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.
Google launched dedicated generative AI Search Console reports in June 2026, but only for a subset of sites. Here is the interim measurement stack small brands should use instead of waiting.
Google AI Mode is increasingly citing Google-hosted business cards for local-intent queries. Here is why your Business Profile has become part of your AI discovery layer, and what to fix first.
Ahrefs' five-part AEO framework, rebuilt with current evidence on query fan-out, brand gaps, citations, YouTube, crawler controls, and measurement.
Google now reports more AI-search performance, but query detail, citation logic, and conversion influence remain incomplete. Here is a decision-safe measurement model.
For many local service queries, the first useful summary now appears before a website visit. Here is how to make your business understandable, verifiable, and worth choosing.
AI systems cannot represent a brand reliably when its basic facts conflict. Build a small, maintainable verification layer across the site and trusted external sources.
AI citations vary by model, prompt, location, and run. This weekly review system separates stable evidence from dashboard noise and turns findings into one useful action.
Schema markup clarifies entities and page meaning, but it cannot force AI citations. Treat it as semantic infrastructure inside a broader evidence system.
Owned content explains the claim; third-party mentions corroborate it. Here is how a small expert brand should sequence both for stronger AI-mediated discovery.
Google now lets creators track how Instagram, TikTok, X, and YouTube content performs on Search and Discover. Here is why that changes AI visibility work for small expert brands.
A new Design Week-reported study found hybrid human-AI packaging outperformed both human-only and pure AI concepts. Here is what service websites and conversion pages should take from that.
The newest AEO tooling is useful, but not for the reason most people hope. Tools do not make a brand visible in AI answers. They show where the proof, content, and data gaps still are.
How ChatGPT, Google AI, and Perplexity decide who gets cited, and what a small brand can actually do about it. A complete, receipts-backed guide from a site that runs every one of these tactics on itself.
A practical 30-minute audit for checking what ChatGPT Search, Google AI features, and Bing say about your business, which sources they use, and what to fix first.
AI citations are still largely earned, but attention around them is becoming more commercial. Here is how a small expert brand can build durable source value without betting on hype.
A practical, ethical system for earning the third-party references that help buyers and AI search products verify an expert brand beyond its own website.
Google says there are no special AI-page requirements. That does not make clear content structure useless. Here is the honest role of agent-readable content blocks.
An AI mention can start discovery, but buyers still need factual consistency, independent proof, risk clarity, human accountability, and a safe next step.
Crawl access, index eligibility, citations, mentions, referrals, branded demand, and conversions answer different questions. Use this diagnostic metric model.
Cloudflare now lets site owners separate Search, Agent, and Training traffic. Here is how a small brand should use that split without accidentally cutting off discovery.
AI visibility is no longer only a rankings question. Here is the weekly operating system small brands can use to track citations, branded demand, proof pages, and assisted conversions.
AI agents are hitting websites in larger volumes, but many businesses still cannot tell whether that traffic helps discovery, extracts value, or impersonates trusted names.
As AI agents move from retrieving information to acting on a user's behalf, identity, accountability, and trust become part of the discovery infrastructure.
The Stack Overflow rebrand for the AI era points at a broader shift: in an answer-engine world, human-validated knowledge becomes part of a brand's strategic asset base.
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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