AI-Enabled Content
AI can produce content faster than you can review it. That is the problem.
Short answer
AI-enabled content means using AI properly in production — for research, structure, drafting and repurposing — while keeping a human accountable for whether what ships is accurate, differentiated and worth citing. The tooling removes the cost barrier to volume. It does not remove the need for someone to decide what is worth publishing, and it introduces a new failure mode: confident, fluent material that is subtly wrong.
The approach
Why we do it this way
Every business can now produce more content than it can review. That is the actual constraint, and almost nobody budgets for it. The bottleneck moved from writing to judgement, and judgement did not get cheaper.
The failure mode is specific. AI-assisted content is fluent, structurally correct and confidently wrong in ways that are hard to spot on a skim: an invented statistic, a regulation that changed last year, a claim about your own service that nobody internally would have made. Published at volume, that damages the thing content is supposed to build.
There is a second cost that shows up later. Undifferentiated AI content is exactly what other people's AI already knows, so it earns no citations and adds no authority. It fills a calendar without moving anything.
What's included
Every AI-Enabled Content plan covers
- Content strategy tied to commercial intent, not a publishing quota
- AI-assisted research with sources attached to every claim
- Answer-first structure built to be quoted
- Human editorial review and sign-off on every piece
- Entity and schema consistency across everything published
- Repurposing into the formats each channel actually needs
- Citation and AI mention tracking, not just sessions
Process
How we produce content with AI
The AI does the drafting. A person is accountable for what ships.
Decide what is worth publishing
Before anything is drafted. Most content programmes fail here, and no amount of production speed rescues a bad brief.
Research with sources attached
AI is used to gather and structure, never as the source of fact. Every statistic, regulation and claim carries a citation a reviewer can open.
Draft to a structure built for citation
Answer-first blocks, question-shaped headings, comparison tables, defined terms. The structure that makes a page quotable is the same one that makes it useful.
Add what a model cannot
Your actual client work, your own numbers, the opinion you would defend in a room. This is the entire difference between content that earns citations and content that is already known.
Human editorial review
A named person checks accuracy, tone, claims and compliance, and signs off. On regulated categories this step is non-negotiable.
Measure citation, not just traffic
Whether the piece gets quoted by AI assistants and referenced by others, not only whether it earned sessions.
Start here
See where you stand before you spend anything
The scan takes twenty seconds and gives you a score you can act on whether or not you ever speak to us.
We fetch your page and check it live. Takes a few seconds, and no email is needed to see the result.
- Whether search engines and AI crawlers can index the page
- Title, meta, headings, canonical and mobile setup
- Core Web Vitals from real Chrome user data
- Whether contacting you takes one tap or three
- Every result shows the specific check behind it
Growth snapshot
your site
Measured live just now. Expand any row to see the checks behind it.
Want the parts we cannot automate?
Packages and engagements
How AI-Enabled Content packages are scoped and priced
AI-Enabled Content is a capability, not a product. It sits inside one of three engagements, and each is quoted on scope and the outcome it is accountable for — never on hours logged or a percentage of your ad spend.
We run it and we own the result
Managed
We run the programme end to end and answer for the outcome.
We interpret and steer, you execute
Advisory
Independent judgement for teams who already execute.
We build the capability in your team
Enablement
Training so your team can run more of it themselves.
Answers
AI-Enabled Content questions, answered properly
Is this just AI-written content?
No. AI does research, structure and drafting. A person decides what is worth publishing, adds the parts a model cannot know, checks every factual claim and signs off. If nobody is accountable for the output, it is not a service, it is a content generator.
Will Google penalise AI-assisted content?
Google's guidance is about quality and usefulness, not method. Content that is accurate, original and helpful performs regardless of how it was produced. Content generated at scale with no editorial judgement is what its spam policies target — and that is a description of process, not of tooling.
How do you stop it being generic?
By putting things in it that a model does not have: your client work, your own performance data, and positions you are willing to defend. Anything a language model could have written without you is content nobody needs.
What about accuracy in regulated categories?
Health, legal and financial content goes through a documented review step against the relevant advertising rules before it ships. We would rather publish less.
How much faster is it really?
Production is several times faster. Review is not, and review is where the value sits. Realistically expect two to three times the output at the same quality bar, not ten.
Talk to a strategist
Let's find out what's actually holding you back
Fifteen minutes on the phone, an honest read on your situation, and a number. If we're not the right fit we'll say so and point you somewhere better.
