Agent-driven GTM · written as we build it
A raw domain or email is a hint, not a record. The abm.dev Enrichment API turns a single seed into a structured, eighty-nine-field account profile —…
Read the piece →Getting company and contact data with citations and confidence scores means every enriched field carries a traceable source and a programmatic decision…
Per-field enrichment pricing was designed for humans clicking through dashboards — not for AI agents running retry-heavy loops at scale. This post makes…
Good GTM data for autonomous agents requires three structural properties: actionability (every field maps to a decision), freshness (every field carries…
Most AI SDR failures trace back to a three-layer data decay problem: bad inputs, inference that amplifies those errors at machine speed, and no audit…
Verified mailing addresses are a hard dependency for any autonomous direct mail loop — not a nice-to-have append. This post explains exactly what the…
A LinkedIn enrichment API returns work history, titles, emails, and company signals — but for AI agents running autonomous outbound, the response format…
Direct mail belongs at the top of an ABM sequence, not the bottom — as a cold, agent-orchestrated first touch that earns reciprocity before email ever…
A production architecture guide for building a headless AI SDR agent: how to wire signal ingestion, cited enrichment data, Temporal-orchestrated…
Gifting in ABM works when sends are triggered by real account signals — funding rounds, executive hires, intent spikes — not calendar schedules. This post…
Clay is a strong platform for GTM operators who want no-code workflow building — but developers building autonomous agent loops need something different:…
A builder's comparison of MCP servers purpose-built for sales prospecting — Lusha, Explorium, Prospeo, and the broader field — evaluated on whether they…
A concrete setup guide for developers who want live B2B company and contact data inside Claude Code sessions — without leaving the terminal. Covers why…
A builder-focused implementation guide for wiring B2B direct mail automation into an AI-agent pipeline using the enrichment → signal → send pattern.…
Most enrichment API comparisons rank on coverage and price — the wrong metrics for AI-agent GTM. This post builds an evaluation framework for builders…
AI SDRs hallucinate in four distinct ways: wrong company data, fabricated contact details, invented intent signals, and stale firmographics — each with a…
Agentic ABM replaces manually coordinated go-to-market plays with closed-loop, goal-seeking agent pipelines that act on verified account data without…
Startups don't need a $150K ABM platform — they need a tight target account list, verifiable data with citations, and agents that can act on it without…
Direct mail works best as a proactive, cold-capable first-touch in an ABM sequence — not a follow-up fallback. AI agents can now orchestrate the entire…
An enrichment MCP server exposes data-enrichment tools — company lookup, contact verification, account search — through the Model Context Protocol so AI…
People Data Labs returns raw data records that developers integrate themselves — a solid infrastructure choice, but a significant overhead for teams…
Most enrichment APIs charge a monthly subscription, per-field fees, or credits that expire — pricing models built for human dashboards, not agent…
HubSpot's acquisition of Clearbit and its rebranding as Breeze Intelligence — now HubSpot-exclusive after the standalone tools were sunset on April 30,…
ZoomInfo is built for a sales team with a seat and a login. If you're wiring data into a pipeline — or an agent is doing the calling — the alternative you…
What "verified" honestly means for a work email, how an API finds and checks one, and how to wire it so an AI agent can trust the result instead of guessing.
A short, honest field guide to MCP enrichment servers an AI agent can call as a native tool — what separates a good one from a REST wrapper, and how to…
Clay is the best orchestration canvas for a human building an enrichment workflow. If an AI agent is the one calling, you want a different shape — an API…
A working guide to choosing an enrichment API an AI agent can call directly — the criteria that actually matter for autonomous work, how the main options…
Apollo bundles a contact database with sales engagement in one seat-and-login platform. The right alternative depends on which half you're actually…
What an "account-based marketing API" actually is, why the term is contested (Apple Business Manager, Versium), and how to tell a real one from a rebadged…
AI SDR agents hallucinate prospect data when they lack source provenance, reconciled enrichment, and access to internal company docs like ICP definitions…
AI agents acting on bad enrichment data don't catch errors — they scale them. This post breaks down the seed-to-intelligence pipeline your AI agent…
Autonomous agents fail at machine speed when enrichment data is wrong — and most B2B enrichment APIs were designed for humans in the loop, not agent…
The abm.dev API returns company and contact enrichment data with field-level citations and confidence scores, aggregated from ten providers into…
AI agents fail when they act on unverified enrichment data at machine speed — bad emails, stale titles, confidence-free fields passed as ground truth.…