AI Marketing for Technology Businesses
AI marketing agents built around your voice, your services and your partner programs, set up by senior marketers and backed by training so your team uses them well. More output from the same team, and nothing published that wouldn’t pass your review.
AI that sounds like you, led by senior marketers.
AI marketing is the use of AI tools to plan, create, repurpose and measure marketing work. For a technology business, that usually means faster first drafts of articles, social posts, case studies and web pages, with your people reviewing everything before it’s published.
We set it up properly: agents trained on your voice and expertise, a clear AI policy, and training your team will actually use.
- AI agents that sound like your business
- Training your people will use
- A clear AI policy for marketing
- Human review on everything that goes out
Six things we hear from technology businesses
- Buyers ask AI first. IT buyers now put their questions to ChatGPT, Copilot and Google’s AI answers before they shortlist a provider. If your expertise isn’t written down clearly, AI can’t find it or quote it.
- One marketer, ten jobs. Many MSPs and systems integrators have one marketer running social, the website, events, vendor campaigns and co-op claims. AI can multiply what they produce, if it’s set up properly.
- Your experts don’t have time to write. Your engineers and architects know the most and write the least. AI can turn a 15-minute conversation into a first draft.
- Everyone’s already experimenting. Staff are using AI tools with no shared policy, no consistent voice and no view of what client information goes in.
- Tech buyers spot generic AI fastest. Your audience uses these tools every day. Agents trained on your voice and expertise sound like you, not like a chatbot.
- If you sell AI, your marketing should show it. Clients expect a provider selling AI services to use it well. Your own marketing is the first proof.
Six AI agents,
built for tech businesses
An AI agent is a set of instructions, knowledge and examples that turns a general AI tool into a specialist for one job in your business. These are the six we build most often.
Thought leadership
Turns an engineer interview, project notes or a voice memo into a first-draft article in your voice
Social media
Drafts LinkedIn posts for the company and for founders and leaders, ready to edit and approve
Case studies
Turns project notes and client outcomes into case studies, with every claim checked
Partner campaigns
Drafts vendor-aligned campaigns and the documentation co-op claims need
Website and Marketplace
Drafts service pages, FAQs and Microsoft Marketplace listing copy
Research
Summarises vendor news, competitor activity and industry updates so planning starts from the facts
Strategy and audit
We start from your marketing strategy, then map how your marketing gets done today and pick the few places where AI saves the most time at the lowest risk.
Guardrails
We set an AI use policy for marketing: approved tools, what can and can’t go in, who reviews what, and how vendor rules apply.
Build and train
We build agents around your voice, services and vendor rules, test them on real work, then train your team to use them well.
Review and improve
We review how the agents are used and keep improving them as your business and the tools change.
How It Works
Four steps from scattered experiments to an AI-powered marketing team, with senior marketers setting it up and your people in control of what goes out.
AI training for technology teams
Tools only help if people use them well. Our training runs as practical half-day workshops, built around your team’s real work and tailored to each group.
LEADERS
Leaders and founders
How leaders can turn their expertise into content in minutes, and what to watch for.
- Getting a good first draft fast
- Checking and improving AI output
- What never goes into an AI tool
MARKETING
Marketing team
Hands-on training on every agent we build, plus the skills to write better instructions.
- Using each agent day to day
- Writing clear instructions
- Quality, brand and vendor checks
SALES & TECH
Sales and technical teams
Practical AI for the people closest to clients, within your AI policy.
- Proposals and follow-ups
- Feeding case studies and content
- Protecting client information
We use it ourselves, every day
We run our own marketing delivery on AI agents every day, with human review on every piece. So we know where AI saves real time and where it needs a careful eye.
We also know the IT channel, from vendor programs and co-sell to long B2B sales cycles, so your agents are built for how technology businesses actually sell.
AI marketing is often paired with our fractional CMO service: your CMO sets the direction, and AI helps your team deliver more of it. Launching AI services of your own? See AI Offer Launch.
Your clients trust you with their data. So do we.
Client data stays out: agents never need personal or client information
Vendor co-branding and messaging rules built into every agent
Every claim checked. No invented statistics or unverifiable promises
A person at your business approves everything before it goes out
Business-grade tools: Claude, ChatGPT Team or Enterprise, and Microsoft Copilot
Frequently asked questions
What is AI marketing?
AI marketing is using AI tools to plan, create, repurpose and measure marketing work. For a technology business, it usually means faster first drafts of articles, social posts, case studies and web pages, with your people reviewing everything before it’s published.
What is an AI agent?
An AI agent is a general AI tool set up for one specific job, with your instructions, knowledge, examples and rules built in. A case study agent, for example, knows your format, your tone and which claims need checking.
Will AI replace our marketer?
No. It changes where their time goes. AI handles first drafts and repetitive work, so your marketer can focus on planning, campaigns and quality.
Will the content sound like AI?
Not if it’s set up properly. Your agents are built on your own content and voice, and a person edits every draft before it goes out.
What happens to our client information?
Agents are set up so client and personal information isn’t needed or entered. In line with the OAIC’s guidance on commercially available AI products, we help you choose tools with the right privacy settings.
Which AI tools do you use?
Claude, ChatGPT Team or Enterprise, and Microsoft Copilot. If your business already uses one of these, we usually build on it, so your team stays in a tool they know.
What happens to our agents if we stop working with you?
You keep them. We hand them over for your team to keep using.
Do we need a fractional CMO to use AI marketing?
No, but they work well together. AI makes a team faster; a CMO makes sure it’s working on the right things. Every engagement starts from your marketing strategy either way.
How much does AI marketing cost?
It depends on how many agents you need, how much training is involved, and whether you want a one-off set-up or ongoing support. We scope it after a first call, so you know exactly what’s included before you commit.
Is there a lock-in contract?
No. Some businesses want a one-off set-up and training. Where support is ongoing, it runs month to month with 60 days’ notice.
Can you help us show up in ChatGPT and Copilot answers?
Yes. Our agents write content structured to be found in search and quoted in AI answers, and we can audit how AI tools describe your business today.
Put AI to work in your marketing, properly.
Book a 30-minute call. We’ll look at how your team uses AI today, where it could save the most time, and what you’d need in place to do it safely.