PITCH WORKFLOW & JOURNALIST LLM
Stop pitching journalists. Start matching them.
A specialist AI trained on how journalists actually work — not a generic writing assistant with a mail-merge field.
Most PR software treats personalization as inserting a first name into a template. The Journalist LLM does something fundamentally different: it reads what a journalist has actually covered recently — their beat, their tone, their current story arc — and generates a release shaped around that, for each contact individually.
1,000,000+ journalists. Matched, not blasted.
Eponymos's journalist database spans over 1 million contacts across beats, publications, and regions. But scale isn't the point — precision is. The Journalist LLM uses that database to identify who is genuinely likely to cover your story, not just who technically covers your industry.
Beat and recency matching
Surfaces journalists actively writing about your specific topic right now, not just anyone tagged with a broad industry label
Hyper-personalization at the individual level
Every journalist gets a release shaped around their own recent coverage, not a shared template with swapped-in fields.
Tone and narrative alignment
Semantically tunes each pitch to match a journalist's typical language, angle, and story structure
How it works
Draft
Describe your story once; the Journalist LLM identifies the news value and angle.
Personalize
A uniquely tailored release is generated per journalist, referencing their actual recent work.
Match
The platform surfaces the journalists most likely to cover it, ranked by fit.
Send & track
Opens, clicks, and engagement feed back into the model, sharpening every future match.
Built-in threat, opportunity, and sentiment analysis
Every pitch is informed by real-time signal, not guesswork. The same intelligence layer that powers journalist matching also surfaces breaking opportunities and reputational risks as they emerge.
See the full Social & Sentiment Intelligence suite
Frequently Asked Questions
What is a Journalist LLM?
A Journalist LLM is a specialist AI model trained specifically on journalist behavior, coverage patterns, and media outcomes — used to match press releases to the individual reporters most likely to cover a given story, and to personalize each pitch to that reporter's actual recent work rather than a shared template.
How is this different from a media database with mail-merge personalization?
Traditional media databases let you filter journalists by beat or topic and insert a name or outlet into a template. Eponymos's Journalist LLM generates a uniquely written release for each journalist, shaped around their specific recent coverage, tone, and narrative style — not just a template with swapped fields.
How large is Eponymos's journalist database?
Eponymos's journalist database spans more than 1 million contacts across beats, publications, and regions globally.
Does Eponymos replace manual pitching entirely?
No — Eponymos is designed to make human PR judgment faster and more precise, not to remove it. Every AI-generated pitch is reviewable and editable before it's sent.