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Most B2B content teams measure AI ROI against draft costs. This post builds a concrete multi-touch attribution model that connects published articles to assisted pipeline at months 6, 12, and 18, and shows why the real question is whether your measurement infrastructure can capture the compounding returns at all.

Most B2B teams measure AI content ROI by what they saved on writing. The real budget drain is the operational layer after the draft: keyword validation, internal linking, metadata, and quality scoring. This post breaks down where per-article costs actually go and introduces a lifecycle efficiency score to benchmark your workflow against a fully automated baseline.