are generating visibility, and where are there gaps or opportunities?

From Reporting to Informing

Traditional PR reporting tells us what we did, what we secured and how it performed.  However, with AI-informed reporting, we can initiate conversations about where our opportunities lie, and that helps turn reporting from a scorecard into a constant feedback loop.

In fact, one of the most interesting questions we're hearing from clients is, “Why this story or topic?”

AI prompt research can inform the topics we recommend, the questions we pitch to reporters, the expertise we put forward and the content we create. If customers are consistently asking AI about a particular issue and our client isn't appearing in those answers, that's a PR opportunity.

That’s why we’re focused on building that thinking into all aspects of our work — from quarterly reporting and share of voice to annual objectives and campaign planning. The goal is to make the metrics we’re providing more useful and give clients a clearer understanding of what changed, why it matters and what we should do next.

As AI changes how people discover, evaluate and trust information, PR measurement has to evolve, as well. The future of reporting isn't adding more metrics to the dashboard; it's creating a clearer connection between visibility, audience behavior and business outcomes. Clients don't only want to know what happened. They need to understand whether it matters, what opportunities they're missing and what actions they should take next. That's why we're reshaping our reporting at Next PR, with an emphasis on forward-looking strategic guidance.

Because the best PR report isn't necessarily the one with the most numbers; it's the one that helps make the next decision.