Blog
Blogs on building AI-native GTM
Alpha: The Economic Driver of GTM
Every revenue channel has a period where it is underpriced, underexploited, or not yet saturated. Whoever finds that window first gets an advantage, whoever executes it better turns the advantage into revenue, and whoever systemises it makes the whole thing repeatable. Traders have had a word for this for a long time, and alpha turns out to be the most useful way to think about gtm as well.
What Are Buying Signals? All 27 Types, With the Public Record Behind Each One
Fit tells you which companies could buy. Only a signal tells you when. A buying signal is a change, at a named company, on a known date, that you can go and check for yourself. This is the full landscape of 27 signal types in nine groups, the public record behind each one, and why several signals landing on the same company inside a week is the thing worth acting on rather than any single alert.
The MSP AI Maturity Framework: How AI-Native Is Your GTM?
Most teams calling themselves AI-native are at L1. It's the same scattered go-to-market, just typing faster. The AI Maturity Framework has six rungs: Manual, Assisted, Integrated, Owned, Connected, Autonomous. Each rung has a specific wall above it. No context graph, no named owners, no command centre, no trust in long-horizon loops. Locate your rung honestly, find the wall directly above you, and build the one thing that clears it. Adding more agents is the generic wrong move at every level.
10 Ways to Improve B2B Marketing With Agents
Marketing leaders are experimenting with AI agents but building in silos. The true advantage comes when you have a clear strategy. From AI-assisted persona targeting to competitor signal scanning, these 10 applications show how a unified agent layer transforms B2B marketing performance.
Why AI Content Sounds Generic (And What Actually Fixes It)
Generic AI content has four causes: training data distribution, RLHF typicality bias, probability mechanics, and the writer's prompt. Only the last one is under your control — and context engineering is how you fix it.