AI Marketing

We cover the AI marketing beat differently than most publications. Most coverage of “AI marketing” treats it as a marketing-strategy discipline: how to think about generative content, how to position an AI capability in messaging, how to structure a campaign around an LLM. We do not cover any of that.

What we cover is the technical stack underneath an AI marketing system: the orchestration, the memory, the brand-voice constraints in code, the tool-use patterns for the marketing context, the integrations with CMS and CDP and ad-buying APIs, and the auditability story for a marketing system that ships copy to a paying customer.

The piece in the archive that defines the beat best is Ginger’s “AI Marketing Stacks That Don’t Suck” — the working marketing-engineering teams’ actual stack, with the credible pitches separated from the not-credible ones. Vendor coverage on this beat carries an inline disclosure where relevant.