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    Notes on AI architecture for revenue

    Case studies, breakdowns and field notes. No invented metrics or marketing gloss — only what has actually been validated on my own and client projects.

    Analysis · Part 2 of 3June 16, 202610 min read

    Google Doesn't Penalize AI Text. But It Almost Always Gives Position 1 to a Human

    Part 2 of my breakdown of AI content effectiveness — on distribution. Google doesn't ban AI: 86.5% of top-ranking pages contain it, and the correlation between AI share and position is zero (0.011). But a human wins position 1 in 80.5% of cases vs ~10% for pure AI. And in paid ads AI matches humans on clicks — yet the "made by AI" label costs conversion. Only verified sources: Ahrefs, Semrush, Taboola.

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    Analysis · Part 1 of 3June 12, 202611 min read

    Nobody Spots AI Text Blind — but the "Made by AI" Label Breaks Trust

    Part 1 of my breakdown of AI content effectiveness. Blind, people can't tell machine text apart (53% accuracy) and even pick it as more engaging (56%). But admit "this is AI" and trust collapses: 52% disengage on the spot, and "AI-generated" scores nearly half the trust of "AI-assisted." Built on primary sources.

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    Client caseJune 10, 20269 min read

    The Bookings a Clinic Couldn't See: A Revenue-Leak Audit

    A client case (under NDA): I reconciled 1,345 CRM leads from a private Dubai clinic against their real WhatsApp chats. The clinic was booking roughly 1.5× more patients than its system showed, and ~740 conversations never entered the CRM at all. A step-by-step look at where revenue leaks — and why the report, not the pitch, is the product.

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    Client caseJune 8, 20268 min read

    How I Rebuilt the Commercial Engine of a ~€3M Education Company in 8 Weeks

    A client case (under NDA): in 8 weeks I re-architected the commercial model of an established player in professional education. I pulled raw sales data, found a hidden loss on off-site events, moved the business to subscription, and designed an AI agent for upsell. Forecast: −€43,000/year in costs, +72% LTV, +8–12% revenue.

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    Market analysis · Part 2 of 2June 3, 202613 min read

    How AI Quietly Rewired Daily Life in 2026: Learning, Health, Home, Play

    Part 2 of my read on 2026: how AI slipped underneath ordinary life. AI-tutored students beat the control group by 0.15 SD, Apple now pays Google ~$1B/year to run Siri on Gemini, India's AI TB screening lifted detection ~16% — and a 12.1-point North–South divide widened. A sourced look at learning, health, the smart home, and gaming.

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    Market analysis · Part 1 of 2June 3, 202612 min read

    AI Hit 1 Billion Users and Went Agentic: The State of AI Adoption in 2026

    ChatGPT reached 1 billion users in ~3 years, and 2026 became the year AI moved from chatbots to agentic systems. A first-person, sourced read: how fast AI spread, where it landed, and how it rewired manufacturing, service, and strategy. Part 1 of 2.

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    Market analysisJune 1, 20269 min read

    CTR Dropped 61%, Conversion Rose 4.4×: What AI Search Did to the Funnel in 2025

    Organic CTR on AI-Overview queries collapsed 61% — while the AI-search visitor became 4.4× more valuable. A sourced breakdown of the core contradiction of 2025: what happened to the funnel, who has already won and lost, and why strong SEO no longer carries you into the AI answer.

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    Case 1 of 2May 29, 20269 min read

    The site as Proof of Concept: building brand and code in one AI conversation

    I built my own site in AI-native development mode — designing the code and the positioning at the same time, in one conversation with AI. This case covers why the offer had to be born together with the site, three artifacts that prove the method, and why the site is a Proof of Concept.

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    Case 2 of 2May 27, 20269 min read

    How I made my own site visible to AI search: a GEO rebuild, step by step

    I advise businesses on revenue growth through AI — and yet ChatGPT, Perplexity and Gemini couldn't find my own site. The cobbler with no shoes. This case study walks through what I did: pre-rendering, opening the door to AI bots, Schema.org, llms.txt, hreflang, speed, IndexNow.

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    More notes coming soon.