Content IntelligenceMarketing & SEO

AI-Classified Topic Relevancy Audit for Leading Nonprofit

Built an AI classification workflow to assess topical alignment across a leading nonprofit's content library at scale. Scored every page against core mission topics to identify content reinforcing topical authority vs. content diluting it — driving a measurable organic performance lift while cutting manual review effort in half.

10-15%

lift from refocusing Organic Performance

50%

reduction Manual Review Effort

Site-wide

classification Content Library

Project Details

Nonprofits often carry content libraries assembled over years with no systematic topical strategy — every program, campaign, and advocacy initiative leaving its own trail of pages. The result is a site that's 'about everything' in Google's eyes and authoritative on nothing specifically. We built an AI classification model that scored every page against the nonprofit's core mission topics, producing a clear map of which content reinforced topical authority vs. which content was diluting it. The resulting consolidation and re-focus plan guided the content team through a systematic refocusing of the library. 10–15% organic performance lift from the refocused authority signal, 50% cut in manual review effort, and an AI classification system the team now runs quarterly as the library evolves. The framework transferred across several later nonprofit engagements.

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