News & Insights

Your PR Footprint Is Training AI Right Now

When someone asks an AI tool like ChatGPT about your company, the answer is rarely neutral. It’s shaped by what already exists about you online, which outlets have written about you, and how often those stories appear across trusted sources. That influence is already measurable.

According to MuckRack’s recent report, nearly all citations in generative AI responses come from unpaid media, with earned coverage doing most of the work. That means the stories you secure today are influencing how your brand is explained, summarized, and surfaced long before a human ever clicks a link.

PR becomes infrastructure

The report, titled What is AI Reading? shows that earned media makes up the majority of non-paid sources cited by AI models. Journalistic coverage plays a major role, but so do contributed articles, founder interviews, and trade press features. These placements are part of the material large language models rely on when answering real discovery questions. A single strong article still matters, but what matters more is whether your perspective shows up consistently enough to register as credible.

AI models learn from patterns. PR creates them.

One of the more striking findings in the report is how much recency matters. More than half of all citations come from content published within the last year, with the highest concentration appearing in the first week after publication. Visibility isn’t something you can bank and revisit later. If your media presence stalls, so does your influence over how AI systems understand your business.

This also explains why press releases are regaining relevance. For years, they were treated as background noise. Now they function as structured, verifiable source material. As I recently told Inc., press releases act as a reference point when models try to confirm facts or fill in gaps. When companies skip that step, the system improvises, often pulling outdated information or flattening nuance. That cleanup is harder than getting it right the first time.

Visibility now has two audiences

The implication for PR teams is straightforward. Visibility strategy now has to account for both human readers and machine interpretation. Message consistency matters more than novelty. Outlet quality still carries weight, but niche publications remain critical in shaping how brands appear in industry-specific prompts. The goal is durable presence in the places AI already trusts.

PR has always been about shaping perception over time. What’s changed is the audience. In 2026, part of that audience is an algorithm deciding which brands deserve to be mentioned at all. If you’re investing in earned visibility with intention, you are already influencing that outcome. If you are not, the narrative will still be written, just without your input.

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