Daniel Kremer's SEOkomm session drops the usual relaunch checklist in favor of an engineering-first approach. The core idea: use vector embeddings to semantically match old pages to new ones during migration, instead of relying on keyword overlap or manual mapping. Screaming Frog handles the crawling and custom extraction, then sentence transformers convert content into vectors. Faiss does the similarity search. The whole pipeline runs in Google Colab.
The practical takeaway is the 80% philosophy — get redirects mostly right, ship, then iterate. Perfectionism kills relaunch timelines. KLIXPERT.io applied similar methods on a WordPress-to-Shopify migration with solid results.
If you've ever stared at a spreadsheet trying to map hundreds of old URLs to new ones by hand, this approach turns a tedious manual task into a measurable, repeatable process.