What I Do

Four connected disciplines. Most engagements start in one of them and pull in another, because the problems do: a business that cannot be found in AI answers usually also has data it cannot trust, and a data platform is worth little if nobody asks it anything.

Every page below sets out what the engagement includes, how the work runs, and what it is not suited to. Where something is better done by your own team, it says so.

Answer engines and AI search

Getting named inside the answers, not just ranked beneath them.

• Answer Engine Optimization. AEO services that get your business named in AI answers. Audit, fix and track citations across ChatGPT, Perplexity and AI Overviews.
• AI SEO. AI SEO for businesses losing clicks to AI answers. Technical SEO, AEO and GEO as one programme, measured on leads not pageviews.
• Generative Engine Optimization. GEO services that make your brand the source generative engines cite. Structure, specificity and corroboration, tracked monthly.
• AI Search Optimization. AI search optimization across AI Overviews, ChatGPT, Perplexity, Gemini and Copilot. One question set, one baseline, measured monthly.
• LLM SEO. LLM SEO for brands that need to be named inside language-model answers. Retrieval, corroboration and consistency work, tracked monthly.
• AI Visibility Audit. A fixed-scope audit of what AI assistants say about your brand: baseline, competitor comparison, the reasons why, and a fix list.

AI systems

Deciding what is worth building, then building it with the guardrails on.

• AI Consulting. AI consulting that starts with the process, not the model. Find the work worth automating, prove it on one case, then build what pays.
• Custom GPT Development. Custom GPTs and assistants built on your own material, with retrieval that cites its sources, spend caps and a documented handover.
• RAG Chatbot Development. RAG chatbots and AI agents built on your own knowledge base, with cited answers, evaluation before launch, and enforced spend limits.
• Private AI. Run AI on your own data instead of someone else's servers. Private deployment in your cloud, with governance and audit built in.

Data platform and Databricks

Getting scattered data into one governed place so the numbers agree.

• Databricks Consulting. Databricks consulting for businesses consolidating scattered data. Medallion architecture, Unity Catalog governance, jobs and Genie.
• Databricks Apps. Databricks Apps built where your data lives: internal tools that inherit Unity Catalog permissions, with no separate stack to secure.
• Medallion Architecture. Bronze, silver and gold layers designed so every reported number traces back to source. Medallion architecture built and handed over.
• Data Engineering. Bring scattered data into one governed place. Pipelines, migration and reconciliation built so the numbers agree and stay traceable.

Search, build and process

The disciplines the rest of it sits on.

• SEO Consulting. An SEO consultant working directly with you, not through an account manager. Seventeen years, measured on enquiries rather than rankings.
• Web Development. Websites built to be found and to convert. Fast, accessible, structured for search and AI extraction, and handed over so you can edit.
• Process Improvement. Lean Six Sigma process improvement applied before automation. Find where work leaks time and money, fix it, then decide what to build.

Where to start

If you are not sure which applies, the AI visibility audit is the usual entry point for search and AI work, and a short discovery is the usual entry point for data and AI builds. Both are fixed-scope and both end with a document you keep.

Recent work is on the case studies page, and pricing sets out how engagements are structured.

Talk about your situation

The first conversation is short and mostly questions. Get in touch and tell me what you are trying to fix. Or see how this is priced.