Structured Content for NLP refers to organizing your content in a way that makes it easier for Natural Language Processing (NLP) algorithms—like those used by Google and AI tools—to understand. This means using clear headings, consistent formatting, schema markup, bullet points, and well-defined relationships between concepts.
The goal is to help search engines (and AI assistants) accurately interpret the meaning of your content and match it to relevant queries. In B2B SEO, this structure is key to ranking in featured snippets, enabling better semantic understanding, and increasing visibility in AI-powered search experiences.
Example:
A B2B SaaS blog post on “Revenue Operations” uses H2s for each subtopic, bullet points for frameworks, internal links to related terms, and schema for FAQs. The result? It ranks in a featured snippet and shows up prominently in AI-generated summaries.