Every B2B marketing team with 1–5 people has the same quiet problem: they know they should be publishing more, and they know roughly why it matters, but nobody has actually done the math on what the gap is costing them. "We should blog more" stays a vague intention because it's never been priced. Here's the math.
What "enough" content actually requires
A B2B company with a long consideration cycle — the kind where buyers research for months before a sales conversation — needs content covering every stage of that research: comparison pages, process explainers, capacity/cost breakdowns like this one, and the specific how-to content that captures commercial-intent search traffic. Realistically, that's 2+ pieces a week, every week, indefinitely — not a quarterly sprint.
Most 1–5 person marketing teams are publishing at a fraction of that. Not because the ideas aren't there — because nobody on the team has 15–20 hours a week to spend on research, drafting, editing, SEO metadata, and publishing mechanics, on top of everything else marketing already owns.
What it costs to close that gap by hiring
Fully loaded, a content marketing manager runs roughly $77,858/year, a dedicated content writer roughly $58,836/year, and an SEO specialist roughly $67,388/year — before benefits, which run 29.9% of total compensation in private industry. Stack a manager, writer, and SEO specialist and you're at roughly $1,570–1,890 per post, fully loaded, once benefits and the realistic output of a small team are factored in — not counting the 60–90 day recruiting timeline or the single-person-risk of building a whole content function around one hire.
That's the honest cost of closing the capacity gap the traditional way.
What it costs to close it with a content engine
An AI-assisted content pipeline with a human editorial gate on every piece runs at a fundamentally different cost structure — roughly $500 per post on a Standard Engine, $812 per post on a Regulated Engine (compliance screening, named-approver workflow, audit trail included). That's a 64% and 48% reduction respectively against the in-house fully-loaded number, without cutting the human review step that keeps AI-assisted content trustworthy.
The reason the economics work: AI drafting costs pennies — $1–4 per post, falling toward $0.25–1 as drafting moves to batch processing — while human editorial judgment, the part that actually matters for quality and brand voice, stays exactly where it should: reviewing, not generating from scratch.
The framing that actually matters
This isn't "AI vs. hiring a person." It's augmentation: an existing marketer plus a properly built content engine produces roughly a three-person team's output, for meaningfully less than hiring that three-person team — while every piece still passes a human gate before it goes live.
If your team is publishing at a fraction of what your buyers' research phase actually requires, the gap has a dollar figure. Now you know roughly what it is.