This hub collects the best Growth Unhinged writing on AI for go-to-market: real AI GTM systems in production, agent-powered plays, and what changes when your next buyer might be an AI. It's for founders, growth, marketing and sales teams who want working playbooks (with real numbers) — not AI hype.
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What's working in AI for GTM — The top 40 ways GTM teams are seeing big gains from AI, based on the 2026 State of AI GTM report.
How to build your AI GTM system — The four-layer framework (context, skills, orchestration, integrations) for an AI GTM system that compounds, with real examples from Series A–C teams.
What AI-native GTM looks like at public company scale — Inside monday.com's AI agents, which handled tens of thousands of leads and cut demo response times from 24 hours to 2 minutes.
The best AI-native GTM plays you're not running — Signal-based plays proving automation doesn't have to mean spray-and-pray. Now it doesn't have to mean manual, either.
The teams seeing real gains from AI aren't chasing better prompts — they're building systems: a context layer that knows their exact business, skills for every GTM lane, orchestration to run them, and integrations to feed them. Set it up once and every output makes the next one sharper.
How to build your AI GTM system — The missing context layer in your AI GTM stack, plus a free starter repo to set up the four layers with Claude Code.
How GTM teams are using Claude Code (and Cowork) — New data from 200 GTM operators in the 2026 Claude for GTM Pulse Report on what's actually being automated.
How to use Claude for GTM and pricing analysis — GTM and pricing frameworks packaged into Claude skills you can steal, from ICP sharpening to pricing teardowns.
Becoming an AI-native operator — How to use Claude Cowork as your Chief of Staff, and what you still need to assemble yourself.
AI made generic outreach cheap and ubiquitous; differentiation now comes from precision, relevance, and deep context around the accounts that matter. These are plays running in production — with pipeline numbers attached.
How to use AI agents for marketing — Inside advanced AI agent workflows that actually work.
The best AI-native GTM plays you're not running — Signal-based, automated plays across the funnel that go well beyond spray-and-pray outbound.
How to build a modern ABM engine — A seven-stage tactical playbook (TAM mapping to demand gen) with HubSpot, Clay, and Claude, built for B2B teams with $50k+ ACV.
What AI-native GTM looks like at public company scale — How monday.com's AI agents generated millions of dollars in pipeline last quarter at $1B+ ARR.
Buyers are spending less time on your website and more time in AI answer engines — and now agents are getting their own credit cards. Your pricing, packaging, and content need an answer engine optimization (AEO) makeover before zero-click buying arrives.
Your next customer might be an AI agent — What needs to change with pricing, packaging, and go-to-market when AI agents start buying, plus eight things to do right now.
AI-native teams look different: smaller, more technical, and built around outcomes instead of functions. The best ones pair full ownership with an AI assist on everything from data science to experiment shipping.
The AI native growth team — How Fyxer ran 514 growth experiments in 12 months (90 per engineer!) on its way from $1M to $30M ARR.
What's working in AI for GTM — Includes how teams are reorganizing around AI: the tools, the talent, and where the gains actually show up.
AI for GTM moves too fast for any one person to track. These newsletters are how I keep up — subscribe to stay current on what's actually working.
Growth Unhinged — Kyle Poyar's newsletter explores the hidden GTM playbooks behind the fastest-growing startups, with original research like the annual State of AI GTM report. It's read by more than 86,000 growth pros. If you follow one AI GTM newsletter, make it this one.
The Signal — Brendan Short breaks down what the best AI-native GTM teams are doing: how to scale go-to-market with AI and automation instead of headcount. Extremely tactical, written by someone who builds these systems for a living.
GTM Strategist — Maja Voje (bestselling author of Go-To-Market Strategist) shares GTM frameworks, examples, and research like the 2026 State of GTM Engineering, drawn from work with 750+ companies.
The AI Marketing Generalist — Kieran Flanagan (ex-HubSpot, Zapier) on how AI turns specialist marketers into 10x generalists, with weekly use cases and monthly deep-dive playbooks.
MKT1 Newsletter — Emily Kramer's in-depth B2B marketing guides and frameworks, increasingly focused on how AI reshapes marketing teams and workflows.
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This hub is updated with each new monetization report; most recent report: What’s working in AI for GTM