Swan vs. harp: Which Is Right for Your Team?
AI GTM engineer you build vs. AI sales team that's ready - flexibility vs. simplicity.
TL;DR
Swan is an "AI GTM Engineer" that turns natural language prompts into agentic workflows - powerful for teams that know exactly what GTM processes they want to automate. harp takes a simpler approach: a pre-built AI sales team (Prospector, Qualifier, Reacher, Booker) coordinated by Maestro. Swan is customizable. harp is turnkey.
Swan vs. harp: At a Glance
| Swan | harp | |
|---|---|---|
| Pricing | Free + $0.15/credit; Scale: $249/mo | $39 – $249/mo flat |
| Target audience | RevOps and scaling GTM teams | Founders & small teams (3–20) |
| Setup time | Minutes (prompt-based workflow builder) | ~10 minutes, conversational |
| AI approach | Custom AI workflows from natural language | Pre-built specialized agents |
| Autonomy | High - once workflows are built | High - works out of the box |
| Core model | GTM automation platform | Autonomous GTM team |
Two Approaches to AI GTM
Swan is a platform: describe any GTM workflow in plain English, and Swan builds it as an AI agent. Website visitor de-anonymization, lookalike campaigns, LinkedIn intent detection, pipeline health monitoring - you define the process, Swan executes it. Think of it as the programmable GTM layer.
harp is a team: pre-built agents with defined roles that coordinate through Maestro. You don't build workflows - you describe your customer, and the agents start working. The tradeoff is clear: Swan offers more flexibility. harp offers more simplicity.
Pricing
Swan uses a credit-based model: free tier with $0.15/credit, or Scale at $249/month plus credits. The cost depends on how many actions your workflows trigger, making it powerful but potentially unpredictable for budget planning.
harp is flat-rate: $39–$249/month with predictable costs. No credits to track, no per-action charges. For founders who want to know exactly what they're paying, harp's model is simpler.
Who Should Choose What
Choose Swan if you have a RevOps team (or mindset) and want to build custom GTM automations. If you have specific workflows in mind - visitor identification, lookalike campaigns, LinkedIn monitoring - and want AI to execute them exactly as you design.
Choose harp if you want a ready-made AI sales team, not a platform to build one. If you'd rather describe your ideal customer and let coordinated agents handle the rest. If simplicity and predictable pricing matter more than infinite customizability.
Feature-by-Feature Comparison
| Capability | Swan | harp |
|---|---|---|
| Custom workflows | Core feature - prompt-to-pipeline | Pre-built agent workflows |
| Lead prospecting | Via custom workflows | Built-in - Prospector agent |
| Website visitor ID | Built-in de-anonymization | Not included |
| LinkedIn monitoring | Intent detection and triggers | Not included |
| Agent orchestration | User-defined agent chains | Maestro auto-orchestration |
| Setup complexity | Low-code (prompt-based) | No-code (conversational) |
| Pricing predictability | Variable (credit-based) | Fixed monthly fee |
| Slack integration | Copilot for research and tasks | Not yet (on roadmap) |
The Bottom Line
Swan is the more flexible platform - if you know what GTM workflows you want, you can build them. harp is the simpler solution - if you need a sales team that works out of the box. For RevOps teams with specific automation needs, Swan delivers power. For founders who need pipeline without building infrastructure, harp delivers results.
Frequently Asked Questions
Can Swan do everything harp does?
In theory, you could build harp-like workflows in Swan. In practice, harp's pre-built agents with Maestro orchestration offer a cohesive experience that's hard to replicate from individual workflow pieces.
Is Swan cheaper?
Swan's free tier is great for testing, but credit costs can add up. For consistent outbound volume, harp's flat rate is typically more predictable and often comparable in cost.