AI for Marketing.
Use AI for the marketing work that repeats. Skip the rest.
Most AI marketing pitches are slop generators. A few uses actually save your team hours every week. We separate the two, build the ones worth building, and leave the work that still needs a human to a human.
The work that actually pays back is boring. A custom GPT trained on your brand voice and your top 50 winning posts, used to draft first versions of social copy. A workflow that turns a customer call recording into a structured case-study brief in 5 minutes instead of 90. A weekly SEO brief generator that pulls SERP data and outputs a one-page outline your writer fills in. A creative-variation tool that spits out 12 ad headlines for a manual cut. Each one saves 2 to 8 hours a week. None of them makes a press release.
The lie everyone is selling is 'AI will run your marketing'. It will not. It cannot write a brand voice it has not been trained on. It cannot run a strategy. It cannot pick which channel to bet on next quarter. What it can do is take the 30 percent of your team's week that is drafting, summarizing, repurposing, and reporting, and cut it in half. That is not a transformation. That is a discipline of pointing AI at the right tasks and leaving the rest alone.
We run it the same way every time. We sit with your marketing team for half a day, you walk us through the week, we find the 3 to 5 places where work repeats. We build the smallest version of each automation that works, you use it for two weeks, we iterate. By month two, the team has 6 to 12 hours back a week and they spend it on the work that actually moves the business. The CMO does not have to learn what an LLM is. The team uses the tool and gets on with the job.
- 20 yrsDoing this professionally, 40,000 hours of it
- 1,000+Entrepreneurs helped
- 1.6M+Views on 150+ how-to videos. Check the work before you buy
Industry benchmarks, not our client data
The gap ai & data has to close
- 4 hours A repeated weekly task nobody has looked at, still done by hand
- Under 1 hour The same task once it is automated, on the workflows where this works at all
Adoption among smaller businesses has roughly doubled in two years and still sits under 40 percent, against about 72 percent of large enterprises. The gap is not access to the tools. Everyone has the same models. It is that nobody has sat down and worked out which repeated task is worth automating first.
The honest scope: this works on well-defined, repetitive, text-and-data work, and it does not work on judgement calls or anything where being wrong once is expensive. You will see a 35 percent operating-cost reduction quoted around AI adoption. It is self-reported by the people who bought it, so treat it as a reason to run one pilot on one real workflow and measure it, not as a number for a business case.
Source: 2026 SMB AI adoption and automation reports (time savings and cost reductions are self-reported)
This is for you if
- Your team is 'using AI' and you cannot point to one hour it actually saved
- You are paying for four AI tools and using one of them
- You want to automate ad copy, briefs, or reports and do not know where to start
- You are worried about being left behind and do not know what is actually worth adopting
What it costs
No proposal theatre. These are the real numbers, and the full list for every service is on the pricing page.
- $140£110/hr Standard Consulting Strategy, audit, custom GPT setup, brief automation, and team training. Most engagements run 10 to 30 hours upfront, then a small monthly retainer.
- $190£150/hr Advanced Technical Workflow automation builds on Zapier, Make, or n8n, custom API integrations, and bespoke tooling. Used for the heavier builds.
Need a number for your situation?
The prices above cover the standard engagement. If yours is bigger, messier, or does not look like any of that, tell us where you are and what you are trying to fix and we will come back with a straight price and a timeline. No lock-in, no "discovery phases", no surprises.
What this looks like when it works
- Your marketing team gets 6 to 12 hours back a week and spends it on the work that actually moves the business
- Content output doubles without doubling the team, because the first draft is no longer the bottleneck
- Ad creative variation goes from 2 angles per campaign to 8 or 10, and your CTR climbs because of it
- Weekly reporting becomes a 10-minute review of a generated draft, not a 4-hour build from scratch
- You stop paying for AI SaaS tools whose only feature is 'AI inside', and the ones you keep do something measurable
How we approach ai for marketing
The handful of principles that decide what we do and what we skip.
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AI drafts, humans publish
The model writes the first version. A human edits and ships. We do not let AI hit publish unsupervised on anything customer-facing.
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Train it on what already works
Generic AI sounds generic. AI trained on your 50 best posts sounds like you. We train, not just prompt.
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Measure the hours saved
Every workflow has a number on it. 'This saves 3 hours a week.' If we cannot put a number on it, we do not build it.
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Boring beats clever
A reliable workflow that runs every Monday beats a fancy agent that breaks on Friday. We pick boring on purpose.
Questions owners ask before they commit
Isn't AI marketing just generic content?
That is the lazy version, and it shows. We use AI for the repetitive marketing work, the drafts, the variations, the research, and keep a human on the judgement, so it saves you time without sounding like everyone else.
Will AI content hurt my Google rankings?
Bulk AI slop will. AI used as a first draft a human sharpens is fine, and Google cares whether the page helps the reader, not which tool typed it first. We use it that way.
Where does AI actually help me, specifically?
In the work that repeats: ad variations, first drafts, summarising research, sorting responses. We find those spots in your week and automate them, and leave the strategy and the voice to people.
How we compare to the alternatives
The honest sales argument. We will not pretend the other options do not exist.
Doing it yourself
- You and your team learning every platform from scratch
- The work eats nights and weekends
- Hard to tell what is actually working until you have burned the budget
- One channel at a time because you cannot run them all yourself
- Pricey mistakes you eat alone
With Mujgos
- An operator who has actually shipped this work for paying clients
- Plain-English plan, plain-English reporting, no PDFs to interpret
- Fixed scope, real deadline. No 12-month contracts
- Decisions in 48 hours, not 4 weeks
- You keep the keys to every account, tool, and asset
Typical agency
- Junior staff in a process they cannot change
- Dashboards that confuse instead of clarify
- 12-month contracts and cancellation clauses
- Cookie-cutter playbooks they run on every client
- Padded retainers that grow quietly over time
How working with us actually goes
No 12-month contracts, no jargon, no lock-in. You pick what you need, we do the work, and you keep the keys.
- 01
Diagnose
A free 30-minute call. We figure out where you really are and what the next dollar of effort should go to.
- 02
Plan
We write the next 90 days with you. What to do first, what to skip, what to spend. So you stop guessing on Monday.
- 03
Build
We do the work. Fast and on a fixed price, not on hours billed.
- 04
Grow
Ongoing playbooks and a Slack thread or call when you're stuck. You run the business. We're the brain you call when something is off.
More inside AI & Data
- AI Automation Automate the work that repeats. Keep the humans on the work that doesn't.
- Data & Analytics Five numbers in your inbox on Monday morning. Not a 12-tab dashboard nobody opens.
- Machine Learning Consulting Find out if you actually need ML before you spend a fortune building it.
- Conversational AI Build a chatbot only when it earns its keep. Most don't.
Ready when you are.
Pick the offer that fits. We'll meet you there.