For your marketing team

AI marketing with a specialist in every channel

Everyone can generate content now. We pair AI with your data, your brand and our SEO, PPC and social specialists, so what goes out actually performs, and you can see what it earned.

Take the AI Readiness Check See the tasks

Example tasks

SEO content

Ad copy and variations

Social content calendars

Visibility in AI search

SOUND FAMILIAR?

Content takes forever

Blogs, posts and product copy always behind.

SOUND FAMILIAR?

Reports nobody reads

Numbers from every platform, no clear answer.

SOUND FAMILIAR?

Invisible in AI search

Customers ask ChatGPT and your brand isn't mentioned.

8 Marketing tasks AI can handle

Each one built in the tools you already use, with a person approving anything that matters.

AI CONTENT AND MARKETING

SEO content

Pages and articles built around what your customers search for, edited by an SEO specialist.

How we do it AI CONTENT AND MARKETING

Ad copy and variations

More versions to test, built from what's already converting.

How we do it AI CONTENT AND MARKETING

Social content calendars

A month of on-brand posts, planned around your goals.

How we do it AI-NATIVE WEBSITES

Visibility in AI search

Content and structure that gets you cited by ChatGPT, Gemini and Google's AI answers.

How we do it DATA ANALYSIS

Campaign reporting written for you

Every channel in one report, explained in plain English.

How we do it DESIGN SYSTEMS FOR AI PLATFORMS

Brand templates and design system

Your brand set up so every post, deck and ad comes out on-brand.

How we do it AI CONTENT AND MARKETING

Email personalisation

Campaigns tailored by customer and behaviour, not one blast for all.

How we do it AUTOMATIONS

Review responses

Thoughtful replies to every review, drafted for your approval.

How we do it

HOW IT WORKS

Five jobs, one joined-up flow

Here's how the first five tasks connect, with AI doing the legwork and your team approving what matters.

01SEO content: Pages and articles built around what your customers search for, edited by an SEO specialist.
02Ad copy and variations: More versions to test, built from what's already converting.
03Social content calendars: A month of on-brand posts, planned around your goals.
04Visibility in AI search: Content and structure that gets you cited by ChatGPT, Gemini and Google's AI answers.
05Campaign reporting written for you: Every channel in one report, explained in plain English.

AI + Experts + Your Data

Any one of these on its own falls short. Together they give you the speed of AI with answers you can trust.

Does the heavy lifting

Drafts content, ads and reports at speed.

EXPERT

Checks it's right

A channel specialist edits, checks and decides strategy.

YOUR DATA

Keeps it grounded

Your search, sales and campaign data decides what gets made.

Start with one task, then build from there.

No big transformation projects. We find the one thing worth doing first, prove it with a pilot, then keep building month by month.

01 · 3 MINUTES

AI Readiness Check

Seven questions and a straight answer on whether AI fits your business yet.

02 · 1 DAY

1 Day Business Analysis

A day with your team to find the quickest wins. Free for a great fit.

03 · 2 TO 4 WEEKS

Pilot Build

One workflow built, tested and handed over, so you see it working first.

04 · MONTHLY

Monthly Support

Monitoring, training and the next build. Leave at the end of any month.

IN DEPTH

The detail, in 8 short parts

01 / 08

What Is AI In Marketing?

AI in marketing means using artificial intelligence to plan, create, run and measure your marketing. For a small or medium business, that usually covers content creation, ad copy, social media posts, email personalisation, campaign reporting and making sure your brand shows up when customers ask AI assistants for recommendations.

AI marketing tools have made it easy to produce a lot of content quickly. That's the problem. If everyone can generate a blog post in seconds, volume alone won't win. What wins is content that's built on your customer data, sounds like your brand, and is checked by someone who knows the channel.

That's the approach we take. AI does the heavy lifting. Specialists in SEO, PPC, social and email decide the strategy and edit the work. Your data decides what gets made. Together they beat any one of them on its own.

02 / 08

How AI Marketing Works

Most AI marketing combines three kinds of technology. You don't need to understand them in depth, but it helps to know what each one does.

Generative AI for content generation

Generative AI tools such as ChatGPT, Claude and Gemini write and edit text, and other tools create images and video. They're good at first drafts, variations and repurposing content across channels. They need a clear brief, your brand guidelines and a human editor to create content that's accurate and on brand.

Machine learning and predictive analytics

Machine learning models look at historical customer data, purchase history and customer behaviour to spot patterns. Predictive analytics uses those patterns to estimate future events, such as which customers are likely to buy again or which leads are worth chasing. Ad platforms like Google and Meta already use machine learning to decide who sees your ads. Most of these tools are built on artificial neural networks, but you don't need to know how they work to use them well.

Natural language processing and sentiment analysis

Natural language processing lets AI systems read reviews, comments, emails and customer feedback at scale. Sentiment analysis sorts them into positive, negative and neutral, so you can see what customers like, what annoys them and where to respond first.

03 / 08

How AI Can Be Used In Marketing: Practical Examples

Here are the marketing tasks where AI tends to pay off first for an SME. Each one is built in tools you already use, with a person approving anything that goes out.

