Entity Prominence Map
See where your key entities appear across your document — and where they go missing.
Named entities — people, organisations, places, dates, statistics — are the anchors AI systems use to connect content to queries. This tool identifies every entity in your content, shows where they appear, and visualises their prominence and density.
Named entities — researchers, organisations, studies, statistics, dates, and places — are the primary anchors AI systems use to match content to queries. High entity density gives AI more to anchor on, more to reference, and more to cite with specificity.
AI systems weight content earlier in a document more heavily. Entities that appear in the first 20% of a document carry more prominence signal than those appearing later. The map shows you where your entities are concentrated — front-loading entities is a structural strategy.
Named researchers (Aggarwal et al., Zhang et al.) and specific studies are some of the highest-value entities for AI citation matching. Content that names the sources of its claims is more likely to be cited by AI when those sources are queried. Source attribution is both an evidence signal and an entity strategy.
Content that makes general claims without naming sources, organisations, people, or specific studies tends to be entity-sparse. Entity-sparse content gives AI systems fewer anchor points — making it harder to retrieve, cite, and absorb. The map makes this visible.
See where your named entities are concentrated, which sections are entity-sparse, and how your overall entity density compares to content optimised for AI citation.