Work I have anchored here
Direct work with enterprise marketing teams at FMCG, financial services and industrial brands. Plus full-spectrum SEO and AI workflow input alongside a multi-office creative and marketing agency.
London
Enterprise marketing, financial services and FMCG teams
GEO Consultant
in London.
Generative engine optimisation for teams that want to be understood by AI search systems. For London teams, the value is in making the work specific: where the data comes from, who reviews it and what the first useful version should do.
// London context
London teams usually run multi-agency setups with parallel programmes. The work that lands is the work that sequences, not the work that adds more. Most engagements here are second-opinion advisory for enterprise marketing or hands-on diagnostic for an in-house lead who already knows what they need.
// local proof
What this looks like in London.
Local market read
London buyers shortlist three agencies plus one senior independent for a second opinion. That second-opinion slot is where most of my London work sits.
How I work here
Monthly day on-site for strategy reviews. Two to three day blocks for migration sprints or workshops. Otherwise remote.
Where I sit vs other options
Heavy agency saturation - the established names (Builtvisible, Aira, Distilled-era alumni) cover most of the enterprise market. I sit alongside them, not against.
// 01 - the offer
What you are buying.
I review content, entities, structure and source material so your expertise is easier for answer engines to read and cite.
What You Are Buying
Pages that answer clearly and prove why they should be trusted.
GEO work needs visible expertise. I look at how your pages answer questions, name entities, connect proof, structure sections and make your best knowledge easier for AI search systems to extract.
Answer blocks
Entity map
Proof trail
Schema plan
// 02 - diagnosis
Why London teams call.
The patterns I see most before the work starts. If two of these sound familiar, the first review call is usually worth the time.
Expertise is buried
The page may be accurate, but the proof, entities and answers are not easy for AI systems to extract.
Answers are too vague
Content talks around the subject instead of giving direct, quotable answers to real questions.
Proof is scattered
Case studies, credentials, examples and source material are not connected into a clear trust trail.
Schema lacks purpose
Structured data is added as a technical afterthought rather than supporting the answer model.
// 03 - how the work runs
Phases that end in something usable.
I help reshape pages so AI search systems can understand who you are, what you know and why the answer should be trusted.
The work looks at entities, answer blocks, proof, schema, internal links and the way expertise is presented.
The aim is not to chase every AI platform. It is to make your best knowledge easier to extract and cite.
// 01 - extract
Find the answer gaps
Review what the page says, what it proves and what an AI system can easily understand.
// 02 - connect
Build the trust trail
Tie services, people, evidence, case studies and entities into a clearer page model.
// 03 - rewrite
Create answer-first sections
Shorter answers, better supporting detail and cleaner structure for readers and machines.
// 04 - mark up
Support it with schema
Use structured data where it reinforces the content instead of decorating the page.
// 04 - proof
Past project profiles.
Two examples of the shape this work takes. Real engagements, anonymised. Not every project looks like these, but the discipline is the same.
Example project profile
Entity and proof map for a specialist consultancy
The business had genuine expertise, but the proof was scattered. The project mapped people, services, credentials, case studies and answer blocks into a cleaner page model.
Entity map
Proof inventory
Answer blocks
Schema notes
// outcome The page gives AI systems a clearer route through the expertise.
Example project profile
Answer-first rewrite for a high-intent service page
The page had the right subject matter, but the useful answer was buried. The rewrite moved direct answers higher and added supporting proof where buyers needed it.
Question set
Answer hierarchy
FAQ rewrite
Internal links
// outcome The page reads better for people and gives machines cleaner extraction points.
// 05 - shape check
Where this works, and what you leave with.
// where this works
Use cases
- 01 Rewrite pages for answer engines
- 02 Make expertise easier to extract
- 03 Connect entities, proof and schema
- 04 Works well for teams with several stakeholders and too many disconnected tools.
// what you leave with
Outcomes
- AI search readiness review
- Entity and proof map
- Answer-first content blocks
- FAQ and schema plan
// 06 - questions
London GEO Consultant FAQ.
Do you work with London teams remotely?
Yes. Most work can run remotely. If a workshop would help, the first step is still a short call to understand the problem and decide whether a session is worth the time.
What does a GEO consulting project usually start with?
It usually starts with one narrow problem: a slow process, a technical blocker, a content system that has become messy or an AI idea that needs turning into a controlled workflow.
How quickly can you find the first useful project?
In most cases, the first useful route is visible after a review call and a small sample of the existing process, crawl, content, report or workflow.
// ready when you are
Find the first useful project for your London team.
Book a review call. We will look at the work, the risk and the first sensible step before agreeing anything.
Book a review