AI marketing agent development
Hand over the repeat work.
Keep the decisions.
An AI agent can take a repeatable task off your team’s hands. We define the task with you, test it on real examples and keep a person signing off.
Rated 5 stars on Clutch.
Task definition / Prototype evaluation / Human oversight
Somerset West, Cape Town / Working globally
A few of the brands we’ve worked with
Selected work
Karo Mining / Website, SEO and AI marketing agents
Seen, and chosen,
in search
Every site we build and host has AI marketing agents keeping its SEO, AEO and GEO in line with best practice. Karo Mining’s sits near the top of Google, and almost one in five people who see it click through.
18.8% click-through rate at an average position of 5.1, August to November 2026.
Help Start / SEO, AEO and GEO
A cause that’s
easier to find
Help Start’s site has climbed in Google and now draws visitors from AI assistants, most of whom stay to read.
Average Google position from 9.4 to 4.6, August to November 2026 against a year earlier.
An AI marketing agent needs a job description
Like any new hire, it needs to know the task, the information to work from, what it may decide and who checks its work.
Your team helps write that job description first. Then the agent works within firm limits, and one of your people stays responsible for every decision that matters.
From task to tested agent
Start small.
Widen what works.
Most projects start with a task review or a small working prototype. You’ll know what it needs to demonstrate before it connects to more systems or takes on more work.
01
Choose the task
We find a repeatable task where AI can help and weigh it against simpler options. If basic automation or your current process would do the job better, we’ll tell you.
Task definition / Simpler alternatives / Success criteria
02
Set the rules
Together we set what the agent works from, what it may do and where its work gets reviewed. When it’s unsure or meets an exception, it hands over to one of your people.
Inputs and allowed actions / Review and handover points / Access requirements
03
Build and test a prototype
We build a first version and test it on real examples from your work. You see the quality of its output, its errors and where it fails, so the next decision rests on evidence.
Working prototype / Test results / Go-live recommendation
04
Plan the rollout
Before rollout, you’ll know who can access the agent, who monitors it and who owns it. Test results guide its next stage of development.
Rollout criteria / Monitoring responsibilities / Support and refinement plan
Working together
Real examples make a better agent
Your team brings real examples and explains the exceptions. We turn that knowledge into test cases and use the results to judge whether a wider build is worthwhile.
01
Define the task
Walk us through the task, how it’s done today, the data behind it and who relies on the result.
02
Plan the controls
Agree what the first version does, what it may not do, the examples it’s tested on and who reviews its work.
03
Test on real work
Build and test the agent together, recording what works, what fails and where it’s unsure.
04
Decide what’s next
Look at the results together and decide whether to refine it, widen it or try another approach.
An agent relies on the systems around it
Your content, data connections and marketing systems all affect how well it works. Our ongoing digital support keeps them working together. You’ll know up front who looks after the agent and how far it can expand.
Start with one task
Which task would your team gladly hand over?
Show us what your team repeats, checks or chases by hand. We’ll see whether an AI marketing agent could take it on, and what a first test would involve.
A 30-minute call. No brief needed.