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.
Evaluate sales prospecting tools with a sample test: account coverage, buyer-role discovery and verification depth measured against your own target universe.
Sales intelligence tools compared by the decisions they support, with a four-section account brief format that separates dated facts from inferences.
Build a coherent B2B lead generation stack by mapping four handoffs: capture, enrichment, verification, CRM routing and outreach, with owners for each stage.
A four-gate lead qualification checklist: what data shows, what only conversations surface, and why unknown records deserve enrichment, not disqualification.
An evidence-based ICP template with mandatory, preferred and exclusion tiers, named sources, freshness windows and owners, plus a worked fictional example.
Lookalike accounts are companies that resemble your best customers on the attributes that predicted the sale, found by starting from real examples rather than filters. The definition, how similarity is computed, how to choose the seed, and where lookalikes fit in a list build.
An AI SDR researches accounts, verifies contacts, personalizes outreach and books meetings - the definition, the honest capability map, the failure modes, and how to evaluate one without buying a demo.
Replace list-buying with evidence: the signals that reveal buying motion, how to score and combine them, and the pipeline machine that turns signals into booked conversations.
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.