Every December, we wrap up Content Marketing, Engineered with a tradition: a trends conversation with TREW Marketing’s own Lee Chapman. This episode focuses on how Industrial Marketers can reckon with the new age of AI and differentiate themselves among a "sea of sameness" and what marketing strategies to focus on in 2026.
2025 was a year of massive transformation for industrial marketers. As AI tools matured and generative search became a primary gateway for technical buyers, long-standing content and inbound strategies were forced to evolve. Marketers saw firsthand how important differentiation, depth, and authentic expertise is to stand out and earn trust.
AI Has Leveled the Tactical Playing Field
According to Lee, 2024 and 2025 were years of experimentation. Marketers used AI to produce content faster than ever but this caused everyone to sound alike and create an overwhelming amount of noise. Lee says the biggest trend for 2026 is a differentiated strategy.
With AI providing instant answers to basic queries, surface-level content no longer cuts it. Technical buyers still end up on your website, and when they do, they’re looking for clarity, technical depth, and authenticity. If your content doesn’t communicate a strong value proposition and true expertise, it’s easy for prospects to bounce back to AI or head to a competitor.
Your Website Must Earn Its Keep
Lee highlighted two extremes plaguing engineering websites today:
Both fail to meet the needs of technical buyers. Lee recommends a website and content audit using a keep/kill/create framework, elevating high-value content, and ensuring users can find what they need with minimal clicks.
Trade Shows: Substance Over Swag
Events are booming again, but many companies are “checkboxing” their presence rather than building a strategic plan around them. Lee stressed the importance of:
Content: Go Deep, Get Specific, Prove It
Technical audiences still value white papers, webinars, case studies, and research if they contain meaningful depth. Lee emphasized developing more proof-driven assets, including unnamed case studies when needed, and turning high-performing content into webinars or videos. Voice-of-customer research and even closed-lost surveys are underrated tools for uncovering differentiators AI can’t replicate.