When a client needs to expand from a handful of winning accounts, lookalike search is the fastest honest way to do it, and Ocean.io is one of the tools we reach for. It is a B2B account-discovery platform built around that lookalike engine: feed it a sample of your best customers or a described profile and it returns ranked companies that closely resemble them. It pairs that engine with company and contact data, email and phone enrichment, and verified counts where you only pay for confirmed records. Filters let you tune the list by firmographics, region, and growth signals before a clean export. In a GTM stack Ocean.io sits at the top of the funnel as a TAM-mapping and account-discovery layer that feeds the CRM, enrichment, and outreach tools downstream. It answers the who-should-we-target question before any contact data or sequencing logic comes into play. At Nebor we feed a client's closed-won accounts into Ocean.io, often alongside Discolike, when the goal is to map a niche TAM or build out from a few proven wins. The lookalike output goes straight into a Clay table. There the companies get enriched, scored, and routed into the outbound system rather than left as a one-off export. That keeps the pipeline pointed at real fit instead of a guessed-at filter.