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"The beauty of freelancing for most of my decade-long career is that I've worked on both sides of the B2B and B2C marketing coin. One week, I'm helping a B2B SaaS brand rewrite a whitepaper. The next, I'm deep in campaign planning for a B2C real estate brand. It's a front-row seat to how marketing works across different verticals. Now, with AI, everything has changed. I've heard it in interviews with marketing leads, seen it in the tools people reach for,"
"In this article, I'll share what I've observed, backed by insights from our State of AI in Marketing 2025 report, to compare how B2C and B2B marketers are each leveraging AI and where they're headed next. Table of Contents How B2C vs B2B Brands Use AI for Content Creation Although the use cases of AI are as varied as they come, one thing is clear: AI has become nearly synonymous with content creation."
"But the way it shows up in B2C versus B2B contexts reveals both strong similarities and subtle differences. And the data from our report makes this very clear. 1. Content Quality Assurance One of the most widely adopted use cases across both sales models is quality assurance. According to our survey, 53.87% of marketers use AI for things like spellchecks, tone adjustments, accessibility reviews, and writing recommendations. Every marketer knows this is the kind of work that quietly eats up hours in the content cycle."
AI has become nearly synonymous with content creation across marketing. Quality assurance is a leading AI use case, with 53.87% of marketers using AI for spellchecks, tone adjustments, accessibility reviews, and writing recommendations. Over half of marketers use AI for copywriting, supporting heavy reliance on written communication in both B2B and B2C. B2C teams prioritize AI for high-volume writing needs under churn pressure. AI adoption appears in interviews, tool selection, and workflow organization, and it is reshaping how teams allocate time between drafting and reviewing content.
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