Founder at Storyhawk.ioHead of Technical SEO at The Telegraph
My work focuses on helping large websites grow organic traffic and AI search visibility through technical SEO, agentic optimisation, intelligent automation, and custom data tools that solve complex problems and drive results at scale.
I help large websites improve crawl efficiency, indexation, rendering, and web performance. My work covers Core Web Vitals, crawl budget optimisation, rendering analysis, website migrations, and technical architecture to ensure search engines can access, understand, and rank content effectively.
I work closely with product teams, developers, content teams, and senior leadership to align business goals with SEO opportunities. By embedding SEO into product development and decision-making, I help teams build experiences that deliver sustainable organic growth.
I build AI agents and automated workflows for digital marketing teams. From SEO audits and content intelligence to reporting and data enrichment, I create systems that automate repetitive work and help teams focus on higher-value decisions.
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.
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.
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.
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.
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.
.png&w=828&q=75)
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 results into actionable decisions.
Hourly Article Position Map — track when specific articles rank in Google Top Stories throughout the day.
Building autonomous workflows that automate SEO research, analysis, reporting, and optimisation.
Understanding how websites are discovered, interpreted, and surfaced by AI search engines and autonomous agents.
Exploring website migrations, JavaScript SEO, Core Web Vitals, rendering, indexing, and crawl efficiency for large websites.
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 LinkedInOver ten years in SEO, across agency, in-house, and freelance roles. I've worked across more than ten markets and three search engines — from e-commerce and financial services to news publishing and sports media.
I was invited at short notice to speak about technical SEO for news publishers at the SEO for News Meetup in London. A good opportunity to share what we've been working on at The Telegraph and meet others working in news SEO.
My first conference talk. On 10th November 2022 in Sofia, Bulgaria, I spoke at SERPConf about Google News and shared a case study from one of the sites I'd been working on.
I was featured in a SoftUni success story in 2019, sharing my journey into SEO and how I developed the skills that shaped my career. The interview covers how I got started, what I learned, and where the industry was heading at the time.
Read the full story on SoftUni Digital →When should an AI agent run autonomously and when should a human stay in the loop? A token-bill-tested guide built on cost, reliability and risk — with prompt caching, context economics, and real examples from production SEO automation.
Read more →Two patterns ground LLMs in enterprise data: Retrieval-Augmented Generation and the Context Warehouse. They solve different scale, velocity, and governance problems. A practical guide to ingestion, hybrid retrieval, access control, and when to choose which — with clear SEO examples.
Read more →AI agents consume documentation differently than humans. Learn what AEO is, how to audit your site with the open-source agentic-seo CLI tool by Addy Osmani, and the five categories that determine your score.
Read the guide →