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Saved February 14, 2026
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This article explains how HubSpot increased AI citations by 642% using a writing technique called semantic triples. By structuring information as subject-predicate-object, they made content more understandable for AI models while keeping it reader-friendly. The piece offers practical tips for integrating this method without sacrificing quality.
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AI engines, like ChatGPT, have become essential sources for product and service recommendations. To increase visibility in these AI tools, HubSpotโs Growth team experimented with semantic triples, a writing structure that clarifies context using a subject-predicate-object format. This approach helped them achieve a 642% increase in citations from AI, demonstrating the effectiveness of clear and structured content.
Amanda Sellers, HubSpot's head of EN blog strategy, emphasizes that while semantic triples are beneficial for SEO, they're crucial for AI engagement optimization (AEO). During their experiment, HubSpot transformed paragraph content into bulleted lists of semantic triples, which made it easier for AI to understand and relate to their brand. This shift led to a 58% increase in mentions of HubSpot in AI-generated answers.
Sellers provides practical tips for implementing semantic triples without sacrificing readability. She advises including one triple per core concept, targeting both humans and bots with the same content, and using answer-first phrasing to grab attention. Key information should be placed early in paragraphs to accommodate skimmers and AI engines that often extract content out of context. Lastly, certain content types, like product comparisons and reviews, are ideal for this approach, as they lend themselves to straightforward, effective communication. HubSpot also offers a free AEO grader to help assess content effectiveness in AI visibility.
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