Built a fully automated AI workflow that mined 500+ Reddit discussions to uncover hidden customer pain points, sentiment trends, and content gaps. Connected Reddit insights with GA4, GSC, and Screaming Frog embeddings to generate real-time content and SEO recommendations — transforming social chatter into measurable business growth.
Key Outcome:
Discovered untapped ranking opportunities and created new high-performing FAQs, boosting organic traffic and engagement for local home service clients.
AI-Driven Content Clustering & Brief Automation System
Created an AI content clustering engine using embeddings + GPT-assisted labelling. Grouped hundreds of keywords and pages into clean topical clusters tied to search intent and revenue priority. Built automated content briefs with meta suggestions, H2 outlines, competitor gap detection, and internal link paths.
Key Outcome:
Faster content creation cycles; +40% improvement in content-to-rank timeline for new service pages.
AI-Powered Internal Linking System for Topical Authority
Designed an AI-driven internal linking engine using embeddings, UMAP clustering, and semantic similarity scoring. Analyzed 124+ URLs to identify content gaps, cluster themes, and map high-authority pages to conversion-focused pages. Automated weekly recommendations for new links that strengthen relevance and improve crawl efficiency.
Key Outcome:
+34% increase in organic entrances to under-linked pages; stronger semantic structure leading to improved rankings for competitive service terms.
Project Overview
This project focused on building a scalable Local SEO framework for multi-location home services brands, improving call volume, bookings, and hyper-local visibility.
Using GBP optimization, image EXIF enrichment, Reddit insights, and structured content improvements, I built a local growth engine that compounds every month.
Project Overview
This project focused on transforming the SEO performance of an industrial energy/inspection services company operating in a highly competitive B2B sector. The challenge: most competitors relied heavily on expensive paid ads, while the organic footprint was underdeveloped due to weak landing pages, outdated content, and no local optimization.
The Goal:
Build a scalable, SEO-first growth engine using AI-driven insights, RICE prioritization, and high-value service + location landing pages.
Project Overview
This project involved designing a complete demand-gen engine for a SaaS platform, powered by AI-driven content clustering, CRO experimentation, and automated briefs. The objective was to strengthen demo request volume by aligning product value with the real language users were searching for.
The result was a fully operational content + CRO engine that integrated AI and analytics at every stage.
Project Overview
Over several years working as a Senior SEO & Digital Marketing Manager, I’ve optimized and grown multiple Canadian brands across automotive, home services, retail, and SaaS, including:
- Prestige Carpet Cleaning
- Prestige Duct Cleaning
- ProSolutions Plumbing, Heating & AC
- Kia Canada
- PostNow Direct Mail
The challenge was unique: each business had different funnels, audiences, and ranking signals requiring a flexible but scalable SEO framework.
Let’s Build What’s Next
From automating insights to building AI-ready SEO frameworks, I specialize in helping brands turn data into real business outcomes. If that sounds like your next move, let’s make it happen.
