This talk explains why semantic keyword research outperforms strings-based methods by clarifying what modern “semantic search” means—entities, context, and intent—and why static keyword lists aren’t enough.

We’ll run through core concepts in practice—query understanding, paths, and augmentation; user behavior and context signals; SERP interpretation; and intent—and show how Google and AI/LLM search apply them.

You’ll see how to scale with AI/ML via quick demos of clustering, classification, entity extraction, and fuzzy matching, plus implementing semantic query understanding, synthetic queries, and AI-based retrieval.

Then we’ll walk a copy-ready workflow: build a semantic keyword universe, turn it into topic maps, and generate content briefs with free templates and tools. We’ll close with a 6-step starter plan, pitfalls to avoid, and links for continued learning.