Author: Hayden Schuster
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I’ve been going to Autzen since I was a baby. Of course I built a Website for the Ducks.
I need to get something out of the way. SURPRISE: I am way too emotional about Oregon Ducks football. This has been true for my entire life. It will not be changing. So I might as well share that passion with anyone else who cares, right???? So i made this:
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Personal audit and lessons learned: AI output fails silently. Domain expertise is what catches it.
I have made so many mistakes. I’m a solo operator with my side projects. Learning new tools and new ways of thinking is hard. Things go wrong. There’s an extreme learning curve with all this crazy new technology shit, and there’s so much I still have to learn. But doing and experimenting in new ways…
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The real goal of technical SEO: clarity for crawlers and humans
Technical SEO is often treated as a checklist, but its real purpose is clarity. This article explains how reducing ambiguity in structure, layout, and internal relationships makes websites easier for both crawlers and users to understand.
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How to structure content for answer-first search so AI previews help instead of replace you
Answer first search changes what content needs to do. As AI Overviews resolve basic questions directly inside search results, content must move beyond explanation and help users move forward. This article explains how to structure content around intent progression so visibility leads to engagement instead of stopping at understanding.
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Why impressions increase while clicks stay flat (and what it actually means for SEO)
Many websites are seeing impressions rise while clicks remain flat or decline. This article explains why visibility and traffic no longer move together, how AI Overviews and modern search behavior change click patterns, and how to interpret performance data correctly in modern SEO without assuming something is broken.
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Why AI overviews appear in Google Search (and what they change)
AI Overviews represent a shift toward answer-first search, where Google increasingly summarizes information directly within results instead of relying on users to visit individual pages for understanding. This article explains why AI Overviews appear, what types of searches trigger them, and how they change visibility, click behavior, and the way modern search systems interpret content.
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Building a Search System: How I Structured My New Site
This post explains the reasoning behind how this site is structured, including the constraints, tradeoffs, and assumptions that shaped its architecture over time.
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How to use Google Search Console as an SEO visibility dashboard (cheat sheet)
A practical guide to using Google Search Console as a visibility dashboard instead of a troubleshooting tool. This cheat sheet explains how to analyze search performance trends, identify growth and decline patterns, and turn raw visibility data into clear insights for reporting, strategy, and decision-making.
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Building repeatable SEO systems for enterprise website launches
This post documents how standardized SEO systems were used to support multiple enterprise 3.0 website launches. It focuses on coordination, structural decisions, and risk reduction across complex inventory, location, and legacy URL environments rather than one-off fixes or launch checklists.
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How AI-driven search systems discover and understand content
Modern search systems no longer “read” pages the way people do. They extract, interpret, summarize, and reuse content across many different surfaces. Your content is not just ranked. It is broken apart and reassembled.
