AI for marketing teams

More output from the marketing team you already have.

We sit with your marketing team, review your tools and workflow, and set up AI for content, campaigns, reporting and search visibility in your CMS, ad accounts and analytics. Then we train your team to use it, with a person approving anything that goes public.

Illustrative example

We work inside your marketing tools

  • Google Ads
  • Google Analytics 4
  • Google Search Console
  • Meta
  • LinkedIn
  • HubSpot
  • Salesforce
  • Slack

Sound familiar?

The plan is bigger than the team.

  • "We publish half of what the content plan says."

    Briefs, drafts and edits queue up behind one or two writers, so the calendar slips every month.

  • "Reporting eats Monday."

    Someone exports data from five tools into a spreadsheet before anyone can decide what to do next.

  • "Our ads haven't had a new test in months."

    Creative testing is the first thing to go when the team is busy, so performance slowly drifts.

  • "ChatGPT recommends our competitors."

    You rank on Google, but when buyers ask an AI assistant for a recommendation, your name doesn't come up.

How we help

What we set up for marketing teams

Each one is set up in the tools you already use, or new ones where they fit better, and your team reviews what goes out.

  • On-brand content drafting

    Briefs, first drafts and edits produced from your research, product facts and voice guide. An editor approves every piece before it is published.

  • Weekly campaign reporting

    GA4, Search Console and ad platform data pulled into a plain-English summary in Slack or email every week, with what changed and why.

  • Ad creative testing

    New headlines and descriptions based on what is already working, loaded into Google Ads and Meta as drafts for your review.

  • SEO operations

    Technical issues, internal links and on-page fixes found automatically and queued as tasks for your team.

  • Lead enrichment and routing

    Form fills researched, scored and routed to the right person in HubSpot or Salesforce within minutes.

  • Marketing knowledge base

    Your positioning, product facts, case studies and past campaigns in one place that every AI tool and teammate can draw on.

Example: lead enrichment and routing

Every inbound lead, researched before a rep opens it

When a form comes in, the research, fit score and first reply are ready in your CRM, and your team decides what to send.

  • A one-page brief in your CRM within minutes
  • Fit scored against your own ideal customer profile
  • A drafted follow-up that a person reviews before it is sent
Illustrative example

The goal

Be the answer when buyers ask an AI assistant

AI assistants recommend a handful of options and cite their sources. GEO is the work of making your brand one of them.

  • Clear, quotable facts on the pages assistants read
  • Consistent company details across the sources they trust
  • Your own pages cited as the source, not a competitor's
Illustrative example

Training

Your team learns to use it, not just watch it

  • Sessions by role

    Writers, editors, campaign managers and analysts each learn the part they own, on your own content and campaigns.

  • A playbook and prompt library

    Your brand rules, tested prompts and step-by-step guides, written for your team.

  • Office hours after launch

    30 days of drop-in time for questions, and training for new hires if you keep us on retainer.

How it runs

A typical marketing project

  1. Week 1: map

    We sit with your team, map the workflow end to end, and agree what success looks like in hours and numbers.

  2. Weeks 2 to 4: build

    We set it up inside your tools and show you progress every week on your real content and data.

  3. Week 5: pilot and train

    Your team uses it on live work while we run training sessions, fix rough edges and tune quality.

  4. Week 6: launch

    We hand over the playbook and documentation, then track usage and results from day one.

FAQ

Questions marketing leaders ask

Will AI-written content hurt our SEO?

Search engines reward content that is useful and accurate, however it is produced. The drafting we set up starts from your own research and product facts, and an editor approves every piece. The goal is more good content, not more filler.

How do you keep it on brand?

We turn your voice guide, positioning and examples of your best work into rules the AI follows, check outputs against them, and train your editors on what to look for before anything is published.

Do you train our team?

Yes. Every project includes hands-on sessions for each role that uses what we set up, a written playbook and 30 days of office hours. We also run AI training for teams on its own.

What is GEO, and how is it different from SEO?

SEO helps you rank in search results. Generative engine optimisation (GEO) helps AI assistants such as ChatGPT, Perplexity and Gemini mention and cite you in their answers. They share foundations like technical health and authority, but GEO adds structured facts, quotable content and tracking of AI answers.

How do you measure AI search visibility?

We run a fixed set of buyer questions through the major AI assistants every month and track how often you are mentioned, cited and recommended compared with competitors.

Do we need to change our marketing tools?

No. We start with what you already use, such as HubSpot, Salesforce, Google Ads, Meta, GA4 and your CMS. If a new tool would do a job better, we'll tell you what it costs and why.

How soon will we see results?

Time savings show up as soon as your team is using it, usually within 6 weeks. Search and AI visibility gains build over a few months, and we report on them monthly.

Find out where AI can give your marketing team time back.

Book a free consultation. We'll look at how your marketing team works today and where AI could help first.

Book a free consultation