Publishing cadence is no longer a creative decision; Google's 2026 indexing behavior has turned it into a capital allocation problem. This post builds a post-type portfolio model with break-even thresholds, dollar figures, and a rebalancing rule so small B2B teams know exactly where to spend.
AI Overviews have repriced what an indexed blog post is worth, and the publishing volume that justified most B2B content budgets 18 months ago no longer holds up. This post rebuilds the cadence-versus-investment model using 2026 CTR baselines, post-March indexing behavior, and the specific volume thresholds where consistent publishing still pays off.
Cost-per-draft looks efficient until you account for indexing survival. This post builds an indexed-asset yield model for two-person B2B teams on sub-$2,000/month budgets, showing what AI content actually costs per ranked, traffic-generating asset after the March 2026 core update changed the rules.
Google's selective indexing and AI Overviews have quietly broken the volume-first content model. For two-person B2B teams, deciding which posts to produce at all now matters more than how much you spend producing them.
Most content teams track cost per article and draft quality. Neither predicts compounding growth. This post builds a concrete model showing how indexing-to-conversion velocity and a single efficiency score reveal whether your publishing stack is structurally capable of reaching revenue.
B2B content teams fixate on volume and cost, but 2025 data points to a different variable: how long your articles sit invisible before Google finds them. This post models what compressing that discovery window by 10 days per article actually does to your traffic over a 90-day period.
