Articles on where go-to-market data is going, playbooks you can run today, and reports on what the data says - written by the team building the agents that source, enrich, verify and deliver it.
Explore 64 guides to AI agents, prospecting, business data and reliable delivery, with examples and sources.
A five-gate workflow for turning intent signals into ad-ready audiences: fit conditions, signal windows, exclusions, owner review and platform eligibility.
Twelve questions to ask intent data providers before a pilot, plus a blind holdout design that tests the signal itself and keeps small-sample lift honest.
A concrete intent signal scoring model that weights hiring, funding, technographic and intent signals by recency, fit and strength - with a worked example.
Compare first-party vs third-party intent data by provenance and verifiability, and see why blended, scored signals beat committing to a single feed.
A five-step method to turn a target technology into a verified account list: technographic sources, a worked agent workflow, and CRM delivery.
Common Room stitches signals from your community, product and web presence into one person-and-account graph for sellers. AstroFabric watches the whole market for hiring, funding, technology and intent signals and runs the data work behind them as agent missions. The honest map, with September 2026 pricing.
The two public signals that name a company’s stack and its next initiative, how to read each, the matrix that combines them into a ranked list, and the weekly machine that turns the list into verified people with an evidence-first opener.
A triage system for B2B buying signals: separate observed facts from hypotheses, screen for fit first, set expiry windows, and log kill conditions.
Postings and raises are companies describing their plans on the record. How to read hiring shape, interpret funding behavior, and turn both into the momentum read that times outreach and account plans.
How to treat B2B intent data as evidence: separate fit from activity, record resolution confidence and signal age, and set explicit thresholds before acting.
Open a workspace and the playbook library is waiting - describe the outcome and the agents carry it end to end, on your plan's monthly credits.