We've noticed that Discover recommends articles not by keywords, but strictly based on their association with Knowledge Graph entities (people, brands, events). How do you work with the Knowledge Graph when writing content? Is there software that helps scan connections between entities and find hot topics with high reach potential?

The search engine recommends articles not based on dictionaries, but on connections in the knowledge graph. The Google Discover D2TR trend analysis platform has over 10 million entities in its database - brands, people, locations, and events. You can clearly track which connections are most effective for topics and accurately focus on these in your content before publishing.