What the article argues
B2B buyers used to start with a shortlist of familiar vendors, then look for material to confirm a choice. That model gave customer case studies a clear job at the end of the funnel: closing an already-engaged buyer.
Mimi Turner, Global Head of Thought Leadership Strategy at the LinkedIn B2B Institute, argues that AI assistants are changing that sequence. Buyers can now open a conversation with their own use case, business context and success criteria, which makes early relevance more important than late-stage persuasion alone. Her article was published October 30, 2026.
The Buyability idea, briefly
The article frames customer evidence as one way to demonstrate fit before a buyer has settled on a shortlist. Buyers, it argues, look for reputational validation signals. Turner groups these into three, which she calls Buyability signals: Recommendations, where a customer, peer or expert vouches for the brand; Relationships, where familiarity or prior experience exists; and Relatability, where the buyer can see themselves in the proof on offer.
None of these is new to marketing. What changes is where they need to show up. When evidence of relevance is discoverable early, it can travel into AI-mediated research before a buyer is ready to talk to sales.
The numbers behind the argument
Turner cites research by LinkedIn and Bain & Company among 750 senior B2B buyers. In it, being heavily recommended by customers and colleagues was more than three times as influential in moving a vendor from shortlist to purchase as a lower price or a better product. The same research found that buyer recommendations also act as career cover well after purchase: 'companies like us recommended them' was the most defensible reason buyers said they would give if a decision went wrong.
A second study, a report with WARC and LIONS Advisory called 'How To Build More Buyable Brands,' analyzed 700 B2B award-entry campaigns. Customer testimonials, use cases and recommendations appeared in 64% of High Buyability campaigns versus 16% of Low Buyability campaigns, the largest gap across any signal. High Buyability campaigns were 1.91x more likely to report improvement in mid-funnel metrics such as consideration and purchase intent, and 2.1x more likely to report incremental revenue growth.
