Content and creative is two jobs that are usually solved separately and often badly: long-form editorial content (for search visibility, brand authority, customer education) and ad creative (the volume and variant velocity paid performance actually needs). We run both through the AOS — under named-author editorial direction for content, under brand and policy guardrails for ad creative. Same platform, different surfaces.
What we cover
The standard programme covers both surfaces:
- Editorial: long-form articles, pillar content, opinion pieces, customer-facing guides, proof assets — under named-author bylines
- Ad creative: copy and visual variants for paid social (vertical video, carousels, statics), paid search (RSA assets, sitelinks, callouts), display and YouTube
- Landing pages: variants tied to campaign concepts, conversion-tested, integrated with paid media's optimisation loop
- Brand systems: voice guides, visual style libraries, asset templates that the platform's creative layer enforces
- Distribution: internal linking strategy, citation outreach for editorial, syndication where it earns its place
Editorial content vs ad creative — different jobs, different rhythms
Editorial vs ad creative
Two surfaces with very different production logic
How editorial content runs
Long-form content surface
The editorial production loop
Substantive published-author content for search visibility, brand authority and customer education.
- Brief
Strategy + topic + named-author assignment
Topic clusters mapped to commercial intent. Named author on the client side or from our editorial team takes the byline. Brief covers angle, intended depth, internal linking targets.
- Draft
AI-assisted drafting under expert direction
Platform produces structured drafts against the brief. Named author reviews, adds first-hand expertise, original frameworks, real examples. The named author owns the published voice and signs off.
- Production
Schema markup + asset production + technical optimisation
Article schema, FAQ schema, structured data on every page. Inline imagery, definition boxes, comparison tables — the AEO blocks that earn featured snippets and AI citations.
- Publish
Staggered release on a sustainable cadence
Weekly editorial calendar, varied days, multi-author distribution. Sustainable cadence (2-4/week) — not the bulk-publishing pattern algorithms now penalise.
- Distribute
Internal links, citation outreach, AI surface visibility
Hub-and-spoke linking inside topic clusters. Outreach to communities and citation-worthy contexts. Monitoring of AI assistant brand mentions and citation patterns.
How ad creative runs
Performance media surface
The ad creative production loop
Ad variants at the volume and velocity paid optimisation needs to actually work.
- Configure
Brand rules + visual library + asset templates
Forbidden words, mandatory inclusions, tone constraints, visual asset libraries. Configured once into the platform; enforced automatically on every output.
- Concept
Campaign concept + creative direction
Senior creative direction sets the concept — big idea, visual system, voice. The platform produces variants inside that concept; it doesn't invent campaigns.
- Produce
Variants generated within brand guardrails
30-50 variants per channel per month for B2C; 15-25 for B2B. Adapted per format (vertical video, carousel, static, lead-gen). Variants that fail brand-rule check don't ship.
- Test
Continuous A/B testing inside agreed bounds
New variants ship into existing campaigns. Underperformers retire. Winners scale. Audience-creative pairings refined continuously. No quarterly creative refresh; creative is always being refreshed.
- Learn
Performance feedback into next concept brief
Winning patterns documented and fed into the next concept cycle. Creative learnings compound across campaigns rather than being lost between agency engagements.
Why this model survives the 2026 content algorithm changes
The March 2026 Google algorithm enforcement on scaled content abuse specifically targeted thin AI-generated content, anonymous bylines, eerily uniform structure across hundreds of pages, and unsustainable publishing velocity. Sites publishing 10+ articles per day with no editorial review took 50-80% traffic hits. We've written about the operational implications — pilot failure patterns, what survives.
Editorial work survives when it does what published authors have always done: substantive, original, named, sustainable. AI assistance in the drafting layer is fine and increasingly expected. AI farming with no human voice or expertise is what got penalised.
Our editorial production is structured to match what the algorithms reward: 2-4 substantive pieces per week (well below any threshold), named authors with verifiable identity, structurally varied content shapes, original frameworks designed to be cited. The AOS handles the production workflow; published voice and editorial judgement stay human.
What it costs
Content and creative is typically priced as a fixed monthly retainer based on output volume, not as a percentage of media spend (since most of the work isn't tied to ad spend). Pricing reflects the editorial team size and creative production volume:
- Maintenance / lower-volume programmes (1-2 editorial pieces/month + ad creative variants for existing campaigns): from £4,500/month
- Standard programmes (4-8 editorial pieces/month + 30-50 ad variants per channel per month + landing pages): £8,000-£18,000/month
- Brand-authority programmes (multi-author editorial team, original research, citation outreach, comprehensive ad creative): £15,000-£35,000/month
Interactive · Cost Calculator
Compare against your current content + creative setup
Set in-house design / content headcount, freelance budget and tools. The calculator shows total operating cost for comparison.
Your current setup
Current annual cost (excluding media)
£180,000
People + agency + tools. Media spend is held constant on both sides.
AI-powered agency · annual cost (excluding media)
£85,202
Management fee on £20,000/month spend at 23.0% + your existing tools.
Difference
£94,798/year
£7,900/month freed up. Reinvested into media, that’s an extra 4.7 months of working spend each year.
Indicative only. Loaded cost per head includes salary, oncosts, software seats and overhead. Real proposals model your specific channel mix, attribution and margin targets via the discovery.
Where this service wins
- Brands hitting an editorial-velocity ceiling — where in-house content production can't keep up with the topic-cluster-and-distribution work search visibility actually needs
- Performance media programmes starved of creative — where the optimisation algorithms have plateaued because variants aren't refreshing fast enough to outrun audience fatigue
- Operations needing named-author E-E-A-T to support AI-search citation — where anonymous content is structurally disadvantaged in 2026
- Multi-channel programmes where consistent brand voice across editorial, ads and landing pages is hard to maintain with separate teams
Where it doesn't fit
- Brands with no expertise to publish or no clear point of view — content velocity alone doesn't earn citations or audience trust
- Operations unwilling to commit named authors with real bios — anonymous AI-generated content at scale is exactly what got penalised in March 2026
- Programmes that need fewer than 2-3 substantive editorial pieces per month — at that volume the operating cost of a structured production system is hard to justify
Read deeper on this
- SEO, AEO, GEO & AIO — the search visibility surface that editorial content feeds into.
- Paid Social — the performance media surface that ad creative feeds into.
- Why most AI marketing pilots fail — including the failure pattern of insufficient creative supply that this service exists to solve.
FAQs
Common content & creative questions
Will you write under named authors with real credentials?
How is this different from a content marketing agency?
Will you handle ad creative production at the volumes paid social actually needs?
How do you maintain brand voice consistency?
Can you work with our existing creative team?
What about long-form content that needs subject-matter expertise?
How quickly do you turn around new ad creative for a campaign launch?
Do you handle video creative?
How do you handle imagery rights and licensing?
What's the relationship between editorial content and SEO/AEO/GEO/AIO?
Sources and further reading
- Google — Search Central guidance on helpful content — Google's official guidance on AI-generated content and quality signals.
- Harvard Business Review — Marketing creativity — research on the role of creative quality vs creative velocity in performance.
- McKinsey — The state of AI — research on AI in creative production and content workflows.