AI for marketing teams
More output from the marketing team you already have.
We build AI into your content, campaigns, reporting and search visibility. It connects to your CMS, ad accounts and analytics, follows your brand rules, and a person approves anything that goes public.
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.
What we build
AI systems for marketing teams
Each one is built into the tools you already use, with your team reviewing what goes out.
Content pipeline with brand guardrails
Briefs, first drafts and edits produced from your research, product facts and voice guide. An editor approves every piece before it is published.
Campaign reporting agent
Pulls GA4, Search Console and ad platform data 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 or pull requests.
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 system and teammate can draw on.
AI search visibility (GEO)
Get recommended by ChatGPT, not just ranked by Google.
More buyers now ask an AI assistant before they search. Generative engine optimisation (GEO) is the work of making sure assistants like ChatGPT, Perplexity, Gemini and Google's AI Overviews understand your business, trust it and cite it.
AI visibility audit
We test the questions your buyers ask across the major AI assistants and show where you appear, where competitors appear instead, and why.
Structured data and entities
Schema markup, consistent company facts and clean entity signals so AI models can tell exactly who you are and what you offer.
Content AI can quote
Pages restructured around clear answers, definitions and evidence, which are the passages AI assistants pull into their responses.
Share of AI answers, tracked
A monthly report on how often you are mentioned and cited for the questions that matter, next to your Google rankings.
How it runs
A typical marketing sprint
Week 1: map
We sit with your team, map the workflow end to end, and agree what success looks like in hours and numbers.
Weeks 2 to 4: build
We build the system inside your tools and demo it every week on your real content and data.
Week 5: pilot
Your team uses it on live work while we fix rough edges and tune quality.
Week 6: launch
We hand over documentation and training, then track usage and results from day one.
Connected to your marketing stack
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. Our pipelines start 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 system follows, then check outputs against them before anything reaches your team for review.
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 build on what you already use, such as HubSpot, Salesforce, Google Ads, Meta, GA4 and your CMS.
How soon will we see results?
Time savings show up as soon as a system is live, 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.
Our two-week AI Opportunity Audit ranks the marketing workflows worth automating first, with cost and payback for each.