<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>AI-Assisted SEO - m0r9un.com</title><link>https://m0r9un.com/topics/ai-assisted-seo/</link><description>Latest articles in AI-Assisted SEO on m0r9un.com.</description><generator>Hugo</generator><language>en</language><atom:link href="https://m0r9un.com/topics/ai-assisted-seo/index.xml" rel="self" type="application/rss+xml"/><item><title>Build Systems, Set Goals: A Goal-Oriented Approach to AI in SEO and Product Work</title><link>https://m0r9un.com/articles/goal-oriented-ai-systems/</link><pubDate>Sun, 23 Aug 2026 12:00:00 +0300</pubDate><author>vladislavmorgun@gmail.com (Vladislav Morgun)</author><guid>https://m0r9un.com/articles/goal-oriented-ai-systems/</guid><description>&lt;p&gt;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: &lt;strong&gt;what system are we building, and what result should it produce?&lt;/strong&gt;&lt;/p&gt;</description></item><item><title>From Failure to Fix: How AI Helps Solve SEO Problems in Hours, Not Weeks</title><link>https://m0r9un.com/articles/ai-for-seo-problem-solving/</link><pubDate>Sun, 23 Aug 2026 10:00:00 +0300</pubDate><author>vladislavmorgun@gmail.com (Vladislav Morgun)</author><guid>https://m0r9un.com/articles/ai-for-seo-problem-solving/</guid><description>&lt;p&gt;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.&lt;/p&gt;</description></item><item><title>AI for Programmatic SEO: Context Before Content at Scale</title><link>https://m0r9un.com/articles/ai-programmatic-seo-context/</link><pubDate>Thu, 11 Sep 2025 10:00:00 +0300</pubDate><author>vladislavmorgun@gmail.com (Vladislav Morgun)</author><guid>https://m0r9un.com/articles/ai-programmatic-seo-context/</guid><description>&lt;p&gt;Prompt engineering has become a baseline skill. Most specialists already know to define a persona, task, context, and format. The bigger opportunity now is context engineering: building a working environment in which the model receives the right live data, durable project knowledge, examples, constraints, and output structure. At programmatic scale, the quality of that environment matters more than one elegant prompt.&lt;/p&gt;</description></item><item><title>The Inspector Gadget Mindset for AI-Assisted SEO</title><link>https://m0r9un.com/articles/inspector-gadget-ai-seo/</link><pubDate>Fri, 11 Oct 2024 10:00:00 +0300</pubDate><author>vladislavmorgun@gmail.com (Vladislav Morgun)</author><guid>https://m0r9un.com/articles/inspector-gadget-ai-seo/</guid><description>&lt;p&gt;The most useful AI skill for an SEO specialist is not memorizing one perfect prompt. It is learning to choose the right tool for the task, understand its limits, and combine it with professional judgment. Inspector Gadget is a useful metaphor: the value is not the number of devices in the hat, but the ability to reach for the right one at the right moment.&lt;/p&gt;</description></item></channel></rss>