8 AI Plays for a Marketing Agency

An agency's margin dies in the unbillable middle: reports, briefs, recaps, proposals. That's language work, and AI does language work fast, as long as client data lives in a private/business AI workspace and a human owns everything that ships. One hard rule up front: AI never invents a performance number. Ever.

Eight concrete plays:

1. Client-report writer. Paste the month's analytics export (client name masked); AI returns a plain-English report: what happened, why, and the next two moves. Turns a 3-hour Sunday chore into 20 minutes per client.
2. Creative-brief builder. Feed the kickoff-call transcript; AI drafts the brief: audience, single-minded proposition, mandatories, out-of-scope. Your strategist edits instead of starting blank.
3. Ad-variant engine. Give it your control ad and the persona; AI produces 20 hook and angle variants grouped by emotional driver, ready for testing. Volume is AI's job; taste is yours.
4. Proposal and scope drafter. Discovery notes in, scoped proposal out: deliverables, timeline, and an explicit "not included" list. The exclusions section alone kills the scope creep that eats retainers.
5. Churn-risk sniffer. Paste the last two months of a client's emails and meeting notes (names masked, private workspace); AI flags tone shifts, shrinking response times, and unresolved complaints, then drafts the save plan. Losing a $5k/month retainer you could have caught is the most expensive silence in the business.
6. Competitor teardown for the pitch. Feed a prospect's competitor's site and ad copy; AI maps their positioning and where it's soft, so your pitch opens with insight, not credentials.
7. Meeting-to-action pipeline. Every client call recording becomes a recap, an owner-assigned action list, and a client-facing follow-up email within the hour. Nothing agreed on a call dies in someone's notebook.
8. Case-study assembler. Real results data plus project notes in; structured case study out: challenge, approach, numbers, quote slot. AI formats and drafts; the numbers come only from you.

Data note: client performance data and client communications are confidential. Mask client names where you can, keep everything in a private/business AI workspace, and have an account lead review anything client-facing before it sends.

Ready-made tools from this list:

• The Client Report Writer: Turn a Raw Analytics Export Into a Report Clients Actually Read: builds "Client-report writer"
• The Competitor Teardown: Walk Into the Pitch Knowing Exactly Where the Incumbent Is Soft: builds "Competitor teardown for the pitch"

Build it now

Pick the play above that fits your business and paste this into Claude or ChatGPT to build it:

Role: You are an agency operations consultant who is also a sharp prompt engineer.
Context: I run a marketing agency. I want to build this specific play: [paste the play name and one sentence on what it should do]. Our services: [e.g. paid social, SEO, email, creative]. Team: [size/roles]. Tools we use: [e.g. GA4, Meta Ads, HubSpot, Slack, Fathom].
Task: (1) Design the play as a repeatable tool. (2) Write the exact, reusable prompt I'll paste each time, in Role/Context/Task/Format/Constraints form, with clearly labeled [BRACKETED] fields I swap in. (3) Spell out the human-in-the-loop checkpoint and the data cautions: client data stays in a private/business workspace, and AI never invents a performance number. (4) Show one worked example using realistic but 100% fictional client data.
Format: A short setup section, then the ready-to-paste prompt in a code block, then the example.
Constraints: Assume no technical skills and only the software we already use. The tool has to save real hours in week one.