Muck Rack

Take your Muck Rack results further. Our Media Intelligence Services blend human expertise with real-time data to surface what matters - saving your team hours while helping you show ROI, track narratives, and inform better decisions.

Take your Muck Rack results further. Our Media Intelligence Services blend human expertise with real-time data to surface what matters - saving your team hours while helping you show ROI, track narratives, and inform better decisions.

Take your Muck Rack results further. Our Media Intelligence Services blend human expertise with real-time data to surface what matters - saving your team hours while helping you show ROI, track narratives, and inform better decisions.

Muck Rack is out with new measurement data today: 61% of PR pros are already tracking or planning to track AI-mentions — and an even larger 93% believe AI will reshape how we measure results. Here's what you need to know: 1️⃣ AI mentions are becoming table-stakes. 78% say tracking AI-generated mentions is important to their work 2️⃣ Visibility in LLM results is taking over as a metric. 67% believe that being seen by AI/LLM engines will soon become a core part of PR measurement. Translation: If your message isn’t optimized for AI visibility, you may be missing a layer of influence. 3️⃣ Traditional metrics still dominate — but trust is shaky. Only ~7% say they’re extremely confident in their data, which suggests: we’re measuring a lot — but the meaning we assign may need an upgrade. 4️⃣ The biggest challenge remains: linking what we do to business goals. 54% cite this as their top hurdle. As communicators, we’ve never moved out of measurement mode — it’s now about connection: connecting our work → narrative → commercial outcomes. 💡 Implications for you and your team: - Revisit your monitoring stack: are you capturing AI‐driven mentions and LLM visibility? - Expand your measurement frameworks to include those emerging signals (not just reach and impressions). - Foster greater alignment between PR outcomes and business objectives so your results resonate at the leadership table. Are you embracing the shift? The rules for measuring influence are being rewritten — and it’s an opportunity for PR to step into a more strategic, data-smart role. My brilliant colleague Raina Lazarova will talk more about this on a live webinar Thurs. Nov. 13 at 1PM ET with special guests Laju Obasaju, JD, MBA, Sarah Myles and Nicola Leske (sign up in comments!) https://lnkd.in/eRQaBBmG

My favorite machine learning model within Muck Rack to date – Automatic Pitch Placement Detection! PR pros have access to millions of new articles every day in Muck Rack. Wading through that haystack in search of the needle that answers the question “did my pitch end up getting them to write an article?” used to be time-consuming and labor intensive. Not anymore. We built a proprietary algorithm that looks for similarities between pitches sent within our platform and news content to determine whether or not the news article was likely to be inspired by the pitch. Behind the scenes, our system evaluates every article against every pitch to perform this comparison, a truly impressive engineering feat. And the best part is, users don’t even need to do anything! They’ll just start getting emails like the one shown below! Shout out to James McElveen, Alex Robertson, Christopher Bracco, Stephen A., Kirk Gustafson, Jill M. for bringing this to life. Feel free to DM me if you have any questions or would be interested in seeing how this feature works in a demo. You can also read more about this feature and few others here: https://lnkd.in/gjf8ywxG