Content marketing and search engine optimisation: pages and articles planned around what customers search for, drafted with AI and edited by an SEO specialist.
Ad copy and testing: more headline and description variations, built from what's already converting, so your campaigns learn faster.
Social media marketing: a month of on-brand social media posts planned around your marketing goals, ready for approval.
Email marketing and audience segmentation: campaigns split by customer type and behaviour, so each group gets something relevant.
Reporting and data analysis: every channel pulled into one report, with plain-English actionable insights on what worked and what to change.
Review responses: thoughtful replies to every review, drafted for your approval, which helps customer satisfaction and trust.
Visibility in AI search: content and structure that helps ChatGPT, Gemini and Google's AI answers understand and cite your business.
Brand templates: a design system so every post, deck and ad comes out on brand.

04 / 08

Marketing Automation And AI: What's The Difference?

Marketing automation is software that runs repeatable marketing tasks for you, based on rules. Send this email when someone signs up. Add this tag when someone clicks. Post this update on Tuesday at 9am. Tools such as Klaviyo, Mailchimp and HubSpot have done this for years.

AI adds judgement to marketing automation. Instead of one fixed email for everyone, AI can personalise customer experiences based on what each person has viewed or bought. Instead of a fixed send time, it can pick the best time for each contact. Workflow automation tools like Make, Zapier and n8n can join the steps together, so data entry and copying between systems stops.

AI agents go a step further, handling a series of marketing tasks with less hand-holding. They're promising, but for most SMEs we recommend keeping a person in charge of anything customer-facing for now.

05 / 08

Why AI, Specialists And Your Data Beat AI On Its Own

AI generated content without a strategy behind it tends to sound the same as everyone else's. It can also be confidently wrong. That's bad for consumer trust and bad for search rankings.

Our model puts three things together. The AI drafts content, ads and reports at speed. A channel specialist edits, checks facts and decides the strategy. Your search, sales and campaign data decides what gets made in the first place. That's the difference between more content and better marketing efforts that achieve your marketing goals.

It also gives you a real competitive advantage. Your competitors can use the same AI tools. They can't use your customer insights, your data or your brand.

06 / 08

Measuring Marketing ROI With AI

Marketing teams in SMEs often have numbers from every platform but no clear answer. AI helps by pulling data from Google Analytics, Search Console, ad platforms, email and your sales system into one place, and explaining it in plain English.

That makes marketing decisions easier. You can see which marketing campaigns brought in customers, not just clicks, and move budget to what works. Over time, that's how AI improves marketing ROI: less waste, faster learning and clearer reporting.

07 / 08

Responsible AI Adoption In Marketing

AI adoption in marketing comes with real risks, so ethical AI usage matters. Here's how we handle it.

A person approves everything that's published or sent to customers.
Facts, prices and claims are checked before anything goes live.
Consumer data is handled under UK GDPR and PECR, with proper consent for email and tracking.
We're clear about which AI tools see your data and where it's stored and processed in the UK.
Your data isn't used to train public AI models.
Your brand voice and guidelines are set up first, so AI output sounds like you.

08 / 08

Choosing AI Marketing Tools For Your Business

There are hundreds of AI marketing tools and new AI tools appear every week. You don't need most of them. Start with the AI capabilities already inside software platforms you use, such as Microsoft 365 Copilot, Google Workspace with Gemini, Canva, HubSpot or Shopify, then add specialist tools only when there's a clear gap.

When you compare options, look at AI integration with your existing systems, the quality of output for your brand, how it handles your data and what it costs once the whole team uses it. Keep an eye on emerging trends and future trends, but pick tools for the job you need done today.

Getting started is simple. We begin with a 1 Day Business Analysis to find the marketing task worth doing first, build a pilot for from £1,500, then support and extend it month by month from £750 a month.

FAQ

Common questions

How can AI be used for marketing?

AI can be used to plan and draft content, write ad variations, schedule social media posts, personalise emails, segment audiences, analyse campaign data, respond to reviews and improve visibility in AI search. For SMEs, the best results come when a person checks the output.

What is meant by marketing automation?

Marketing automation means using software to run repeatable marketing tasks automatically, such as welcome emails, abandoned basket reminders, lead nurturing and social scheduling. AI makes it smarter by personalising content and timing for each customer.

What are some examples of marketing automation?

Common examples include welcome email sequences, abandoned basket emails, birthday offers, lead scoring, review requests after a purchase, scheduled social posts and weekly reports sent automatically.

What is the best AI for marketing?

There isn't one best tool. ChatGPT, Claude and Gemini are strong for writing and research, Canva for design, and tools like HubSpot or Klaviyo for automation. The right mix depends on your channels, your data and your team.

Is there any AI for marketing that small businesses can use?

Yes. Many AI marketing features are built into tools small businesses already use, such as Google Ads, Meta Ads, Canva, Shopify, Mailchimp and Microsoft 365. You can start without buying anything new.

AI for the rest of the business

Finance

Sales

HR and People

Operations

See which marketing tasks would pay off first

Seven quick questions and a straight answer. A great fit gets a free 1 Day Business Analysis.

Take the AI Readiness Check Book a call