AI for Marketing Agencies

Agencies live and die on margin, and the work that wins clients is the work nobody can really automate. Strategy, creative, the relationship itself. The work that destroys margin (reporting, drafting, audits, briefs, content variants, social copy at volume) is exactly the work that's suddenly automatable in a serious way.

The agencies that figure out which is which over the next couple of years will be running with materially better margins than the ones that don't.

Where we plug in

• Reporting. The system pulls from GA4, ad platforms, CRM, and whatever else you happen to use, generates the client deck, and flags anomalies. The same output your team would normally produce at eleven on a Sunday night, produced automatically by Friday afternoon.
• Content drafting. First-draft blog posts, ad variants, social copy, and email sequences, written in the brand voice you've trained the model on. Humans edit afterward. Nothing ships without a review step.
• Briefs and audits. SEO audits, competitive scans, content gap analyses. Hours of research turned into an hour of review.
• Internal search. Making every campaign, brief, and case study you've ever produced actually findable by the people who could reuse pieces of them.

What we don't recommend

Letting the AI run strategy. Letting it post unreviewed. Selling clients a product where "AI" is the differentiator, because clients will eventually see through that and the differentiator is supposed to be the work itself. The AI is just what lets you produce more of it per person.

What this actually does to the business

It changes the unit economics of execution. The agencies that have done this well are taking on more accounts per producer without burning their teams out in the process. Talk to us about what your specific operation looks like.