Prompt-to-workflow building
Describe a GTM workflow in natural language and Swan turns it into an agentic workflow rather than a fixed automation chain.
Swan is an AI GTM engineer that turns plain-language go-to-market ideas into agentic workflows for outbound, intent outreach, meeting prep, and pipeline monitoring.
Swan is an AI GTM engineer for turning go-to-market ideas into agentic workflows. The homepage describes it as a way to move from prompt to pipeline, while the pricing page frames it as software that does GTM work on your behalf instead of simply providing access to tools.
The product is aimed at revenue teams that want to automate tasks such as outbound, intent-based outreach, meeting preparation, pipeline health monitoring, and closed-lost analysis. Examples on the site show Swan researching accounts, enriching contacts, drafting messages, updating CRM records, and routing work for human review when needed.
Describe a GTM workflow in natural language and Swan turns it into an agentic workflow rather than a fixed automation chain.
Agents can act on common revenue motions shown on the homepage, including outbound, intent signals, meeting prep, pipeline health, and win-back analysis.
Swan shows example actions such as researching accounts, enriching contacts, drafting messages, updating CRM records, and notifying teammates.
The product’s examples include triggers such as LinkedIn engagement, closed-won or closed-lost deal changes, meeting scheduling, website visits, and recurring pipeline checks.
The homepage positions Swan as working across the stack with CRM, enrichment, outreach, and data-provider integrations, plus Slack co-pilot access.
Pricing information indicates plans include unlimited workflows and dashboard-based review of recommendations and support interactions.
When a prospect engages with LinkedIn content, Swan can detect the engagement, enrich the profile, research company context, draft a personalized message, and either send a connection request or a direct message for review.
When a deal is marked closed won, Swan can analyze the record in HubSpot, find lookalike companies, identify the buying committee, craft messaging, and launch a multi-channel campaign.
When a deal is marked closed lost, Swan can pull CRM history, analyze loss reasons and patterns, extract competitor intelligence, identify process improvements, and share the findings with the team.
When a meeting is scheduled, Swan can pull account and contact records, review recent news and engagement, generate talking points, and brief the rep before the call.
When a website visitor shows high intent, Swan can deanonymize the company and contact, qualify the lead against ICP criteria, research the account, route it to the right rep, and launch outreach.
Swan is designed to turn a GTM idea described in plain language into an agentic workflow. The homepage says you can describe the workflow as if you were explaining it to your team, and Swan builds the agents and related steps from that prompt.
The pricing page says credits are used when Swan performs GTM work such as researching accounts, enriching contacts, drafting messages, or updating CRM records. Usage is tracked in real time from the dashboard.
The pricing page says a seat is anyone who actively converses with Swan, such as asking questions, giving instructions, or reviewing recommendations. Receiving alerts or notifications does not require a seat.
Yes. Swan offers monthly and annual commitments, and the pricing page says upgrades take effect immediately with prorated differences. Downgrades take effect at the start of the next billing cycle.
The pricing page says annual commitments include unlimited credit rollover within the 12-month term, and monthly and annual commitments both allow unused credits to roll over so they are not lost immediately.