Svet Petkov

Head of Technical SEO at The Telegraph. I help publishers, agencies, and large websites fix technical SEO problems, improve workflows, and build steady organic growth.

Experience10+ yearsTechnical SEO across agency, in-house, enterprise, editorial, and multi-market teams.

SpecialismSearch systemsGoogle News, Top Stories, Discover, automation, and data workflows at scale.

See how we can work together

Brands I've worked with

What I actually do all day

Technical SEO

I help companies and agencies sort out crawling, indexing, rendering, site architecture, and performance problems. The aim is simple: remove blockers, improve execution, and grow organic traffic.

SEO growth and optimisation

Organic growth comes from clear work across SEO, CRO, UX, and content. I help teams focus on the biggest opportunities and turn search demand into measurable business results.

Data engineering for SEO

I build data workflows that make SEO work faster and more reliable. That includes Python automation, SQL and BigQuery analysis, and practical systems that reduce manual work.

What I use to automate work and build tools

Workflow automation

n8n

I use n8n to connect systems, trigger workflows, and move data between tools without adding unnecessary manual work. It is useful for repeatable SEO operations, alerts, and internal automations.

Coding agent

Claude Code

I use Claude Code for structured coding tasks, agent-style workflows, and moving faster through implementation work when I need a strong technical assistant inside the codebase.

Build acceleration

Codex

I use Codex to speed up development, automate repetitive coding work, and turn technical ideas into working tools more quickly. It is especially useful for rapid internal prototypes and SEO tooling.

AI IDE

Cursor

I use Cursor as a practical AI coding environment for building scripts, testing ideas, and iterating quickly on automation projects without losing control of the underlying code.

Agent systems

Google Agent Development Kit

I use Google's Agent Development Kit when I want to build more structured agent workflows, connect tools to reasoning layers, and experiment with systems that go beyond simple prompt-based tasks.

Storyhawk: my Google News lab

Google News intelligence for fast-moving markets

StoryHawk tracks Google News Top Stories so you can see who is winning coverage, which angles are picking up, and where competitors are gaining visibility.

I built it as a practical way to monitor news momentum, spot trend changes early, and turn noisy Google News results into something useful.

What it helps with

Monitor Top Stories movement across topics and publishers.
Track competitor visibility and emerging patterns.
Turn Google News signals into clearer editorial and SEO decisions.

Visit StoryHawk.io

Things I've studied along the way

Prompt Design in Vertex AI

Machine Learning and AI

Supervised Learning with scikit-learn

Machine Learning, Scikit-Learn, k-means clustering

Intermediate Python

Matplotlib, loops, logic, control flow, and filtering

How we can work together

Python for SEO automation

I automate repetitive SEO tasks with Python, from scraping and log analysis to reporting and opportunity discovery. This helps teams spend less time on manual work and more time on decisions.

ML and AI for large SEO datasets

I use machine learning and AI where they are genuinely useful: clustering queries, analysing large datasets, improving prioritisation, and supporting better SEO decisions.

News SEO optimisation

I help news publishers perform better in Google News, Top Stories, and Discover by combining technical best practice with the pace and pressure of editorial work.

Let's Connect

I share ideas on technical SEO, data engineering, Python for SEO, and AI on LinkedIn. Learn more about Svet Petkov and my experience working with news publishers, e-commerce brands, and large digital platforms.

Follow me on LinkedIn