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LATEST ARTICLES
The AI maturity benchmark report: where marketers stand in 2026
Most marketers will tell you they use AI every day. What the data shows is a different story. A few weeks ago, we launched an AI skills assessment to help marketers identify where they actually stand, whether they’re AI-assisted, AI-integrated, or truly AI-native. The assessment was built to measure real […]
The 5 skills modern marketers need to become AI-native
AI-assisted marketers are becoming more replaceable. Marketers who build AI systems around their work are becoming more valuable, more in demand, and harder to compete with. That’s not speculation. Over the past few months at CXL, we surveyed hundreds of B2B marketers and analyzed how AI is reshaping marketing roles, […]AI in marketing job descriptions: What 1,750 job posts reveal
The change in skills requirements for AI in marketing jobs has gotten very specific very fast. We scraped around 1,750 marketing job descriptions across two periods: roughly 1,000 from January 2026 and 750 from May 2026. Four months of job description data doesn’t sound like much. But when mentions of […]Google’s AI search optimization guide is right about the basics
Last week, Google published its first official guide on generative AI optimization, and it’s the reset a lot of marketing teams needed. Every week brings a new batch of AI-search optimization “hacks,” like llms.txt files, content “chunking”, AI-specific schema, or inauthentic brand “mentions”, and most of them aren’t worth the […]How teams use AI in B2B marketing in 2026
AI adoption in B2B marketing is accelerating. Effective AI adoption, however, is not. Our research suggests most marketers are still applying AI tactically rather than systematically, focusing on tools instead of building scalable operating systems. To understand what’s really happening beneath the hype, we combined behavioral and survey data.
