The Problem

Building a media list sucks. It's messy, tedious, and takes time away from real work—building relationships with journalists who actually matter.

Worse, most tools optimize for volume. Send 1,000 pitches. "Scale your outreach." But journalists get 300+ pitches a week, and most are irrelevant. That's not efficiency—that's spam.

We built Medialyst to do the opposite: 10 journalists, not 1,000. Hand-matched, not mass-blasted. Fewer, better, evidence-backed pitches that respect journalists' time.

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Start Or Expand A List

Open a media list and select Add journalists. Choose the path that matches what you already have:

• By name for known journalists and outlets
• From CSV for an existing contact or media-list file
• By article URLs for the authors behind specific coverage
• By news search for journalists covering keywords, companies, people, or outlets
• AI discovery for a plain-language request in the workspace chat

See Find Journalists for the exact inputs and when to use each path.

Every path appends rows to the same table. You can start with a news search, import a CSV later, and add a known journalist without rebuilding the list.

What Happens After You Add Rows

New rows appear immediately and enrich in the background through Journalist Profile. The result brings together:

• The resolved journalist profile and contact details
• A verified email when Medialyst can find one
• Recent articles
• Campaign-fit analysis, including a match score, why they fit, and a personalized angle when pitch context is available

The pinned Sources column records how and when each row was added. Open a source cell for its trace-back detail, or use Filter · Sources to isolate one batch.

A Practical Mixed-Path Workflow

For a sustainable-travel launch, you might:

1. Run a news search for recent sustainable-travel coverage.
2. Import a CSV from an earlier campaign.
3. Add several known editors by name.
4. Paste a competitor's new article URL to add its author.
5. Ask AI discovery to find journalists at a target set of outlets.
6. Filter and prioritize the strongest matches before outreach.

The list remains available between sessions, so you can keep improving it as the story and coverage change.

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Build Your Own AI Agents

The workflow above is pre-built. But you can create custom AI agents to do exactly the research you'd do manually.

Example: Headline Generator

Say you like to write headlines in each journalist's exact style. You can build an agent that:

1. Studies recent headlines from a specific journalist
2. Analyzes why those headlines work
3. Outputs three headline options tailored to that journalist

You control the prompt, pick your preferred model (Gemini, GPT, or Claude), and set conditions for when it runs. For example: only run this agent if we have an email—don't waste time researching journalists you can't contact.

This lets you do deeply personalized pitches without sounding like every other AI-generated email. You stay in control of exactly what gets sent.

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What's Next

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Need Help?

• Email: [email protected]
• In-app feedback: Click the feedback button in the bottom-right corner