A decade of B2B content strategy built on volume, keyword optimization, and organic traffic is colliding with Google's March 2026 core update and AI Overviews. This post audits which tactics are now actively harmful and which foundational principles have proven durable.
AI-assisted teams now publish 42% more content than their counterparts, but 81% have no way to show it's working. Here's how small B2B teams can build a minimal viable measurement stack that ties publishing output to actual pipeline.
AI-referred sessions grew 527% in early 2025, yet most editorial workflows were built to produce articles, not citable passages. This post breaks down the specific formatting decisions that determine whether AI systems extract and attribute your content.
Publishing blog content manually costs far more than the freelancer invoice and the math quietly kills most content programs before they compound. Here's how to reframe the economics.
Google's March 2026 core update and the spread of AI Overviews have quietly shattered the $25-$30 per-article math that B2B content teams relied on. Here's what a fully-loaded, six-step cost model actually looks like now, and why more AI means more human oversight, not less.
AI adoption among B2B marketing teams has surged to 91%, yet fewer teams can prove ROI than a year ago. The problem is that teams are measuring content generation while ignoring the full publishing lifecycle that actually drives organic growth.
Almost every B2B team publishes thought leadership, but only 4% describe their own programs as genuinely leading. The problem is the absence of a formal system for turning internal expertise into opinionated content.
Google's December 2025 core update quietly made author credibility the new ranking currency, and most bloggers haven't caught on yet. This post explains how to build a structured "author authority stack".
