How businesses are using ChatGPT to generate revenue

The emergence of generative AI as a primary discovery tool fundamentally shifts how consumers find products, moving from search-based retrieval to conversational recommendation. This transition challenges traditional digital marketing strategies, as chatbots distill information into single, authoritative answers rather than listing options. For businesses, visibility now depends less on keyword optimization and more on how well their data is structured for machine comprehension, creating a new landscape where algorithms act as gatekeepers of consumer attention. This shift poses significant implications for small businesses, particularly those in emerging markets like African SMEs. While early adopters with clean, structured data may benefit from organic discovery, those relying on informal platforms like WhatsApp or Instagram face potential invisibility. The convenience of AI-driven commerce risks excluding businesses that are not "machine-readable," effectively creating a digital divide based on technical infrastructure rather than product quality or marketing effort. For open data enthusiasts, this article highlights the critical importance of machine-readable data and open standards in preserving fair market access. As AI systems increasingly dictate consumer choices, the ability of data to be easily parsed and understood by algorithms becomes a determinant of economic survival. This underscores the need for transparent, standardized data practices to prevent algorithmic bias and ensure that diverse businesses remain visible in an increasingly automated economy, where the clarity of data directly influences economic opportunity.

Source: techcabal.com
Published on 2025-10-25

How businesses are using ChatGPT to generate revenue

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