By Antony Cousins, VP Product, Meltwater | Tech Hub Co-Chair, AMEC 

The AMEC framework for integrated measurement has consistently highlighted the need to link objectives, strategy, outputs, and outcomes, as defined by the Barcelona Principles. As the media landscape changes in response to new technologies and platforms, the need to adopt new tools and measurement models has never been more urgent for PR practitioners.

Today, accelerated news cycles, buzzy new social platforms, and powerful large language models (LLMs) combine to create a media environment that never sleeps, developing new narratives and influencing consumers around the clock, in real-time. 

This shift requires tools that can do more than count mentions or aggregate metrics; they must reveal meaning, context, and intent across every channel that drives influence.

Unifying Siloed Data

As PR teams are increasingly expected to operate across different media, influencer, and social channels, they often juggle multiple tools to measure paid, earned, and owned performance, each with its own metrics, formats, and blind spots. The result is a fragmented understanding of impact and an inability to connect cause and effect across channels.

But with current technology, there’s simply no reason for this disconnect to persist. PR teams should work collaboratively with the wider marketing function to unify metrics from all sources, and agree on measurement frameworks that satisfy everybody’s requirements. 

Given the growing overlap between different marketing communications roles, it makes sense to build performance dashboards that provide a single source of truth that the entire organization can align to. By combining paid, earned, and owned data, you gain a complete picture of how campaigns, content, and conversations interact to shape outcomes.

This unified approach makes your life easier, but more importantly it adds credibility to measurement and reporting. When every stakeholder, from communications to marketing to the C-suite, can access consistent, real-time insights, it becomes easier to tell a coherent story about brand impact. 

I believe this can make reporting faster, collaboration smoother, and decision-making more data-driven, elevating measurement from simply tracking performance to demonstrating the true business value of comms activity.

AI Models Shape Brand Perception

More and more of the world’s information is now filtered through LLMs like ChatGPT, Gemini, and Claude, as consumers increasingly use these tools to seek answers in place of web search engines. Data from Meltwater’s recent Global Digital Report (in partnership with Kepios and We Are Social) shows that ChatGPT alone has 800 million weekly users, and over one billion people use generative AI tools every month.

Unlike search engines, LLMs go beyond pointing users to appropriate human-generated content. They provide answers from stored knowledge that has been learned by training the model on vast volumes of existing content. It’s the difference between asking a question to a librarian, who can help you find the book containing the answer, or asking a professor who has already read all of the books and will simply give you an answer directly. 

But until recently, PR professionals have had almost zero visibility into how these models portray their brands, competitors, or industries.

The way brand mentions are detected and analyzed in LLMs is very different to how they are tracked in media and social platforms, so conventional listening and monitoring tools are not enough to crack this challenge. We need to invent entirely new measures. Share of Answer or ‘Brand Drift’ have the potential to become as fundamental to measurement as Share of Voice or sentiment.

The marketing tech industry has responded to this challenge by developing a new class of tools which can offer insights into how your brand appears in LLM responses. These are the tools of a new marketing discipline, Generative Engine Optimization (GEO), which aims to improve brand visibility in AI platforms. 

Because LLMS tend to cite earned media more than you’d find in typical web or social searches, this change potentially gives PR the data it has always wanted to more directly link their efforts to business outcomes.. With access to the right measurement tools, there’s no reason why any PR professional or agency shouldn’t be able to make GEO as indispensable to their measurement approach as SEO has been for digital marketing. 

Measurement for the Era of AI 

The world is changing, comms is changing, and the way we measure our effectiveness needs to change, too. As AI becomes the new normal, and communications teams are expected to operate across a broader spectrum of channels, measurement needs a new approach and new tools. 

The rise of AI-generated content and the evaporation of channel boundaries demand an intelligent response. As the line between human and machine-generated content continues to blur, communicators must expand their definition of media and influence. 

For decades, reputation management was all about what journalists write, but the rise of social media has made consumer voices and UGC equally important over the past two decades. As we look forward to 2026, we now know that AI-generated content must be included in that mix. 

The ability to capture, measure, and analyze all of these signals will give communicators the insights they need to successfully shape the narratives of the future.