How AI Can Improve Your Business Today.
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| Authors: | FEIFER, JASON (AUTHOR), BRODY, LIZ (AUTHOR), MACHOL, NICK (AUTHOR), WALKOW, JASON (AUTHOR) |
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| Source: | Entrepreneur. May/Jun2026, Vol. 54 Issue 3, p52-64. 9p. 6 Cartoon or Caricatures. |
| Subject Terms: | *Artificial intelligence, *Search engine optimization, *Rate of return, *Industrial efficiency, *Data analytics, *Business revenue, *Business planning |
| Abstract: | The article focuses on practical strategies for businesses to improve their return on investment (ROI) with artificial intelligence (AI), particularly through answer engine optimization (AEO), which enhances visibility in AI-driven search queries. It highlights common mistakes companies make with AI adoption, such as lacking CEO involvement, unfocused experimentation, and neglecting data preparation, while emphasizing the importance of aligning AI use with strategic business goals and maintaining authentic brand voices. Additionally, it presents AI-powered tools and workflows for sales follow-ups and executive time management that increase efficiency and competitive advantage. The article underscores that successful AI integration requires both technological adaptation and human-centered approaches to realize meaningful business value. [Extracted from the article] |
| Database: | Entrepreneurial Studies Source |
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| Abstract: | The article focuses on practical strategies for businesses to improve their return on investment (ROI) with artificial intelligence (AI), particularly through answer engine optimization (AEO), which enhances visibility in AI-driven search queries. It highlights common mistakes companies make with AI adoption, such as lacking CEO involvement, unfocused experimentation, and neglecting data preparation, while emphasizing the importance of aligning AI use with strategic business goals and maintaining authentic brand voices. Additionally, it presents AI-powered tools and workflows for sales follow-ups and executive time management that increase efficiency and competitive advantage. The article underscores that successful AI integration requires both technological adaptation and human-centered approaches to realize meaningful business value. [Extracted from the article] |
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| ISSN: | 01633341 |
