AI Content Marketing
UK-based in-house content marketers and small-agency content leads running one-to-five-person teams, who already own a working content programme and want practical, tested ways to use AI across planning, production and measurement without shipping generic output — intermediate practitioners, not engineers.
- Guides
- 12
- Articles
- 27
- Words
- 72,196
What this site covers
6 sections, 6 supporting pages and 27 articles. Every one is free and complete.
- AI-Assisted Content Strategy and Planning
ai content strategy
2,491 words 1 supporting 5 articles
- Drafting, Brand Voice and Editing Workflows
ai content creation workflow
2,649 words 1 supporting 5 articles
- Automation, Repurposing and Custom GPTs
ai content repurposing automation
2,368 words 1 supporting 5 articles
- Getting Cited by AI Search
generative engine optimisation
2,852 words 1 supporting 4 articles
- Measuring AI Content Performance and ROI
ai content roi measurement
2,345 words 1 supporting 4 articles
- Governance, Disclosure and UK Compliance
ai content policy for marketing
3,084 words 1 supporting 4 articles
Latest writing
- Automating the Boring Bits With Zapier and Make 1,516 words The automations that pay back for content teams are administrative, not creative — brief routing, asset filing, publication checklists, stakeholder notifications; gives five builds that remove coordination overhead without touching the writing.
- Feeding AI Your Own Research So Drafts Aren't Hollow 1,724 words Generic output is an input problem: the workflow that fixes it puts primary material — interviews, data, internal docs, customer language — into context before a single word is drafted, and the drafting step becomes assembly rather than invention.
- AI-Assisted Pillar and Cluster Mapping at Speed 1,877 words Clustering by keyword similarity produces topically tidy, commercially useless architecture; clustering by buyer question and decision stage, with AI handling the sorting, produces structures that convert and that models can navigate.
- UK GDPR and Putting Customer Data Into an LLM 1,903 words Most content-team data handling risk sits in three routine acts — pasting call transcripts, uploading CRM exports, and training on customer stories; covers lawful basis, data minimisation and the vendor settings that actually change your exposure.