Glossary

The Systems-Led Growth glossary

The language of the category, defined. Every term below is part of one connected idea: growth that comes from systems, not single channels.

01 Systems-Led Growth SLG

A go-to-market approach where growth comes from connected, AI-run systems rather than any single channel, tactic, or amount of headcount. One input compounds across content, inbound, outbound, and ABM, and success is measured by pipeline.

Read the full definition →
02 Brand Brain

A structured source of truth that captures a company's voice, positioning, proof, and point of view in a form AI systems can use, so every output sounds like the brand instead of generic AI.

The Brand Brain is what separates a real system from a pile of prompts: it's the context every workflow pulls from.

Score your context with the audit →
03 Pipeline over pageviews

The principle that go-to-market work should be judged by the revenue pipeline it creates, not by traffic, impressions, rankings, or other vanity metrics.

I deleted 140,000 visitors a month on purpose →
04 Pipes before chocolate

Build the plumbing, the systems and infrastructure that move and compound work, before the shiny, surface-level tactics. The pipes are what make the chocolate (the visible output) worth anything.

The idea behind the book →
05 AI ABM

Account-based marketing executed through AI-run workflows: account research, personalized pages, and outreach generated from one source of truth, so a lean team can personalize across many accounts at once instead of a few by hand.

Systems-Led Growth vs ABM →
06 Go-to-market system GTM system

The connected set of workflows, content, inbound, outbound, ABM, that a company runs as one system instead of as separate, siloed motions.

07 AI-run workflows

Repeatable go-to-market processes executed largely by AI, where humans set the direction and judgment and the system handles the logistics.

Agentic AI vs workflows →
08 Source of truth

A single, structured store of a company's facts, voice, and positioning that every workflow and AI output pulls from, so nothing drifts or contradicts.

In a Systems-Led Growth system, the source of truth is usually the Brand Brain.

09 Content engine

A system that turns one input, a sales call, a podcast, a customer story, into many on-brand outputs across the funnel, instead of producing one-off pieces by hand.

Systems-Led Growth vs content-led growth →
10 Lived-experience moat

The durable advantage that comes from real, operated experience and proprietary data, the thing an AI model can't fake, because it never did the work.

11 There are no low-level tasks

The idea that AI should be pointed at the expensive, high-judgment work that actually moves revenue, not just the rote chores. In a well-built system, the 'grunt work' and the strategic work are the same pipeline.

The episode with Brian Sowards →
12 Answer Engine Optimization AEO

Optimizing content to be cited by AI answer engines like ChatGPT, Perplexity, and Google's AI overviews, earning the answer itself, not just a ranking on a results page.

What is Answer Engine Optimization? →
13 Skeleton crew

A deliberately small team that runs many go-to-market motions through systems, rather than scaling output by adding headcount.

Systems-Led Growth vs sales-led growth →
14 Compounding assets

Go-to-market outputs built inside a system so each one makes the next cheaper and stronger, instead of decaying like one-off tactics the moment a competitor copies them.

Systems-Led Growth vs growth hacking →
15 The taste layer

The human judgment, what to make, what to kill, what's actually good, that becomes the entire game once AI makes raw output free.

AI didn't create mediocre content →
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