Here’s how we’re tracking them.

PR has always had one core job: earn trust with the people who shape what others believe.

For most of the last century, that meant journalists and editors. Get the story right, get it in front of the right reporter, and credibility followed. That job hasn’t changed. But with the rise of AI, gatekeepers have multiplied, making earned media more critical to business survival than ever.

Consider this: over 51% of modern buyers now bypass traditional search engines entirely, starting their research for services, brands, and communities directly inside AI chatbots. When they get those AI answers, it heavily dictates their behavior—roughly 83% of users report that AI-synthesized recommendations make them feel significantly more confident in their final choices or vendor selections.

AI Is Reading the Coverage, Too

Every time someone asks ChatGPT, Perplexity, or Gemini a question about a healthcare organization, a new master-planned neighborhood, or which senior living facility is best for their loved one, those tools have to pull from somewhere.

But it goes beyond structural brand research. Consumers are increasingly treating AI as a real-time local concierge. They aren’t just searching for corporate entities; they are asking AI models what to do this weekend, what festivals are happening in their city, and which community events they should attend. In fact, roughly 76% of all voice-activated AI queries now carry specific “near me” or local lifestyle intent, as users look for real-time recommendations close to home.

When they do, those tools pull heavily from earned media, not ads.

Independent, credible coverage is exactly what these systems are trained to trust, for the same reason journalists always trusted it: because nobody paid for it to exist. Third-party earned media makes up a staggering 82% to 90% of all citations generated by major AI platforms, while brand-owned websites account for less than 15%.

In high-stakes industries like healthcare and senior care, nearly 1 in 5 search queries now return an AI-generated overview right at the top of the page. To answer those complex care questions—or to curate a list of the best regional festivals and retail experiences—these models crawl trusted news publications, local lifestyle blogs, and regional calendar media.

That means a media placement doesn’t stop working when the 24-hour news cycle moves on. If it’s the kind of story AI models pull from, it keeps quietly shaping what millions of people are told about your organization, long after the original article is old news. Traffic driven by these AI search engines is incredibly high-intent, converting into tours, inquiries, and ticket sales at 14.2%—nearly five times the rate of traditional search traffic.

What We’re Adding to Every Coverage & Impact Report

Starting this year, every Paper PR client’s Monthly Coverage & Impact Report includes a dedicated AI Visibility section, tracking:

• Citation Tracking: Which of your specific media placements are actually being cited by AI models, and which ones aren’t.
• Local Discovery & Event Footprint: Whether AI engines are pulling your festivals, community activities, and neighborhood listings into real-time regional “what to do” recommendations.
• Model Breakdown: Which AI models are actively recommending your brand—and how that footprint shifts over time.
• Algorithm Influence: Whether a targeted campaign or media push is successfully moving the needle on how AI systems talk about your organization, not just whether the coverage ran.

Getting quoted by a journalist used to be the finish line. Now it’s the starting point for a digital asset that keeps working for your brand indefinitely, but only if you know how to look for it and know how to build toward it.

The Reframe

An AI model can’t be pitched like a traditional media outlet. You can’t send Perplexity a press release and ask for coverage. But visibility can be earned the exact same way a journalist’s trust always was: through credible, independent, third-party validation that stands on its own.

Third-party earned media constitutes a significant majority of citations on major AI platforms, accounting for 84% of references, while journalistic content specifically drives 27%. Furthermore, traffic driven by these AI search citations demonstrates a high average conversion rate of 14.2%, substantially outperforming traditional organic search traffic. Schedule a consultation call to map out your generative engine strategy today at Paper PR.

Sources:

Earned Media & Citation Statistics (82%–90% Dominance, 27% Journalistic Content):

• Pulled from the comprehensive analysis of over 1 million AI citations in the Muck Rack “What Is AI Reading?” Report.
• Additional analysis tracking platform behaviors is detailed directly on the Muck Rack Blog Insights. [1, 2]

AI Search Traffic Conversion Rates (14.2% AI vs. 2.8% Traditional Google Organic):

• Discovered through data analyzing multi-platform conversion funnels on the Opollo 2026 AI Search Benchmark Report.
• Context surrounding user intent and platform-specific conversion differences can be found on the Ivris Tech B2B AI Traffic Analysis. [1, 2]

Buyer Research & Behavioral Shift (51% Bypassing Standard Search to Start in AI Chatbots):

• Sourced from a global study of decision-makers published by PR Newswire via G2 Research.
• Extended insights regarding user sentiment and acceleration of the buying process are outlined on Demand Gen Report.