LLM referral traffic converts at up to 4.4x the rate of traditional organic, yet most small content teams still plan budgets around volume and clicks. This post shows exactly how a two-person team can remodel content economics around cost-per-conversion-event, with specific changes to topic selection, quality gates, publishing cadence, and tool spend.
96.5% of published pages get zero search traffic. This post builds a concrete scoring model that tells small B2B teams whether their current content stack is fast enough to outpace competitors, with real cost benchmarks for teams under $2,000/month.
96% of B2B marketers use AI, yet fewer than 10% of CMOs have captured value end-to-end. The missing piece isn't a better tool or faster publishing cadence -- it's a Content Decision Rights Framework that clarifies who owns each go/no-go checkpoint in your publishing lifecycle.
Adobe's July 2025 survey found 77% of people now use ChatGPT as a search engine, yet 76% of AI Overview citations still point to top-10 Google results. This post breaks down a practical budget allocation model for small B2B teams deciding how to divide content spend across both surfaces, based on domain authority, publishing cadence, and organic baseline.
Publishing more content rarely fixes stagnant organic growth. This scorecard diagnoses the five workflow connections that determine whether your B2B content compounds or flatlines, and produces a single number showing exactly which broken link is costing you returns.
Most content programs get cut right before they become profitable. This post builds a concrete payback curve model showing the exact month your content spend stops being a cost center, based on your publishing cadence, per-article budget, and domain authority.
Most B2B content teams debate how much to publish, not what frequency actually triggers compounding growth. This post builds the framework for calculating your domain's minimum viable cadence and what it costs to sustain it with AI-assisted workflows.
