Workflow automationn8n
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.
Founder at Storyhawk.ioHead of Technical SEO at The Telegraph
I'm Svet Petkov — a technical SEO consultant and AI search specialist with 10+ years of experience. I build AI agents and generative AI applications, and I'm certified in generative AI development (IBM), agentic AI systems, and applied machine learning. I help brands and publishers adopt AI efficiently and stay visible across search and AI platforms, including Google AI Overviews, ChatGPT, Gemini, and Perplexity.







I help large websites get found by Google and load fast. I guide website migrations, and fix organic traffic drops when they happen.
I work with product, development, and content teams to build SEO into how they already work. That means fewer bolt-on fixes later, and steady organic growth over time.
I build AI agents that handle the repetitive parts of marketing work — audits, reporting, data enrichment. Less busywork, more time for decisions that matter.
Workflow automationI 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 agentI 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 accelerationI 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.
Agent frameworkI use LangChain to chain LLM calls, tools, and memory into reliable agent workflows, especially when a task needs more structure than a single prompt can handle.
I use LlamaIndex to connect large document sets and structured data to LLMs, so agents can retrieve and reason over real content instead of relying on memory alone.
Agent systemsI 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.
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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.

Generative AI, application development

Agentic AI, LLM pipelines, system design

AI coding, agentic workflows

Machine learning and AI

Machine learning, scikit-learn, k-means clustering

Matplotlib, loops, logic, control flow, filtering
I build autonomous agents that run your SEO research, audits, analysis, and reporting — so your team reviews decisions instead of compiling spreadsheets.
I optimise the RAG systems behind your AI tools so they retrieve the right brand and product context instead of everything you own. Sharper answers, fewer tokens, lower cost per query.
I handle website migrations, JavaScript SEO, Core Web Vitals, rendering, indexing, and crawl efficiency for large websites.
I connect your tools so work moves on its own, with no copying and pasting between apps. Each task lands with the right person automatically.
I build practical AI tools for smaller teams without enterprise budgets. We start with the one process costing you the most time, then grow from there.
I train your team to use AI tools well, on your real workflows rather than generic examples. They finish able to run and extend what we build together.
I share ideas on technical SEO, data engineering, Python for SEO, and AI on LinkedIn. Read more about 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 →