Past talk
Your Competitors Are Still Prompting. You Could Be Building
- Event
- SEO Week
- Date
- Location
- New York City, NY
How to use ML as research infrastructure rather than a shortcut - embeddings, clustering, and LLM pipelines, with notebooks you can run on your own data.
I show you how to use ML as research infrastructure, not just a shortcut. The session covers real workflows using embeddings, clustering, and LLM pipelines, and leaves you with a practical framework for matching the right model to the right problem - plus hands-on notebooks you can run on your own data immediately.
What you’ll learn
- A model-selection framework for SEO tasks: when to use embeddings, clustering, or LLMs, and why combining them is where the real leverage is.
- How to build a modular ML pipeline that automates competitor research, content gap analysis, and keyword cannibalization at scale.
- Ready-to-run notebooks you can apply immediately to your own GSC, crawl, and SERP data.
From this talk
colab
Competitor Content Gap Analysis
Compare your site against a competitor's using embeddings and topic clustering instead of keyword lists. Free local version, or a few dollars for the LLM write-up.
colab
Internal Link Opportunities
Find internal linking opportunities with embeddings and similarity scoring instead of page-by-page review, with an LLM writing the anchor text at higher tiers.