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
SEO AI Consultant
in London.
SEO and AI support for teams that need faster research, better briefs and cleaner search decisions. 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 build AI-assisted SEO systems around real search work: audits, briefs, internal links, metadata and reporting.
What You Are Buying
A faster SEO process without losing judgement.
The useful part is not asking AI for more content. It is building a better search workflow around briefs, intent checks, internal links, metadata and review notes so the team can move faster without guessing.
SERP research
Brief systems
Metadata QA
Internal links
// 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.
Research is slow
Keyword, SERP and competitor checks take too long because every brief starts from scratch.
AI weakens judgement
The team gets more output, but not always better decisions about intent, structure or priority.
QA is bolted on late
Metadata, internal links and content briefs are reviewed after production instead of inside the workflow.
SEO knowledge leaks
The useful method sits with one person rather than in a repeatable briefing and review system.
// 03 - how the work runs
Phases that end in something usable.
I help turn AI into a better SEO operating model, not a shortcut for producing more average content.
The work can cover SERP research, content briefs, metadata QA, internal linking checks and reporting notes.
The point is faster search work with clearer judgement, better review steps and less repeated manual effort.
// 01 - audit
Map the search work
Find where research, briefs, metadata, links and reporting slow down or lose quality.
// 02 - shape
Design the AI layer
Use AI where it supports judgement: extraction, clustering, drafting, checking and comparison.
// 03 - review
Put QA inside the flow
Build source checks, intent checks and approval steps before output reaches the page.
// 04 - repeat
Document the method
Leave the team with reusable briefs, rules and reporting notes that can keep improving.
// 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
SEO briefing system for a content team publishing every week
The team had content volume, but briefs varied by person. The project created an AI-assisted briefing system with SERP checks, intent notes, internal link prompts and QA before writing starts.
SERP extractor
Brief structure
Intent QA
Link suggestions
// outcome Briefs become easier to produce and harder to misunderstand.
Example project profile
Metadata QA workflow for a large service site
Metadata was being rewritten in batches with inconsistent checks. The workflow added rules for intent, duplication, length, internal language and approval before upload.
Page grouping
Title rules
Meta checks
Upload notes
// outcome The team gets cleaner metadata without reviewing every line from scratch.
// 05 - shape check
Where this works, and what you leave with.
// where this works
Use cases
- 01 Speed up search research
- 02 Create better content briefs
- 03 Add QA to metadata and internal linking work
- 04 Works well for teams with several stakeholders and too many disconnected tools.
// what you leave with
Outcomes
- Search workflow audit
- AI-assisted briefing system
- QA and review steps
- Reusable reporting notes
// 06 - questions
London SEO AI 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 SEO and AI 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