{"id":530530647,"date":"2024-08-14T11:00:11","date_gmt":"2024-08-14T15:00:11","guid":{"rendered":"https:\/\/contently.com\/?p=530530647"},"modified":"2024-08-19T11:43:17","modified_gmt":"2024-08-19T15:43:17","slug":"natural-language-processing-and-seo-content-strategy","status":"publish","type":"post","link":"https:\/\/contently.com\/2024\/08\/14\/natural-language-processing-and-seo-content-strategy\/","title":{"rendered":"NLP SEO: What Is Natural Language Processing and Why It Matters for SEO"},"content":{"rendered":"

As a content marketer, your job is to create engaging pieces that organically connect with readers (or listeners, or viewers… you get the gist).<\/p>\n

This means you need to be intentional and attract the\u00a0right<\/em>\u00a0traffic to your website\u2014and to do that, you have to create content that actually shows up on search engine results pages (SERPs). But this is becoming more challenging today, with the rise of AI-powered search and zero-click results. The SEO landscape is undergoing a\u00a0seismic shift<\/a>, and it’s an adapt-or-die moment for many content creators.<\/p>\n

To stay ahead of the curve, it helps to know a bit about the technology underpinning these latest developments, such as NLP SEO. Below, we explore the nuances of natural language processing (NLP)<\/a>\u2014one of the core technologies driving the evolution of search engines and content discovery\u2014and how NLP and SEO work together.<\/p>\n

What is Natural Language Processing? Let’s Review the Basics<\/h2>\n

NLP is a branch of artificial intelligence that converts written and spoken words (“unstructured data”) into structured material a machine can interpret. NLP platforms analyze massive volumes of words and phrases to find meaning, patterns, and context. NLP is more prevalent than you might realize\u2014Alexa, Siri, and Google voice assistants all leverage it.<\/p>\n

NLP is also one of the core technologies used in large language models (LLMs) like ChatGPT\u2014though it’s just one part of the sophisticated algorithms that make up these multimodal foundation models. (“Multimodal” meaning they process more than just text; the latest iterations of today’s popular LLMs also understand and generate video, voice, and images.)<\/p>\n

As NLP evolves and becomes more sophisticated, experts\u00a0predict<\/a> the market will reach $453.3 billion by 2032.<\/p>\n

What Is NLP in SEO, and How Does It Drive Google Search Algorithms?<\/h2>\n

NLP is also a component of\u00a0Gemini<\/a>, the umbrella name for Google’s family of AI models. Gemini leverages NLP to enhance its understanding and generation of human language. By integrating NLP, Google aims to provide more accurate and contextually relevant search results, support complex conversational interactions, and improve user experiences across its various suite of services.<\/p>\n

More generally, a few ways NLP impacts search include:<\/p>\n