This document discusses scaling keyword research to find content gaps. It begins by explaining how keyword research has changed from 2013 to focus more on SERP features replacing the top blue links. The presenter then outlines an agenda to map SERP features to content formats, use those to research gaps in content formats for underperforming keywords, and automate the process using Python. Code examples are provided to extract keywords from Google Search Console, get their SERP features from SEMrush, check web pages for expected content formats, and generate a report of missing formats. Resources for learning more about the techniques are also shared.