Expertise · Supporting SEO Execution
AI Automation & Programmatic SEO
SEO is my core skill; the automation and tooling below are how I scale the execution and QA side of it — including a working AI-visibility monitor I built myself.
AI visibility monitoring — automation I built
I built an automated workflow using Make.com and the Google Gemini API that runs real buyer-intent search queries through an AI engine on a schedule, then logs the results to a Google Sheet: whether a brand is cited in the generated answer, which competitors appear instead, and which sources the AI is drawing on and trusting.
The point is to catch a brand quietly dropping out of AI-generated answers before that shows up as a traffic dip in GA4 or GSC weeks later — AI Overviews and chat-based assistants increasingly intercept a question before it ever becomes a click.
Honest scope
This is a v1 — a working proof of concept I'm actively expanding, not a finished commercial product. It's a useful proxy for AI-answer visibility over time, not a replacement for manual SERP and AI Overview checks.
AI-assisted SEO workflow
I use ChatGPT, Gemini, Claude, and Genspark across audits, content drafting, and keyword/competitor research to move faster through the repetitive parts of the work. The judgment calls — what to prioritize, what a client's content should actually say, what passes QA — stay with me; AI speeds up execution, it doesn't replace the review.
Programmatic SEO
I'm experienced in template- and data-driven page generation at scale — structuring a data source and a page template so a large set of near-identical-intent pages (by location, category, or product attribute, for example) can be generated and internally linked consistently, rather than built one by one by hand. This is a real, applicable skill rather than a flagship case study on this site yet — I'd rather say that plainly than overstate it.
AI-search structure (GEO/AEO)
Answer-first content structure — a tight summary near the top of a page, question-based subheadings, and consistent entity naming — is what makes a page easy for an AI system to extract and cite, on top of standard SEO fundamentals. I designed and shipped exactly this template on a prior engagement, and client pages subsequently began appearing in Google AI Overviews. Full detail is on the Content Strategy at Scale page.
FAQ
AI Automation & Programmatic SEO — Questions
What is the AI visibility monitor you built?
A Make.com workflow that runs real buyer-intent queries through the Google Gemini API on a schedule, logs whether a brand is cited in the AI-generated answer, which competitors appear instead, and which sources the AI drew on, into a Google Sheet for tracking over time.
Is it a finished product or a work in progress?
It's a v1 — a working proof of concept I built and am actively expanding, not a polished commercial tool. I'm upfront that it's a useful proxy for AI-answer visibility, not a replacement for manual SERP and AI Overview checks.
What do you mean by programmatic SEO experience?
I'm experienced in template- and data-driven page generation at scale — structuring a data source and a page template so that a large set of near-identical-intent pages can be generated and internally linked consistently, rather than writing each one by hand.