Marketing.

One brief in, ten assets out. We build the pipelines that take your strategist’s one-page brief and turn it into the blog post, the landing page, the LinkedIn carousel, the newsletter, and the ten programmatic pages it should have spawned — all grounded in your voice, all reviewed at the gates that matter, none of it generic.

Time to ship ~3 weeks*
Hours saved/wk 10+1
Channels Web · Social · Email
Languages Multilingual

Indicative timeline. Final scope and dates agreed after the intro call.

Why it pays back

Outcome 01

Hours back to your team

10+ h a week saved by 67% of marketing teams using AI1

Editors and strategists stop drafting boilerplate and start directing. The hours land back on positioning, distribution, and the calls that actually move the needle.

Outcome 02

Resource crunch, solved

40% cite content that drives action as the top challenge2
39% cite resource constraints — time, people, budget

The two top blockers in B2B content are the same problem: not enough hands to make enough of the right thing. The pipeline absorbs both.

Outcome 03

Organic carries the load

53% of all website traffic comes from organic search3
64% for B2B specifically

Programmatic SEO turns one well-shaped data set into hundreds of pages that capture long-tail intent your hand-written backlog will never reach in time.

Outcome 04

Personalisation lifts revenue

10–15% typical revenue lift from personalisation, McKinsey4

Segment-aware copy on landing pages, email, and ads — without a manual variant grind. The build handles the variants, your team owns the segments.

Outcome 05

Lower cost per lead

~5× cheaper per lead than paid search ($31 vs $181 avg)5

Compounding organic content shifts the CAC mix toward the channel that doesn’t turn off when the budget does. The build pays for itself out of the paid-search line.

Who it’s for

What you get

Deliverable 01

Brief → asset pipeline

One structured brief in, the full asset family out: long-form post, landing variant, social carousel, newsletter, and SEO meta. Each asset grounded in your brand voice, your strategist’s outline, and citations to your source material. Human review gates at the points that matter.

Deliverable 02

Programmatic SEO at scale

One data set → hundreds of pages. We build the templates, the data plumbing, and the publish pipeline straight into your CMS, with internal-linking and schema markup baked in. AI-overview-ready structure on every page.

Deliverable 03

Personalisation engine

Segment-aware variants on landing pages, email, and ads. The build handles the variant generation; your team owns the segment definitions and approval. No manual A/B/C/D grind.

Deliverable 04

Monitoring & alerts

Dashboards for assets shipped per editor-hour, organic traffic and conversion lift on programmatic pages, and engagement on personalised vs control segments. Anomaly alerts on paid-ad spend and channel performance pushed to Slack.

How a build runs

Week 1 / D 1–3

Voice & content audit

One working session with your marketing leads. We pull a sample of your best-performing content, codify voice and structural patterns, audit your CMS and analytics stack, and identify the highest-payoff first deliverable.

Week 1 / D 4–7

Pipeline v1 + first drop

Brief schema defined, generation pipeline standing, first asset family running through the human-review gates. By end of week one your editors are reviewing real output, not slideware.

Week 2

Programmatic + personalisation

Programmatic SEO templates wired to your data set and CMS, personalisation variants live on a scoped audience slice, and quality evaluated against your control content before scale.

Week 3

Monitoring & handover

Ship the dashboards, wire the anomaly alerts, and walk your team through the runbook. You leave week three with the pipeline live in production and a baseline you can keep measuring against.

Indicative timeline. Larger CMS migrations or non-trivial brand-voice work can stretch this; we confirm dates after the kickoff session.

Fixed scope. Peace of mind.

Defined scope, agreed in writing before kickoff. No metered hours, no surprise add-ons, no scope creep mid-build. The first week sets the bar — we ship to it, and you see the pipeline running into your real CMS by week three.

You own the repo, the prompts, the templates, and the model relationship. Production model usage is billed by the provider directly to your account — no markup, no reseller margin, no vendor lock-in to us.

Investment is sized to your content surface area, CMS, and integration complexity after the intro call. We come back with one number, in writing.

Start a project

FAQ

Will the output sound generic?

Voice is grounded in your existing best-performing content, your brand guide, and your subject-matter experts’ actual writing. Every asset is anchored to your real positioning, with citation links where applicable. The generic-AI-blog tone is what we’re explicitly building against.

Does this replace our content team?

It’s leverage for the team you have. Editors and strategists move from drafting to directing — they brief the pipeline, review at the gates, and own the calls that need a human eye. Headcount stays the same; output capacity multiplies.

Where does the data live?

In infrastructure you control. Generation pipelines, content stores, and personalisation logic deploy in your cloud account (AWS, GCP, Azure) by default. We integrate with your existing CMS (WordPress, Webflow, Sanity, Contentful, custom) — we don’t replace it.

How do you measure success?

Three numbers, baselined in week one: assets shipped per editor-hour, organic traffic and conversion lift on programmatic pages, and engagement on personalised vs control segments. The dashboard ships with the build.

Won’t Google penalise AI content?

Google’s policy is on quality and helpfulness, not provenance — AI-assisted content that’s accurate, original, and serves real intent is fine; thin scaled spam isn’t. Our pipeline ships through human review gates, cites sources, and is structured for AI-overview citation specifically. Programmatic pages are built around real data your audience needs, not template padding.

Do we own the model relationship?

Yes. Production model usage is billed by the provider directly to your account — no markup, no reseller margin, no lock-in to us. You can swap providers post-handover. Build-time spend is on us.

What happens after the build?

Three options: (1) take the repo and run it internally, (2) keep us on for content-pipeline monitoring and iteration, (3) scope a follow-on build (multilingual expansion, video pipelines, ABM personalisation). No pressure to continue.

Ready to ship more without hiring more?

Tell us about your content stack, your channels, and where the bottleneck sits today. We’ll come back within one business day with the next step.

Open the contact form

Sources

  1. HubSpot, State of Marketing / State of Generative AI — 67% of marketing teams report saving 10 or more hours per week using generative AI, with content creators reclaiming roughly three hours per piece. hubspot.com
  2. Content Marketing Institute / MarketingProfs, B2B Content Marketing Benchmarks, Budgets & Trends — 40% of B2B marketers cite creating content that drives action as their top challenge; 39% cite resource constraints (time, people, budget). contentmarketinginstitute.com
  3. BrightEdge, Organic Channel Share Report — organic search drives 53% of all website traffic and 64% for B2B specifically, versus 15% from paid search. brightedge.com
  4. McKinsey, Next in Personalization — personalisation most often drives 10 to 15 percent revenue lift, with company-specific lift spanning 5 to 25 percent. mckinsey.com
  5. HubSpot, 2025 CPL & CAC Benchmarks — SEO-sourced leads average roughly $31 vs $181 from paid search, around one-fifth the cost. hubspot.com