AI Thoughts

The New Economics of Web Crawling: A Framework for Selective Content Ingestion — One Year Later

Published August 2, 2026. Updated: August 6, 2026, to add additional July reference points. A follow-up to the original framework, published July 16, 2025, itself an extension of an earlier article on Cloudflare’s Pay Per Crawl, published two weeks prior, which first sketched the nine-factor value table and raised a question this post finally has […]

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How to Write Content AI Can Retrieve (What a Trip to Porto Taught Me)

Most content doesn’t fail because it’s wrong; it fails because it’s vague. AI systems don’t read or process your content the way humans do. They compare it. If your writing isn’t specific enough to win that comparison, it never gets seen. I wasn’t thinking about AI retrieval systems when I landed in Porto. I was

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This Week in Schema & AI Research: Four Experiments, and We Still Can’t Answer the Question

A genuinely busy few weeks for structured-data research: a viral duck, a controlled study with thousands of evaluations, a twelve-chatbot rendering test, and a field report on broken audit tools. Four methods, four angles. You’d expect that much evidence to settle something. Mostly, it sharpened the picture of how much we still don’t know, while

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The Great Agentic Testing Mirage: Why “Vibe-Coded” AI SEO Tools Are Gaslighting Your Executives

It’s 8:30 AM on a Tuesday. Your Chief Marketing Officer’s inbox flashes with an urgent, cold email from an external “AI Growth Consultant.” Attached is a beautifully formatted, terrifying PDF report generated by a brand-new, fully autonomous “Agentic SEO Auditor.” The email pitch is pure psychological warfare: “Your web development team has left your brand

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The End of “Local by Default” (And Why There’s More to the Story)

Yesterday, I published a new Signal & Friction article titled “The End of Local by Default” It was meant to surface a structural shift I keep seeing; one that helps explain why local market brands are quietly disappearing from AI-generated answers, even when users never asked for anything global. I tried to explain that Google

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Why the Market Hasn’t Reacted (Yet) to AI’s Cross-Market Content Problem

After publishing several articles and posts on how AI is quietly reshaping cross-market content visibility, I noticed something that initially surprised me. There was no reaction. No debate.No disagreement.No “this is wrong.”No “we’re seeing this too.” Just silence. Not even from those who reached out to understand why their hreflang was not working. At first,

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The New Content Gold Rush, Part II: Why AI Has Standards in Some Places—and None in Others

The Thought I Can’t Shake Since my last rant, “The New Gold Rush – What AI Search is SO Easy to Game,” about how easy it’s become to game AI search, my inbox hasn’t slowed down.Every day, I get another pitch: “We can make your content top the AI results!” Half sound like hustlers from

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The New Content Gold Rush: Why AI Search Is So Easy to Game ( and What That Says About Its Trust Layer )

The Question That’s Been Bugging Me Lately, I’ve been inundated with emails, three to ten a week, from self-proclaimed “GEO (Generative Engine Optimization) and AI SEO” firms promising their tools will generate magical content and listicles that “instantly rank” at the top of generative search results.  It’s baffling. These people sound precisely like the content

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