I build AI-native growth and revenue systems for B2B SaaS.
B2B SaaS growth stalls when execution systems lag behind strategy: weak attribution, unclear priorities, and demand that isn't tightly enough to revenue. I build the operational infrastructure that fixes those gaps: systems for content, demand generation, and measurement that compound over time.
Over 13 years I've built organic growth functions for B2B SaaS, scaled to 1M+ monthly sessions, and built a 100k+ session publication from scratch as a founder. I've managed cross-functional teams across content, design, and engineering, and designed the SOPs and delivery frameworks that let companies scale output without scaling cost.
My current focus is the next layer of growth operations: AI-augmented operational systems built in Cursor and Claude, post-attribution measurement (MMM, Share of Search, LLM visibility), and the GEO/AEO discoverability layer, alongside the technical SEO and content strategy fundamentals that still drive most of the results.
These results come from fixing the same underlying issues: unclear priorities, weak execution systems, and organic growth that isn't tied closely enough to the business.
SEO execution
Good strategies fail when executed poorly. You need to fix the mechanics involved in making a website work properly - architecture and internal linking, rendering and indexability, content operations, QA, accessibility, compliance.
Better operations
A well built and properly documented system used by an agile team beats a larger team using inefficient methodologies every time. I built a team that reduced spend by 80% whilst achieving 2x on KPIs.
Skin in the game
I've built websites from scratch and know what it costs when growth stalls. I care deeply about building robust, reliable, and accurate campaigns that make SEO a solid long-term financial success.
If your growth has plateaued or your reporting layer tells you about activity rather than pipeline, you have an alignment problem. I find the 3–5 technical or structural levers that are actually holding you back and work with your team to pull them.
Best for: Teams with a legacy SEO setup that has stopped performing.
Most marketing leaders don't have time to audit their agency's or in-house team's work end-to-end. I act as your internal advocate: managing vendors and contributors, setting KPIs tied to MQLs and pipeline, and holding the work accountable to performance.
Best for: Marketing leaders who suspect their agency is underdelivering.
AI makes execution cheap, but judgment is becoming the differentiator. I build operational workflows that use LLMs for research, analysis, clustering, and first drafts across content, demand, and reporting — with human oversight on the decisions that matter. The result is substantially higher operational throughput at a fraction of traditional cost.
Best for: Teams that need to scale content without scaling headcount.
How identical tools and AI workflows have made SEO intellectually conformist, and why mental models, not tooling, are the real competitive differentiator.
There is less than a 1-in-100 chance that ChatGPT or Google’s AI will produce the same list of brand recommendations if you run the same query 100 times. This is the starting point for understanding why AI search attribution is a fundamentally different problem from traditional search tracking.
A guide on turning customer language from Google Reviews into structured messaging for website copy using a specific message-mining framework.
If you want sustainable, measurable growth, or you're hiring someone to lead it, start a conversation or connect with me on LinkedIn.