Content Management
I plan, brief, and optimise content with entity mapping, topic clusters, accessibility and internal links that pass relevance.
- eCommerce: Sales‑focused optimisation with advanced structured data.
Hello, I’m Nina, an unemployed Somerset digital marketing strategist ready to anchor my future here in Somerset. I’ve spent two decades immersed in e-commerce and search engine optimisation. Lockdown had its peak, and I rode that wave of digital independence.
But eventually, the real world comes knocking. I want new roots. I want to commit to one local business, pour everything I know into one brand, and grow something that matters close to home.
Everything I deliver is built on data integrity, structured schema, and clear stakeholder communication.
AIO Strategy – AI optimisation for search and overviews.
GEO Strategy – Generative engine optimisation.
NLP Agentic Content – machine‑friendly narrative modelling.
I architect entity‑led content, internal linking, and structured data so your brand is retrievable in AI overviews, answers, and summaries.
I tailor agendas to your brand and products, with accessible learning materials and measurable outcomes.
I plan, brief, and optimise content with entity mapping, topic clusters, accessibility and internal links that pass relevance.
YouTube channel growth and embedded video optimisation across your site and socials — thumbnails, metadata, playlists, and watch‑path design.
VideoObject Schema: Custom structured data for videos. Ideal for startups. I wire VideoObject into your entity graph for richer snippets and AI retrieval.
Agency partnership delivery for SaaS, Product, Services, eCommerce and more — discreet, SOP‑driven, KPI aligned. SEO‑led project delivery across migrations, audits, comms, and cross‑functional change — with stakeholder clarity from kick‑off to close.
All projects are unique, every touchpoint is documented from the initial consultation, to the roadmap stages.
For POA contact me here. View my Privacy Page and SEO Reviews.

Back in the 1980s, I was analysing sales data with nothing but handwritten A4 sheets and raw determination. Double glazing telesales taught me that every conversation mattered, every rejection held insight, and patterns emerged from the chaos—if you knew how to look. I tracked call volumes, conversion rates, and seasonal trends across lined paper, building my first understanding that data without action is just expensive paperwork.
Moving into newspaper advertising sales, I graduated to index cards and a trusty Rolodex. Each client became a data point with purchase history, seasonal preferences, and negotiation patterns meticulously documented. I learned that successful sales forecasting wasn’t about gut instinct—it was about recognising behavioral patterns and timing market cycles with mathematical precision.
The relief when digital cataloguing systems emerged was profound. Suddenly, months of manual data entry transformed into searchable databases, pivot tables, and trend analysis. I could finally validate those early hypotheses formed across handwritten ledgers. The patterns I’d suspected were real, measurable, and scalable.
Four decades later, I’m still that curious analyst, but now I’m training LLMs and engineering prompts that surface insights in seconds rather than weeks. I’ve evolved from counting tally marks to deploying NLP topic analysis and semantic pattern recognition. The foundation remains identical: understanding human behavior through data interpretation.
The difference? Today’s tools amplify human intuition rather than replace it. I’m still asking the same fundamental questions I asked in the 1980s, but now AI helps me find answers that transform businesses overnight rather than over quarters.
I’m passionate about turning historical marketing data into tomorrow’s competitive advantage, because patterns don’t lie, people do.