Frequently asked questions
How Barista's agents find contacts, research competitors, generate angles, and draft content — and how it's different from the PR tools you already know.
- This is core to the platform. The Contact Discovery Agent finds journalists, podcasters, and newsletter writers actively covering your client's beat — not just traditional outlet reporters — and the Contact Intelligence Agent builds those out with pitch preferences, recent themes, career moves, and the best way to reach each one. It's a media list that builds and updates itself rather than a static database you maintain by hand.
- Yes — this is the Client Research Agent's job: building a strategic snapshot of a client's market position, competitors, and media presence, then surfacing the gaps and angles competitors haven't taken yet. This is where Barista's value concentrates most — not in watching the news go by, but in turning that landscape into a specific, actionable opening for a specific client.
- Yes — the Pitch Agent generates story angles from competitive gaps and trending narratives, connecting what's happening in a client's space to their specific point of view. It runs its own judgment about when there's something worth surfacing, rather than working off a fixed schedule.
- The Content Agent shapes research and ideas into press releases, bylines, talking points, and social copy — built to absorb each client's style and past work rather than produce generic AI-sounding copy. Drafts are cross-referenced against a client's research and recent context, so the output is grounded, not just stylistically matched.
- There's a News Scan Agent that can scan coverage relevant to a client, but it's not a background monitoring service running on a timer — it scans when it judges there's something worth surfacing, in support of the research, pitching, and content work above. If you're looking for a 24/7 media-monitoring dashboard as the primary tool, that's not the headline of what Barista does; the value is in the specific PR workflows it runs, not in watching a feed.
- Barista is MCP-native — it works directly inside Claude, ChatGPT, or any MCP-compatible tool, acting as a PR intelligence layer rather than another standalone dashboard. You can ask about news, contacts, or client context from wherever your team already works instead of context-switching into a separate platform.
- The core difference is structural: Barista is a team of task-specific agents that execute PR workflows — finding contacts, researching competitors, generating angles, drafting content — not a monitoring dashboard with AI features bolted on top. Most legacy platforms start from a database you search; Barista starts from the work you're trying to get done. It also tracks newsletters, podcasts, and independent creators alongside traditional outlets, where legacy platforms are still mostly built around a traditional-outlet database. Pricing is the third gap: legacy tools are typically priced per seat, which gets expensive fast as a team grows. Barista is usage-based with no seat caps — add your whole team and pay for what you actually use. See the full comparison to traditional PR software.
- PR pros who are done paying enterprise prices for tools that haven't meaningfully changed in a decade. If you already know AI should be part of how you work — but every platform you've tried wants you to adapt to it, not the other way around — that's the gap Barista fills. Solo practitioners, boutique agencies, in-house comms teams: anyone tired of a seat-capped database when the actual job is finding the right angle, the right contact, and getting it written, fast.
- No seat-based pricing — add your whole team and pay for what you use, rather than paying per login.