Scan page language
Extract nouns, verbs, phrases, entities, and decision-relevant concepts.
Knowledge Net scans page language, identifies related concepts, and recommends contextual internal links that make the wider portfolio easier to navigate and retrieve.
Recommendations are based on the relationship between the source phrase, destination page, and wider topical structure.
Extract nouns, verbs, phrases, entities, and decision-relevant concepts.
Identify page phrases that can support useful contextual navigation.
Compare extracted concepts against the existing knowledge portfolio.
Match source phrases to the most relevant and useful destination pages.
Show how individual pages contribute to the broader topical structure.
Make published knowledge more connected for buyers, search engines, and AI systems.
Page content, extracted terms, existing site pages, topical structure, and destination context.
Anchor recommendations, related-page matches, contextual internal links, and topical relationships.
Turn a collection of pages into a governed, connected knowledge portfolio.