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Build Systems, Set Goals: A Goal-Oriented Approach to AI in SEO and Product Work

vladislavmorgun@gmail.com (Vladislav Morgun) — Sun, 23 Aug 2026 12:00:00 +0300

Most conversations about artificial intelligence begin with model selection: which one is smarter, which is cheaper, which writes better code, or which handles more context. I suggest starting with a different question: what system are we building, and what result should it produce?

From Failure to Fix: How AI Helps Solve SEO Problems in Hours, Not Weeks

vladislavmorgun@gmail.com (Vladislav Morgun) — Sun, 23 Aug 2026 10:00:00 +0300

Most conversations about AI in SEO revolve around content generation, code, and automating repetitive tasks. My work is a little different. As a consultant, I constantly deal with different websites, markets, languages, and highly specific tasks that may never recur. That is why I care less about automating a single operation and more about automating the thinking process around it: how to make a decision, catch a risk, investigate a traffic drop quickly, and spot a technical issue before it grows.

Product-Led SEO Starts with Analytics, Not Opinions

vladislavmorgun@gmail.com (Vladislav Morgun) — Tue, 30 May 2023 10:00:00 +0300

Product-led SEO is not a channel that waits for a finished product and then tries to attract traffic to it. It is a way of building the product with search demand, user experience, content, measurement, and iteration in the same loop. That sounds simple, but it changes the questions an SEO specialist must answer. “I think this will help” is no longer enough. We need to explain why a task matters, how it supports growth, what it will cost, and which evidence would change our mind.