Generic AI content is a thinking problem, not an AI problem: the model was never told who the brand is. The fix is to write the brand down once in a structured form — who you are, who you sell to, how you sound, what you would never say — and have every AI task work from that, instead of prompting from scratch each time.
The AI in marketing module →A brand ontology is a structured description of a brand that an AI agent can work from: the company writeup, buyer personas, channels, content themes, the people and products it talks about, and its voice and style. Built once, it lets the same context drive a content calendar, individual posts, creatives and other marketing work consistently.
Build one free in about 15 minutes ↗Yes. Rhai teaches an applied module called AI in marketing, running 35 to 55 minutes inside a longer hands-on session, aimed at marketing teams and founder-led brands. It walks through building a brand ontology in seven steps and then using it to plan content. A real-estate variant of the module exists for developers and brokerages.
Book it as part of a session →Yes, if it has real brand context to work from. Given a brand ontology — personas, channels, themes and voice — an AI agent can plan a month of content, turn each slot into a full post, and suggest creatives. Without that context it produces content nobody wanted that anyone could have made.
Field note: an AI CMO that learns your brand →