“We are invisible in AI answers.”
Buyers ask an assistant to shortlist vendors and your competitors come back instead. Being crawlable is no longer the same as being citable.
AI Consulting for Marketing
Put AI to work on your brand, not just your workflow.
Most AI projects stall because they start with the tool. We start with the growth problem — then apply AI where it compounds: brand clarity, digital presence and pipeline.
Senior marketing strategists. AI-enabled execution. Measured against commercial outcomes.
Where we apply it
- 01Brand
Positioning, proof and voice that stay consistent as output scales.
- 02Presence
Visibility across search, AI assistants and the channels buyers use.
- 03Growth
Conversion, lifecycle and measurement connected to pipeline.
- 04Governance
Quality gates and accountability so speed never costs you trust.
Why this matters now
Your buyers are being introduced to you by a machine.
Search results summarise. Assistants recommend. Feeds rank. The question is no longer whether AI touches your marketing — it is whether the version of your brand it repeats is the one you intended.
“Output went up. Quality went sideways.”
Teams adopt AI tools individually, and the brand starts to sound like four different companies across four different channels.
“We have the tools. Not the outcomes.”
Licences are paid for and pilots have run, but nothing connects to pipeline — because nobody scoped the commercial problem first.
What we help you achieve
Brand. Presence. Growth.
The same three outcomes we are accountable for on every engagement — with AI used where it genuinely moves them, and left out where it does not.
01
Build the brand.
AI is now a channel your brand gets described through, not just a tool you use. We define the language, proof and positioning that both people and models repeat about you accurately.
- Messaging and positioning your whole team can apply consistently
- Brand and tone guidelines written so AI-assisted work stays on-voice
- An entity and proof layer that helps models describe you correctly
- Creative systems that scale output without diluting the brand
02
Create the digital presence.
Buyers now start in search engines, AI assistants and social feeds at the same time. We build the content and site architecture that earns visibility in all three.
- Content engines that pair AI drafting with human editorial judgement
- Answer-ready pages structured for AI search and generative results
- Site and technical foundations that make your expertise retrievable
- Publishing workflows your team can actually sustain
03
Bring the growth.
Visibility only matters when it converts. We connect AI to the parts of the funnel where it compounds — targeting, personalisation, follow-up and decision-making.
- Campaign and creative testing at a pace manual teams cannot match
- Lifecycle and lead follow-up automated around real buyer signals
- Analytics and attribution that show what is genuinely working
- A prioritised roadmap tied to pipeline, not to tool adoption
Connected capabilities
What an engagement actually covers.
We scope to the constraint in front of you. Most engagements combine two or three of these rather than all six.
Explore all servicesAI search & GEO advisory
Understand how assistants currently answer questions in your category, and what has to change on your site for you to be part of that answer.
AI-assisted content engine
A production system with AI in the drafting and research layer and experienced editors on quality, accuracy and voice.
Brand & creative systems
Templates, prompts and guardrails that let your team produce more campaign creative without losing brand consistency.
Marketing automation & agents
Practical automation across lead routing, enrichment, lifecycle email and reporting — scoped to the workflows that actually cost you time.
Analytics & decisioning
Cleaner measurement, clearer attribution, and models that help you decide where the next pound or dollar should go.
Team enablement & governance
Training, prompt libraries, review steps and usage policies so the capability stays with your team after we finish.
How we work
From assessment to a system that runs.
We agree the commercial problem, prove one use case works, then scale what earned its place. Scope, fees and timing are agreed before anything starts.
- 01
Assess
Audit your current marketing, data and tooling. Establish where AI helps and where it is a distraction.
- 02
Prioritise
Sequence use cases by commercial impact and effort. Agree baselines and how success will be measured.
- 03
Build & pilot
Stand up the first use cases with your team, with review steps and brand guardrails in place from day one.
- 04
Scale & enable
Expand what worked, retire what did not, and hand over the training and documentation to run it.
A focused first engagement
Start with an AI Growth Assessment.
Before you buy another licence or run another pilot, get a clear read on where AI will earn its keep in your marketing — and where your fundamentals need work first.
Discuss your assessmentWhat you walk away with
An AI marketing readiness assessment
Where AI will help, where it will not, and what has to be fixed first.
A prioritised use-case roadmap
Sequenced by commercial impact and effort, not by what is newest.
Working systems, not slideware
The first use cases built, tested and running with your team.
Governance and brand guardrails
Review steps, disclosure rules and quality gates written down.
Enablement for your team
Training and documentation so the capability does not leave with us.
How we use AI responsibly
Speed is only useful if the work holds up.
AI raises the volume of what marketing can produce. These are the standards we hold that output to — on our work and on yours.
Human accountability
A person is responsible for anything published. AI drafts and accelerates; it does not sign off.
Brand and factual review
Claims are checked against sources before they go live, and voice is reviewed by an editor.
Data and privacy care
We agree what data may be used with which tools, and keep customer information out of places it should not go.
Measured, not assumed
Every use case gets a baseline and a success measure so you can tell whether it earned its place.
Works well with
The services this connects to.
AI consulting usually sits alongside the delivery work it improves. These are the engagements it most often runs with.
Before we start
Good questions. Straight answers.
AI is the most over-promised category in marketing right now. Here is how we actually work.
Talk through your goalsIs this AI consulting or marketing consulting?
Marketing consulting, delivered by people who use AI seriously. We are not an enterprise AI engineering firm — we do not build custom models or MLOps pipelines. We work on brand, visibility, demand and conversion, and we apply AI to those problems where it genuinely helps. If your need is model development or data infrastructure, we will say so and point you elsewhere.
We have already bought AI tools. Do we need this?
Often the tools are not the problem. The common pattern is licences in place, individual team members experimenting, no shared standards, and no link to pipeline. An engagement typically starts by auditing what you already have, retiring what is not earning its place, and building the standards and workflows that make the rest useful.
Will AI-generated content hurt our search visibility?
Unreviewed, undifferentiated content will. Search engines reward useful, credible content regardless of how it was drafted. Our content work pairs AI in the research and drafting layer with experienced editors on accuracy, originality and voice, and every piece has a named person accountable for it before publication.
How do you keep our brand voice consistent?
We define the positioning, messaging and tone first, then encode them into the working system — prompt libraries, templates, examples and review steps. The guardrails are written down so consistency does not depend on who happens to be doing the work that day.
What does an engagement look like and how long does it take?
Most start with an AI Growth Assessment covering your marketing, data and current tooling, which produces a prioritised roadmap. From there we typically build and pilot the first use cases with your team before scaling what worked. Duration depends on scope, and we agree scope, fees and timing with you before any work begins.
How will we know whether it worked?
We agree a baseline and a success measure for each use case before it starts. Depending on the work that might be qualified enquiries, share of AI search answers, content throughput at a held quality bar, cost per opportunity or time saved on a specific workflow. Use cases that do not clear the bar get retired rather than quietly kept.
Do you work with our in-house team or replace them?
We work with them. A large part of the value is enablement — training, documentation, prompt libraries and review processes — so the capability stays in your team after the engagement ends. Where you need ongoing senior direction, that usually continues through a Fractional CMO arrangement.
Let's build what comes next
Make AI a growth advantage, not an experiment.
Tell us where growth has stalled and what you have already tried. We will tell you honestly whether AI is the answer — and what to do first if it is not.