SEO has come a long way from the days of keyword stuffing. Modern search engines like Google now rely on advanced natural language processing (NLP) to understand searches and match them to relevant content.
This article will explain key NLP concepts shaping modern SEO so you can better optimize your content. We’ll cover:
- How machines process human language as signals and noise, not words and concepts.
- The limitations of outdated latent semantic indexing (LSI) techniques.
- The growing role of entities – specifically named entity recognition – in search.
- Emerging NLP methods like neural matching and BERT go beyond keywords to understand user intent.
- New frontiers like large language models(LLMs) and retrieval-augmented generation (RAG).
