Most B2B teams pulled the wrong lesson from Google's March 2026 core update. This decision model, built on the Bankrate 160-article dataset and post-update traffic data, identifies the exact monthly publishing volume where full-lifecycle automation with human review becomes cheaper per indexed asset than any partial workflow.
Most B2B teams have solved content production with AI but skipped the measurement layer entirely. This framework shows exactly which five KPIs to instrument first, and what each untracked stage costs across a content asset's 3.5-year lifespan.
Most B2B content teams treat publishing cadence as a bandwidth problem. Run the numbers across a 24-month runway and it becomes a capital allocation problem with a specific tipping point where refreshing beats publishing new.
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.
Google's March 2026 core update split content into two populations: pieces that get cited by AI systems and pieces that get buried. This post builds a two-axis scoring framework and a hard economic threshold that shows a two-person B2B team, working with $3,000 per month, precisely where new article spend stops making sense.
Google's March 2026 core update split content programs into two tiers based on quality, not volume. This post models the exact stage-by-stage automation order that maximizes indexed-asset yield for two-person teams spending under $3,000 per month.
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.
Google's March 2026 core update raised the cost floor on every B2B article you publish. This post breaks down the exact per-cadence budget math, indexed-asset yield calculations, and a realistic publishing plan for two-person teams working with the new quality requirements.
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.
