Company search
Ask Swan to find companies matching criteria like industry, employee count, revenue range, headquarters or operating location, company age, tech stack, or keywords on their website — and it returns a preview list at no cost in credits. This is a good way to build a first-pass list before committing to enrichment on any of them. Filters must use valid values the underlying data provider recognizes — for company size ranges, revenue bands, industry categories, and so on. Rather than guessing, Swan looks up valid options first (for things like specific technologies, industry categories, or intent topics) so a search for “companies using Snowflake” resolves to the exact value the provider expects instead of failing on a near-miss spelling.Similar companies and lookalikes
Given one known company domain, Swan can return ranked lookalikes and competitors with similarity scores. The default is 20 results and the maximum is 50; the top 20 can include a reason for the similarity, while later results include scores only. Ask for this when expanding from a strong customer or target account, or when mapping a competitive landscape. Unlike filter-based company-search previews, similar-company lookup is paid: it costs 1 credit per 5 companies returned, rounded up. The default 20 results therefore cost 4 credits. No credits are charged when no matches are found. Use company enrichment separately when you need full firmographics for a promising result.People search
The same free-preview approach applies to finding people: search across all companies, or within one specific company, by title keywords, seniority, department, location (or explicitly excluding a location), and how recently someone moved into their current role. This is useful both for open-ended prospecting (“find revops leaders at mid-market SaaS companies”) and for quick lookups (“does this company have a VP of Sales, and who is it”). Company and people search previews return a capped set of results per call — for a larger sequence, the agent runs the search repeatedly with different filters or pagination rather than pulling everything in one shot.Turning a prospect into an actionable contact
Preview results give you enough to judge fit — name, title, company, a snippet of firmographic data — but not a verified email, phone number, or full profile. Getting from a preview result to something the agent can actually act on (add to a sequence, hand to a teammate as a task) is where enrichment, and credits, come in. See enrichment for what that costs.Intent and event-based discovery
Beyond filter-based search, Swan can surface companies based on signals rather than static firmographics:- Bombora intent — buyer intent signals showing a company is actively researching topics related to what you sell.
- Business events — firmographic and company-level events, like funding rounds, hiring surges, or leadership changes.