What it is
Intent data is the set of behavioural signals that show a company is starting to research a solution before it takes any public action. In B2B marketing that usually means content downloads, website visits, search activity and review-site browsing on platforms such as G2 or TrustRadius. In a recruitment context it is the same idea applied to hiring: a company quietly benchmarking recruitment partners, researching a role it has not opened yet, or its leadership reading about growth moves it has not announced.
The distinction from a buying signal matters. A buying signal, a funding round, a new executive hire, an office expansion, is a discrete, often public event. Intent data is murkier and earlier: it is the research phase that frequently precedes that event, the "quiet" layer where budget and intent start to line up before anyone outside the company can see it.
By the time a role is posted or a round is announced, the quiet window has already closed for most agencies.
Why it matters
The value is timing. A consultant who reaches an account during its research phase has no incumbent to compete with, a warmer reception and a real shot at a PSL slot before the list is even discussed internally. By the time a role is posted or a round is announced, several agencies are already circling and the quiet window has closed.
The honest caveat is that most commercial intent-data tooling was built for enterprise SaaS marketing: anonymous website-visitor identification, co-op content-surge scores across thousands of publisher sites, community and product-usage tracking. None of it was designed around "this company is about to open a recruitment mandate", so it rarely maps cleanly onto a desk's BD problem. What a recruitment consultant actually needs is the hiring-relevant subset of intent, not generic web traffic.
How boilr handles it
boilr does not sell generic visitor tracking. Your AI sales employee watches for the precursor patterns that are actually relevant to recruitment, funding activity building, leadership change, expansion, tech migration, hiring-velocity build-up, across more than 10,000 sources, often days before a role is ever posted publicly. That is the same signal engine that powers buying signals, tuned to catch the earliest, quietest version of the pattern rather than waiting for the public event.
Every precursor and every outcome is recorded in the Company Brain, so the agent learns which quiet signals actually preceded a placement for your agency, not just which ones looked interesting in general. Over time your task inbox skews earlier: fewer accounts you are chasing after the fact, more accounts you are reaching while the research is still private.
