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As buyers increasingly turn to large language models for product research, B2B marketing strategies must evolve to accommodate for this shift, according to a panel of CMOs speaking at HubSpot’s INBOUND conference earlier this month.
Chief marketers from G2, Notion and Deloitte—companies at the forefront of the AI marketing revolution—emphasized the importance of brand marketing for B2B organizations, rethinking owned communications and the benefits of AI experimentation.
“I think a lot of us took advantage of the fact that we could buy demand without investing in brand for a long time. And now you can’t,” said Sydney Sloan, CMO at software review platform G2. “Your brand has to play a larger role because you still want people to think about the brand, if the LLM is not indexing on it yet,” she said.
Though it’s not always perceived as such, buyer decision-making is an emotional process rather than a rational one, according to Lena Waters, CMO at AI workspace tool Notion. “The fallacy in B2B marketing is that we assume that people make decisions via logic, and really we know they make them with emotion … That doesn't go away with B2B. I think we accept it for consumer, so why not through business? … That’s where the brand is going to come in and play that huge part.” Read on to learn how B2B companies can keep pace in the AI era.
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