Use AI across your content programme without shipping generic work
Start here Where AI Actually Fits in a Content Programme You Already Run
- AI-Assisted Content Strategy and Planning 1 supporting page6 articles 11 min
- Drafting, Brand Voice and Editing Workflows 1 supporting page6 articles 12 min
- Automation, Repurposing and Custom GPTs 1 supporting page5 articles 11 min
- Getting Cited by AI Search 1 supporting page5 articles 13 min
- Measuring AI Content Performance and ROI 1 supporting page5 articles 11 min
- Governance, Disclosure and UK Compliance 1 supporting page5 articles 14 min
Latest writing
- Prompt Libraries That Survive Staff Turnover Personal prompt collections die with the person; a team library needs versioning, a named owner, worked examples of good and bad output, and a retirement rule — otherwise it becomes an unmaintained folder within a quarter. 6 min
- Competitive Content Gap Analysis in an Afternoon Traditional gap analysis finds keywords rivals rank for; the more useful AI-assisted version finds arguments rivals make that you cannot answer, which produces differentiated commissioning rather than catch-up posts. 6 min
- The ASA, the CMA and Claims Made by Machines UK advertising rules hold the advertiser responsible regardless of who or what drafted the claim; walks through the substantiation, comparative-claim and testimonial rules most likely to be breached by unchecked AI copy. 7 min
- Quality Scoring: Making Editorial Judgement Countable If quality stays a matter of taste you can't detect AI-driven decline until traffic falls; a five-criterion rubric scored by two editors on a sample of published work turns quality into a trend line you can defend. 6 min
- Schema Markup That Earns You AI Answers Schema doesn't make a model cite you, but it resolves ambiguity about what a page is, who wrote it and what it claims; covers the four types worth implementing for content sites and the ones that waste developer time. 6 min