Why AI Often Overlooks B2B Companies and How to Fix It
News related to:The Invisible Audience · 2 min read
BELLEVUE, OR, UNITED STATES, October 22, 2026 /CourierPR/ -- Maria Dykstra, an AI Visibility Architect, has released a new book titled "The Invisible Audience," which explores why artificial intelligence (AI) systems often overlook B2B companies when buyers are shortlisting potential vendors. The book, available now in paperback and set to release its Kindle edition on October 22, 2026, offers insights into the seven layers of the Algorithmic Authority Stack, a framework Dykstra developed to help companies understand and address the issues that can lead to AI misinterpretations.
Dykstra's research, which traced 1,855 citations across 160 AI answers, revealed that 30 out of 40 AI source recommendations came from companies selling in the same category. This finding underscores the critical role that companies play in shaping their own visibility in AI-driven buyer decision-making processes. Dykstra's study, which examined more than 50 B2B companies, identified seven key areas where AI can misinterpret or overlook a company. These layers include market identity clarity, expertise architecture, semantic density, training-ready content, algorithmic touchpoint presence, trust and proof signals, and visibility measurement.
The paperback version of "The Invisible Audience" is priced at $14.99, while the Kindle edition will be available for $9.99. Pre-orders are now open on Amazon. Dykstra, who has spent 13 years at Microsoft working on advertising and search systems and founded and led TreDigital for 13 years, emphasizes the importance of understanding how AI systems operate.
The book is aimed at B2B founders, CMOs, and marketing teams, providing a detailed guide on how to ensure their companies are correctly represented in AI-driven buyer recommendations. Dykstra's work, which has been recognized by LinkedIn as a Top Voice in Digital Strategy and Content Marketing in 2024, offers a comprehensive approach to improving a company's visibility in the eyes of AI systems. By addressing the seven layers of the Algorithmic Authority Stack, companies can increase their chances of being recommended by AI systems, even when their products are strong.
Dykstra's book is not just a theoretical exploration but a practical guide. It offers a 30-day plan to help companies diagnose and address the issues that can lead to AI misinterpretations. The seven layers of the Algorithmic Authority Stack cover topics such as market identity clarity, expertise architecture, semantic density, training-ready content, algorithmic touchpoint presence, trust and proof signals, and visibility measurement. Each chapter delves into these areas, providing actionable insights for companies looking to improve their AI visibility.
In conclusion, "The Invisible Audience" by Maria Dykstra is a valuable resource for B2B companies seeking to navigate the complexities of AI-driven buyer decision-making. By understanding the seven layers of the Algorithmic Authority Stack, companies can take proactive steps to ensure they are not overlooked by AI systems and are more likely to be recommended by buyers.