AI Marketing Automation
We help marketing teams structure content workflows, topic planning, SEO, newsletters, social media, and brand communication with AI — without quality loss and with a brand voice that really sounds like you. AI here is not a replacement, it is an amplifier for your editorial team.
For whom, what problem, what outcome
Marketing teams expected to deliver a lot with small headcount, long approval routes, topic plans living in Excel, brand voice diluting between departments and agencies. Where SEO content emerges from gut feeling and newsletter campaigns sit in queues for weeks. Result: faster content creation with consistent quality, consistent brand leadership, less coordination friction, better reuse of existing content — and editorial teams who have time for strategy again.
Typical use cases
- Content workflows — from briefing to draft, edit, approval
- Editorial planning — topic backlog, seasonality, cluster mapping, capacity overview
- Topic clusters — SEO-grounded mapping (pillar pages, cluster posts, internal links)
- Campaign preparation — target audience, channel mix, creative variants
- Social media drafts — per-channel, with consistent hashtag sets and image suggestions
- Newsletter preparation — topic selection, segmentation, A/B subjects, pre-header tests
- SEO content support — briefing generator from SERP analysis, outlines, keyword mapping
- Customer feedback analysis — topic clusters from support tickets, reviews, surveys
- Brand voice and tonality guidelines — automated check of texts against your voice profile
How we work
- Brand voice extraction — we analyze existing content and extract brand-voice features: language, sentence length, preferred terms, taboos, emotion. That becomes the prompt layer for every AI-generated text.
- SEO inventory — review of current performance, topic gaps, competitor analysis. From that comes a prioritized topic backlog.
- Workflow design — who drafts, who edits, who approves? We place AI interventions so human approvals remain easy.
- Pilot in one channel — blog or newsletter as pilot, 4–6 weeks, clear metrics (time-to-publish, output volume, brand-voice consistency).
- Scaling & training — roll-out to further channels, training of editorial team in prompt care and quality control.
Tech stack
Deliverables
- Brand-voice profile as prompt layer, documented and maintainable
- Topic backlog with SEO priorities, cluster mapping, seasonality markers
- Content workflow in CMS / n8n (briefing → draft → review → approval)
- SEO briefing generator from top-10 SERP analysis with outline suggestion
- Newsletter and social workflows with channel-appropriate templates
- Quality dashboard (time-to-publish, brand-voice consistency, SEO performance)
- Training of editorial team and handover maintenance runbook
Customer benefit
- Faster content creation — from briefing to published in days, not weeks
- More consistent communication across channels, departments, agencies
- Less coordination effort, because briefings and drafts enter the workflow pre-cooked
- Better reuse of existing content (snippet library, image assets, study data)
- Clearer brand leadership — brand voice is no longer a PDF, it is part of the workflow
Quality & brand voice
- Brand voice is encoded in the prompt layer, not in individual gut feeling
- Every AI text passes an automated voice check before human approval
- Transparency in workflow: every article documented with sources, model version, edits
- Plagiarism and fact-check as required step before publishing
- SEO guidelines (E-E-A-T, Helpful Content) embedded in the briefing generator
FAQ
Will our brand be diluted by AI?
On the contrary. A well-trained brand voice is in our experience more disciplined than the gut feeling of changing writers and agencies. Precondition: your brand voice is explicit and continuously updated.
What happens to existing content?
Existing posts are our most important data source. We extract brand voice, topic clusters, SEO status. Top-performing content remains untouched; gap analysis shows where new clusters are built.
How do you avoid hallucinations in technical content?
Three layers: (1) RAG over your studies, white papers, product docs — the agent quotes only from validated sources. (2) Mandatory fact-check for numbers, dates, claims. (3) Editorial approval before every publish.
What about Google penalties for AI content?
Google rates by Helpful Content and E-E-A-T, not production method. AI-generated content with editorial review, expertise anchor, and real value ranks the same as purely human-written — if it is better than the SERP competition.
How quickly do we see results?
6–8 weeks for the first productive content workflow with brand-voice check. SEO impact emerges over 3–6 months — search engines need time to index and rate new clusters.
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