""HubSpot (subject) can automate (predicate) email marketing (object).""
""With drag-and-drop functionality and an intuitive interface, this tool makes it easier than ever to build campaigns.""
""HubSpot offers an email marketing tool that supports drag-and-drop campaign creation.""
""helped to increase mentions of HubSpot in AI answers by 58 percent, and the number of times HubSpot pages were cited by AI by 642 percent,""
""A human might be able to tell you what the sentence 'Paris is cool' means," she says, per the blog post. "But an AI engine without [immediate] context wouldn't know if we're talking about Paris, France, or Paris Hilton.""
Semantic triples use a subject–predicate–object structure to present clear facts. HubSpot identified key information on pages, rewrote that information into semantic triples, and used bullet points rather than paragraphs. Example edits converted descriptive copy into explicit statements such as 'HubSpot offers an email marketing tool that supports drag-and-drop campaign creation.' Those changes helped increase mentions of HubSpot in AI answers by 58 percent and citations of HubSpot pages by AI by 642 percent. Clear, concise sentence structure supplies immediate context that reduces ambiguity for LLMs and improves the odds that models will cite and mention the source.
Read at Inc
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