I build tools and
workflows that make
SEO faster to run.
8+ years doing technical SEO. For the last few, I've been writing the scripts and building the workflows that used to take days to do by hand — crawl analysis, rank tracking, schema generation, content audits. I work with n8n, Python, and whatever gets the job done.
Capabilities
Technical SEO
Crawl analysis, Core Web Vitals fixes, schema markup, site architecture — the structural work that determines how well a site gets crawled and understood.
Topical & Semantic SEO
Building content structures that cover a topic properly — entity mapping, keyword clustering, internal linking — so search engines have a clear model of what a site is about.
SEO Automation
Custom Python scripts and n8n workflows that handle the repetitive stuff: rank monitoring, metadata updates, crawl alerts, reporting. Set it up once, run it continuously.
AI-Assisted Workflows
Using Claude and Gemini to help with specific tasks — classifying search queries, writing structured data, summarising crawl logs. Practical applications, not AI for the sake of it.
Systems & Workflows
Search Data Pipelines
Pulling from Search Console, GA4, and Ahrefs APIs into one place so you can actually see what's happening — trends, drops, opportunities — without stitching it together manually.
Automated Content Auditing
Scripts that check pages at scale for thin content, missing metadata, broken internal links, and indexation issues. Flags problems automatically instead of waiting for a manual review.
n8n Automation Architecture
Multi-step n8n workflows that connect your tools — GSC, Ahrefs, Slack, your CMS — so that data flows and alerts fire without manual stitching.
Python Scripting
Scripts for the tasks that need a bit more control: URL inspection at scale, sitemap generation, log file parsing, internal link auditing, and page speed testing.
Engineering Philosophy
Automate the repetitive stuff
If I'm doing something manually more than twice, I write a script for it. Most of the time the script is faster, more accurate, and can run on a schedule.
Build for how search actually works
Search engines are better at understanding context than keywords. Good SEO work is about giving them a clear structure — entities, relationships, intent — not stuffing phrases.
Keep tools simple and private
Tools I build run in the browser where possible. No uploads, no accounts, no servers handling your data. Fast by default, private by design.
Definitions & Explanations
What is Technical SEO & Automation?
Technical SEO is the work of making sure a site is structured in a way search engines can crawl, understand, and rank. Automation is writing scripts and workflows to do that work faster and at scale — instead of checking things manually in a spreadsheet.
What does a Technical SEO & Automation Engineer do?
Day to day: auditing site architecture, diagnosing crawl and indexation problems, writing n8n workflows to automate reporting, building Python scripts for data collection, and using language models to speed up structured tasks like schema writing or query classification.
Why does technical SEO automation matter?
Because manually checking thousands of URLs, monitoring dozens of keywords, or updating metadata across a large site is slow and error-prone. Scripts do it faster, at any scale, and can be scheduled to run continuously.
Where does AI fit into SEO work?
Mostly in the parts of the job that involve pattern recognition or text processing at scale: categorising queries, writing structured data, summarising large crawl exports, or flagging content that needs updating. Useful as a component in a larger workflow.
Let's work together
Need a Technical SEO & Automation Engineer to build tools, workflows, or systems? I am always open to discussing new projects, roles, and opportunities.