Search & AI
Search-strategy leadership from paid-search foundations to AI-era visibility and answer-engine transformation — building agentic systems that change how brands get found.
Read the work →Husband and father, investor, strategist, and writer focused on how search, intelligence, and capital evolve — and how disciplined systems read all three.
Search and AI, markets, and writing — read through the same lens: find the system, respect the cycle, act with discipline.
Search-strategy leadership from paid-search foundations to AI-era visibility and answer-engine transformation — building agentic systems that change how brands get found.
Read the work →Cycles, macro context, and disciplined frameworks for reading price action — managing my family's capital from low to low, where the setup comes before the trade.
The markets →Essays, research, and public commentary on search, AI, market structure, and analytical systems — published here first, then to my professional network.
The essays →I lead search at one of the world's largest agencies, manage my family's capital through market cycles, and write about how all of it is changing.
I'm Amos Ductan — a husband and father in West Orange, New Jersey. I majored in psychology twenty years ago, and it turned out to be the most practical thing I ever studied: search is human intent at scale, markets are human emotion at scale, and AI is now a mirror held up to both.
Professionally I've spent nearly two decades at Razorfish, where I serve as SVP, Search, leading the national paid search practice — and recently took on the additional role of leading our Media AI Center of Excellence. Long enough, in other words, to have watched the discipline reinvent itself three times, and to be genuinely useful in the current reinvention, the AI one.
Personally, the same analytical habit runs through everything: the markets I study nightly, the systems I build with AI, and the slow, deliberate project of teaching my family how capital works. I speak English, Spanish, and Haitian Creole — and I believe range is something you practice, not something you claim.
As SVP of Search at Razorfish, I lead the national search practice — helping guide major brands — and write publicly about where AI is taking discovery and search: agentic shopping, zero-click answers, and visibility inside the engines themselves. I also lead our Media AI Center of Excellence. In 2026, Google named me one of ten Agency Changemakers for my perspective on AI, talent, and the future of search.
Ten published pieces on AI and the future of search — newest first.
Google search revenue grew 19% with query volume at all-time highs. AI isn't replacing search — consumers are layering new discovery on top of it.
Winning in AI answers takes more than GEO — it takes a coherent brand narrative across owned and third-party ecosystems that AI systems can trust.
Treating AI answer-engine ads like classic search ads misses what they are — brand-building surfaces that need their own creative and measurement, not last-click math.
AI agents now select brands upstream, before the consumer ever sees a result — the attribution gap modern marketers have to solve.
OpenAI's Instant Checkout turns ChatGPT into a place you buy, not just ask — a new front door for the purchase intent that used to leak straight to retailers.
AI search visibility as a leading indicator — where a brand is strong in AI answers, and where the gaps are, predicts performance everywhere else.
Traffic is down and AI Overviews are taking over — but high-value intent is getting sharper. Brands that own the answers will win.
How Google is rebuilding the advertiser toolkit for an AI-first ecosystem — more real-time insight and control at every stage of the funnel.
AI agents can now search, compare, and buy from a single prompt. Agents reward clarity, reliability, and relevance — brands built for them will win.
How large language models and AI-powered engines reshaped the search landscape for brands — written as it began.
Where my work and commentary on AI and search show up beyond my own byline — features, quotes, and conversations.
Google named me one of ten agency leaders rethinking talent, strategy, and transformation with AI — in Think with Google's Agency Changemakers series.
A long-form profile on answer-engine optimization, the build-vs-buy call for agencies, and using AI tools as a working dad.
Commentary on the OpenAI–Google AI race: why technical SEO now has to make content easy for AI chatbots to navigate and surface.
On Google AI Mode's visual capabilities: "Frictionless discovery is here. People are comparing and buying directly on AI platforms."
"These platforms can compress the entire funnel into one interaction — you can go from discovery to purchase in hours instead of days."
"AI search visibility is a leading indicator — understanding where a brand is strong, and where the gaps are, helps predict performance everywhere else."
A conversation on the shift from keywords to prompts — merging SEO and paid media for a world where AI is the new front door.
An ANA Search Committee session on the early AI-search trends and what brands need to do to stay ahead as discovery is rebuilt.
A session on how AI platforms rank brand content — and the practical moves that get a brand into the top AI answers. Full recording.
The through-line: I joined search when it was a spreadsheet discipline and stayed for its reinvention as an AI one. Same auction theory, same intent data — new machines reading it.
I'm foremost an investor and student of price. I think about markets with a cycles framework — measuring them from low to low, across timeframes — which requires the patience to act only when the structure confirms.
A cycle is measured from one major low to the next: advance, peak, decline, low. Knowing where you are in that sequence matters more than any forecast.
Daily, weekly, and multi-year cycles are read together. A daily signal means one thing inside a rising yearly cycle and the opposite inside a failing one — context decides.
A low isn't a low until price proves it. I act on confirmation, not anticipation — strict structural rules that take the ego out of the trade.
The best entries in market history were moments of maximum discomfort. The framework exists to make meaningful selloffs buyable — with sizing and stops decided in advance.
This site is where I publish what I write. The ten Razorfish Perspectives articles live in The Work above; these are the original essays, including the cycles methodology and the gold and silver studies.
How I read markets from low to low: cycle anatomy, right and left translation, failed cycles, and why price action comes before everything else.
Four weekly cycles in silver after a blow-off top, read week by week: crash cycles, the model advance, the wick that called the top, and left translation in series.
Three completed 8-year cycles in gold — textbook, warning, echo — and the discipline of counting days under the low.
Watching AI agents choose brands clarified what trust actually is — not a feeling brands project, but a property machines can audit.
The world runs a curriculum on money — lottery thinking, FOMO, fear at the lows. At our kitchen table we run a competing one.
I build with AI daily — not as a demo, but as working product. These are live, public sites I designed, built, and run: data references, market tools, and things my family actually uses.
A rules-based warning system for U.S. equities down 20%+ from their 52-week high — refreshed nightly across roughly 3,000 names. Recognition, not advice: it tells you when something you own is in structural decline.
Six decades of U.S. home-sales history — 1963 to today — organized so every year and every metro has its own page. Built as a citable reference, and AI answer engines already cite it.
Where can the kids go at 6 a.m.? A finder for early-morning, kid-friendly places near you — born from weekends in our house that start well before sunrise.
An interactive-explainer studio for advocacy and education organizations — turning dense reports and findings into pages people actually read to the end.
What's actually selling near me? A self-contained dashboard of 2,200+ home sales across seven Essex County, NJ towns — map, price and $/sqft trends, and an adjustable radius search.
Keyword and demand intelligence assembled from eleven free public sources — autocomplete engines, forums, trends, filings — cross-scored so you can see what people are really searching for.
For speaking, consulting, or strategic conversations on search, AI, and markets — get in touch.