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.
OpenAI’s richer shopping and product-discovery experiences are an early signal: offers that are easier to compare will become easier to recommend.
Content Credentials are not a direct ranking switch, but provenance is becoming more relevant as brands need traceable assets, stable facts, and better trust signals across AI-mediated surfaces.
Google has launched dedicated generative AI reporting in Search Console for a subset of sites. Here is what the new report actually reveals, what it still hides, and how a small brand should use it.
Google says the average AI Mode search is triple the length of a traditional query. Here is why that changes service page strategy, and how to rewrite pages so they answer better, prove more, and convert cleanly.
Google has deprecated FAQ rich results for most sites. Here is what to replace old FAQ-page SEO with if you still want answer-ready pages that help humans and AI search.
Longer AI queries need fuller answers, but not bloated ones. Here is how to write for planning-style AI search without turning your pages into mush.
Google’s “Highly Cited†label is a reminder that original service content can become source material, not just marketing. Here is what that means for expert-led businesses.
Clearer answers help AI retrieval, but brands still lose if every page sounds and looks the same. Here is how to stay machine-legible without becoming forgettable.
Verified facts on your own site are not enough. AI-mediated discovery also depends on whether other surfaces repeat, confirm, and stabilize those facts.
Google has taken AI search reporting further, but small businesses still do not have perfect measurement. Here is the practical answer: what is measurable now, what is not, and what to track anyway.
Zero AI search mentions are still normal for most brands. Here is why that happens, why it is not only a content problem, and what to fix first.
AI search does not need more brochure pages. It needs source-worthy service pages with direct answers, proof, structure, and internal support. Here is how to build one.
Google has brought Preferred Sources into AI Overviews and AI Mode. Here is whether a small brand should actually ask readers to add them, and how to do it without sounding desperate.
AI can accelerate web production, but it can also flatten brands into the visual mean. Here is why bland AI-built sites become weaker in multimodal and AI-mediated discovery.
Voice, image, and follow-up search behavior are becoming normal. Here is why brand visibility now depends on more than text pages alone.
Google is pushing Search toward custom dashboards, mini apps, and agentic workflows. That makes utility pages more strategically interesting than generic AI-written content.
AI agents are starting to browse and act on websites more like users. Here is what makes a site easier for agents to understand and safer for businesses to expose.
As AI systems summarize brands, the real question is not only visibility. It is whether your facts are consistent enough to survive AI mediation without distortion.
Verification, provenance, and content credentials are moving from abstract policy talk to practical brand infrastructure. Here is what that means for AI search visibility and trust.
AI Search is making top-of-funnel reporting noisier. Here is why small brands should track conversions, quality, and assisted outcomes instead of obsessing over click loss alone.
Google says Search is expanding agentic booking, local services, and even calling businesses on users’ behalf. Here is what service businesses should fix before agentic discovery becomes normal.
AEO is not a separate cheat code. It is strong SEO, clearer answers, better page structure, and stronger proof that your brand deserves to be cited by AI search.
Google just launched Search profiles for publishers and creators. Here is why this matters for expert-led brands like João Queirós, and what it signals about identity in AI-mediated discovery.
A recent SEO study says almost 90% of brands have zero AI search mentions. Here is why that happens, what most sites are missing, and how a small brand should fix it.
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