ENGAGEMENTS · MARKETING CONTEXT & AGENT SYSTEMS

Marketing AI Agents Inside Your Team's Claude or ChatGPT.

I give your marketing team a brand context file every agent reads first, then build the agents that run on it: audits that catch stale logos and copy, page scoring, a library of everything you've published, competitor claim checks, and tracking for how your brand shows up in AI answers. Everything lives in your own Claude or ChatGPT workspace, and your team owns it.

LENGTHLimble: 25 builds in ten weeks. The context file comes first, then the agents that run on it.
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Fig. 1 Pack what the model eats. Point at a compartment to open it. rest

Who it's for

CMOs after a rebrand
The old logo, boilerplate and claims still live somewhere on the web. Recurring audits find all of it and keep it found.
Teams already paying for seats
You have Claude or ChatGPT licenses. You don't have the context or the agents that make them useful.
Lean teams with big footprints
A handful of marketers own hundreds of pages and dozens of listings.

What you get

How it runs

  1. 01

    Context file

    One document every agent reads first, so the fifth agent sounds like the same company as the first.

  2. 02

    Train

    The team learns to work from the context file before the agents arrive, so they know what good output looks like.

  3. 03

    Build agents that rerun

    Start with recurring jobs nobody wants to own. Read-only agents first, then the ones that write.

  4. 04

    Hand off

    Every agent lives in your workspace, documented, with one owner on the team who can change it.

Proof

Limble

Summary: The CMO asked for a marketing brain in his second week. Ten weeks later he had eight agents running off one context file, each owned by someone on his team.

  • Three agents hunted down the old logo and company description anywhere they still lived on the web and handed each fix to an owner. They rerun at the next brand refresh.
  • A monthly check of every competitor claim against public data, so product marketing hears about a shaky claim before a rep gets hit with it on a call.
  • A page scorer that ranked fixes for every key page, and found most gaps lived in a few shared templates, so a handful of fixes moved hundreds of pages.
  • AI answer tracking, a knowledge-graph entry, and a content librarian built to cut a 30-to-60-minute hunt for the right customer story to under two.

Read the case study

Questions

Q.01What marketing agents should a team build first?

Jobs that repeat and that nobody enjoys: auditing public pages for stale logos and copy, scoring website pages, indexing everything you've published, and checking competitor claims. Agents that rerun on their own pay back fastest.

Q.02Do we need developers to build marketing agents in Claude?

Not for most of it. A brand context file, skills and project instructions get a marketing team a long way inside its own workspace. Engineering comes in when an agent needs a live data feed from another system.

Q.03Can an agent track how our brand shows up in AI search?

Yes. One of the builds runs your buyers' questions through AI answer engines and tracks whether your brand appears and how it's described. I run the same kind of system on my own brand every week.

Q.04Who owns the agents?

You do. Agents, configurations and outputs built for you live in your workspace. I keep the method.

Q.05Claude or ChatGPT?

Whichever your team already lives in. The context file and the method carry across both.

Q.06How fast does it ship?

At Limble the team had 25 builds in ten weeks. The context file came first, about two weeks in, and the first audits followed right after.

Read more

A few brands a year. If yours is one, reach out.

Get in touch

DREW@THEBRAINCHILDLAB.COM