Founder at Storyhawk.ioHead of Technical SEO at The Telegraph
Svet Petkov is known for his expertise in technical SEO, AI search, and large-scale website optimisation. He helps brands and publishers understand and adapt to Google AI Overviews, ChatGPT, Gemini, Perplexity, and the shift towards agentic search.
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.
In July 2026 I took part in the AWS Publishing Hackathon, teaming up with other engineers to build and ship a project over the course of the event.
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 →On 17 June 2026, Google and partners announced ARD, an open standard that lets AI agents find, choose and trust tools across the internet. Two building blocks: a catalog and a registry. Here is what it is and how it works.
Read more →AI agents are brilliant but lack context. OKF is a vendor-neutral, markdown-based standard for packaging editorial and business knowledge so agents can find and use it without hunting across a dozen incompatible systems.
Read more →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 →