When Customers Don't Search: How AI Is Compressing the B2B Buying Journey
Original Article Summary
McKinsey puts $750B in US revenue flowing through AI search by 2028. The brands winning now are treating data accuracy as a customer experience KPI. Continue reading...
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McKinsey's prediction of $750B in US revenue flowing through AI search by 2028 highlights the significant impact of AI on the B2B buying journey. This shift is driven by AI assistants that are redefining customer experience (CX) by providing accurate and relevant information, thereby compressing the buying journey. For website owners, this means that traditional search patterns and customer behavior are changing rapidly. As AI assistants become more prevalent, customers are no longer relying solely on traditional search engines to find information. Instead, they are using AI-powered tools to navigate the buying journey, making data accuracy a critical component of customer experience. Website owners must adapt to this new reality by prioritizing data accuracy and ensuring that their online presence is optimized for AI-driven searches. To stay ahead, website owners should take the following actionable steps: (1) review and refine their website's data accuracy to ensure it meets the evolving standards of AI-powered searches, (2) monitor AI bot traffic to their site and adjust their content strategies accordingly, and (3) update their llms.txt files to reflect the changing search landscape and prevent unwanted AI bot interactions.
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