About
Twenty years of enterprise technical SEO
I work the seams between data sources. That’s where most enterprise SEO breaks down, and where most insights actually live. Lately that work has involved building the tooling to make cross-source analysis automatic. The result is faster turnaround without giving up depth.
How I work
Background, philosophy, and how the work tends to come together.
Rick Ramos
Enterprise SEO Leader
I’m an enterprise technical SEO leader with two decades of experience driving organic growth at Fortune 500 scale, across global retailers, enterprise SaaS, financial services, healthcare, gaming, and consumer brands. The pattern I find most consistently broken in enterprise SEO is the gap between data sources: Screaming Frog, GSC, GA4, and Ahrefs each describe the same site from a different angle. None of them tell the full story on their own, but layered together they create a much richer narrative than any single tool produces. That blended view is where the real insights live, and that is where I focus. Lately I’ve been building tools to make those cross-references automatic. The most recent example is a 109-tool MCP intelligence platform with a DuckDB backend and Next.js frontend that compresses 40-60 hour enterprise audits into 10 hours. The skill isn’t writing the code line by line; it’s the planning, problem decomposition, and quality judgment that AI tools amplify.
I serve as architect, project manager, and QA lead on every engagement. The skill isn’t writing the code or running the tools. It’s the planning, problem decomposition, and quality judgment that AI amplifies. The case studies on this site illustrate how that plays out in practice: what gets built, what gets recommended, and how the constraints shape the solution.
See the work, not just the bio
Three case studies covering tool building, enterprise migration, and zero-loss domain consolidation. Each one anonymized but otherwise factually accurate.