Inside the 19 engines
How the GrowthGiant engines compose — from signal capture through content, distribution, conversion, retention, and the data network effect.
Four groups, one system
The 19 engines fall into four categories: intelligence, content, distribution, and revenue. Each engine is useful on its own, but the moat is in how they talk to each other.
Intelligence: what the market is telling you
Social signal intelligence, competitor intelligence, revenue intelligence, data intelligence, and market expansion all feed the same brain. New signals become content briefs, ad hypotheses, and lifecycle experiments — automatically.
Content: from brief to native asset
AI viral content and AI video generation turn a topic into platform-native drafts and shorts. Brand voice, personas, and banned terms are enforced at generation time — not fixed in review.
Distribution: consent-first everywhere
Publishing, social engagement assistant, trend response, autonomous ad optimizer, network effect, and creator CRM handle everything that reaches an audience. Every audience touch is either your own channel or an opt-in relationship.
Revenue: capture, convert, retain
Lead capture, smart CRM, sales funnel orchestration, customer retention, and product lifecycle growth turn attention into revenue and revenue into more revenue.
The 19th engine
The AI data network effect is what happens when the other 18 have been running for months across many tenants. Every performance signal improves the recommendations for the next customer. That's a moat you can't clone — only grow.