Every case study, system breakdown, and field note, newest first and filterable by topic. No theory, no demos. Only systems that run in production and what it took to get them there.
This is the complete archive: all 508 posts across 54 topics, newest first, filterable by category. It holds the case studies, the model and tool comparisons, and the field notes from systems I built and run. For the curated view, where the writing sits alongside the free Claude Code skills, start at the Library instead.
The archive leans in four directions: AI Search Visibility (98), AI Agent Architecture (61), AI Tools (38), and AI Coding Agents (27). Those four account for most of what I publish, because they are where most of the client questions land.
Three places to start. The AI search visibility guide is the hub for the largest cluster and links out to every spoke in it. Grok Imagine vs Midjourney is the image model comparison, rebuilt against live leaderboard data rather than left to go stale. OutreachIQ is the longest running system breakdown here, from first prototype through to a public repo.
Investigate an unexpected Google-selected canonical with URL evidence, redirect and template checks, and monitoring for important business pages.
Add a Google Search profile badge with a verified destination, accessible placement, brand checks, and measurement that distinguishes clicks from follows.
Compare Cloudflare AI bot settings, served robots.txt, and verified crawler behaviour with a small regression check and a documented rollback plan.
Design a 30-day service-page experiment that separates AI visibility, enquiry quality, and uncertain attribution, with a baseline and clear decision rules.
Map Google Search features to your Portuguese business by region, business role, and query type before commissioning markup, feeds, or website changes.
Turn Search Console exports into a repeatable weekly decision brief with consistent comparisons, data-quality checks, source records, and human-reviewed actions.
Google now documents a custom Preferred Sources button, with the feature extending into AI Overviews and AI Mode. Here is the practical, non-desperate implementation playbook.
Google platform properties now make social and video search performance easier to compare. Use that evidence to choose the next owned page, video, or social asset.
A new local-AI study found business websites leading Gemini citations. Service brands should treat their own pages as primary comparison evidence, not directory support material.
Generic answer pages are not safer because they use AEO language. Google applies spam policies across Search, including generative AI responses. Build fewer, better-supported answers.
Discovery, retrieval, and citation are different stages. This practical page architecture reduces ambiguity without pretending anyone can guarantee a ChatGPT citation.
AI-search impressions are not a score. Here is how to connect Google reporting to page expansion, proof upgrades, assisted conversions, and sensible weekly decisions.
AI can summarize common knowledge cheaply. The defensible advantage is evidence from work you actually did: tests, decisions, screenshots, constraints, and measured outcomes.
AEO, GEO, and ASO create more acronym debt than advantage. Here is the practical clarity, proof, and distribution stack a small expert brand can control.
Google now carries users from AI Overviews into AI Mode. That makes shallow pages even weaker, because the second question is often where the shortlist changes.
Most AI visibility reporting still confuses noise with progress. Here is a small-team testing loop that gets closer to evidence instead of vibes.
AI systems increasingly summarize local businesses before a website visit. Here is the proof stack that helps a service business sound credible when AI is doing the first round of comparison.
Google's current AI search guidance is more conservative than most AI-SEO threads suggest. Here is what a small service site should actually do, and what it can stop worrying about.
Sam Oh defines cited, mentioned, and absent AI visibility. This guide adds the mention-citation matrix, measurement caveats, and a practical audit.
Sam Oh compares Google AI Overviews, AI Mode, ChatGPT, and Perplexity. This guide updates the source data and adds a platform-prioritization workflow.
Sam Oh explains training data, retrieval, query fan-out, and probabilistic citations. This guide updates the ranking evidence and adds a practical visibility test.
Sam Oh's Ahrefs AEO introduction, rebuilt as a practical guide to SEO overlap, mentions, citations, evidence limits, the full course map, and a 30-day baseline.
When AI search handles more early comparison work, the page that still wins is the one that survives the follow-up question. Here is how service pages should adapt.
A July 2026 study found AI can often describe brands accurately while still failing to mention them in buyer research answers. Here is what that gap means for small expert brands.
Every post here is about a system that actually shipped. Book a free call and let's talk about what could ship for you.
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