What a good AI marketing workflow looks like in practice Most UK teams don’t struggle with “getting access to AI”. They struggle with turning AI into repeatable marketing output that is (a) on-brand, (b) measurable, (c) safe, and (d) actually used by busy people. The gap between “we tried ChatGPT” and “AI has improved our … Read more
AI has been “coming to PPC” for years, but what’s changed recently is the speed and convenience with which teams can generate ads, restructure accounts, and create endless recommendations. The danger is obvious: when changes become easy, people make too many of them — and Google Ads is not a playground. If you let automation … Read more
Choosing the right AI marketing use cases isn’t about finding the “sexiest” tool or the boldest automation. It’s about picking a handful of outcomes where (a) the data is available, (b) the workflow has repeatable steps, (c) the risk is acceptable, and (d) you can prove impact quickly. Most UK businesses don’t fail at AI … Read more
AI automation can save serious time, but most projects fail for predictable reasons. Here’s what UK business owners commonly get wrong, and a practical way to choose automations that stick.
A practical, 2026-ready guide to using AI to improve SEO: research, content production, internal linking, technical QA, and measurement—plus guardrails to avoid hallucinations and thin content.
A practical guide to using AI to improve Google Shopping feed quality: title optimisation, attributes, GTIN hygiene, categorisation, disapprovals, and a safe testing workflow.
A practical guide to Generative Engine Optimisation (GEO) for eCommerce: how to structure pages, add proof, and increase your chances of being cited in AI answers.
Practical ways to use AI to speed up creative testing, improve signal quality, and streamline reporting for Meta ads in 2026—without losing control of performance.