Deriving technology indicators from corporate websites: a comparative assessment using patents

Sebastian Heinrich

Applied Economics Letters, 2025, vol. 32, issue 1, 28-41

Abstract: This paper investigates the potential of indicators derived from corporate websites to measure technology related concepts. Using artificial intelligence (AI) technology as a case in point, I construct a 24-year panel combining the texts of websites and patent portfolios for over 1,000 large companies. By identifying AI exposure with a comprehensive keyword set, I show that website and patent data are strongly related, suggesting that corporate websites constitute a promising data source to trace AI technologies.

Date: 2025
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DOI: 10.1080/13504851.2023.2244228

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