Where AI genuinely helps
Used well, AI removes the slow parts of content work so more time goes into the parts that matter. I use it for:
- Research: summarising sources, finding the questions people ask and spotting gaps in competitors' coverage
- Structure: outlines and heading plans that cover a topic completely
- First drafts of routine copy such as product descriptions and ad variations
- Repurposing: turning one article, interview or webinar into social posts, emails and scripts
Where a person has to lead
AI cannot know what happened on your projects, what your customers said last week or which claims you can prove. Those are exactly the things that make content trustworthy. Every piece I deliver is edited by hand, fact-checked against sources, given real examples and approved by you before it goes live.
What Google says about AI content
Google's guidance focuses on the quality of content, not how it was produced. It rewards content that is helpful, reliable and made for people, and its spam policies target scaled, low-value pages created mainly to rank. My workflow is built for the first and to stay well clear of the second. It also supports the E-E-A-T signals explained on my SEO service page.
Your voice, documented
Each engagement starts with a brand voice guide drawn from your best existing writing: words you use and avoid, how formal you are, how you explain things. It becomes the reference for every prompt and every edit, and your team can keep using it after we finish.
Content that feeds every channel
One strong piece can become a blog article, a LinkedIn series, a short-video script and a set of ad variations. That makes AI content the engine for social media, UGC ads and search at the same time.