Why “right journalist” is harder than it looks

Finding the right journalists for a press release is one of the most common challenges in public relations. Most teams already have access to large media databases, yet still struggle with low response rates and limited coverage.

The problem is not access to journalists. It is relevance.

Traditional PR workflows rely on static categories such as technology, business, healthcare, or politics. Journalists are grouped into beats and added to lists based on assumed coverage areas. But modern journalism is fluid. Reporters shift focus frequently, follow emerging stories, and often write across multiple topics. A journalist listed under a category may not actually be working on that topic right now.

Why media lists alone are no longer enough

Legacy PR tools were built around the idea that finding journalists means searching a database and exporting a list. This approach treats relevance as static rather than dynamic.

As a result, communications teams often experience:

• irrelevant pitches
• low response rates
• duplicated outreach
• missed coverage opportunities

The issue is not the size of the media list. It is whether the list reflects current editorial behaviour.

Moving from categories to live editorial intent

Eponymos™ approaches journalist discovery differently.

Instead of relying solely on static categories, it analyses recent published stories, editorial patterns, and topic engagement to identify journalists who are actively covering relevant themes right now.

This means the definition of “right journalist” becomes more precise. It is not based on what a journalist covers in general, but what they are writing about at this moment.

A reporter who wrote about AI regulation last week is more relevant than one who was tagged as “technology” six months ago but has since moved into climate policy.

Matching stories to journalists, not databases

Eponymos™ generates journalist recommendations dynamically for each press release. The system evaluates:

• story subject matter
• recent journalist output
• thematic alignment
• coverage frequency
• emerging editorial focus

This turns journalist discovery into a live matching process rather than a static search task. The result is fewer irrelevant contacts and a higher probability that outreach reaches journalists already working on related stories.

Why relevance improves coverage outcomes

Journalists are not looking for more emails. Cision’s 2026 State of the Media Report found 82% cite audience or beat misalignment as their main reason for rejecting a pitch¹, and most journalists still prefer to be reached by email over any other channel, so the format isn’t the barrier, the targeting is.

When a press release aligns with a journalist’s recent work, it immediately answers the most important question in their inbox: “Why is this relevant to my audience right now?”

That alignment significantly increases the likelihood of email opens, responses, follow-up conversations, and eventual coverage.

The shift in journalist discovery

Finding the right journalists is no longer about building larger lists. It is about understanding editorial behaviour in real time and aligning stories accordingly.

Eponymos™ reframes journalist discovery from a database function into a relevance-driven system, where the right journalist is not someone you search for, but someone the system identifies based on what is happening in the media right now.

Key Takeaways

• The barrier to coverage is relevance, not access: most teams already have large media databases but still struggle with response rates.
• 82% of journalists reject pitches primarily over audience/beat misalignment (Cision, 2026), which live editorial-intent matching directly addresses.
• Eponymos matches journalists to stories using recent published output and topic momentum rather than static beat categories.

Sources

1. Cision, 2026 State of the Media Report.