Understand Content Performance at Scale – with AI-Powered Analysis

Use AI to structure, classify, and optimize your editorial strategy

Scoby Analytics offers a privacy-first, AI-powered content analysis system designed to help editorial and product teams structure and evaluate content performance at scale. Going far beyond URL-level reporting, our model classifies content by category, topic, entity, and semantic tags – all automatically, and without relying on personal data.

This enables you to identify what resonates with your audience, track thematic performance over time, and shape your editorial strategy with clarity and consistency.

Scoby Analytics – AI-Based Content Analysis


Content intelligence – built for structure, not surveillance

  • Category-level insights
    Easily track how different types of content perform – whether it’s news, business, sports, culture, or opinion. Scoby helps you understand how each editorial genre contributes to engagement and reach.

  • Topic and entity detection
    Our system identifies key topics and referenced entities such as public figures, brands, locations, or events. This helps you evaluate not just which formats perform, but which narratives and subjects drive interest.

  • Smart content tagging
    Enhance SEO, discoverability, and internal linking with automatically generated tags that reflect the true nature of your content – enabling better structuring and cross-referencing.


Better structure. Smarter decisions. Stronger content.

Scoby’s AI-based content analysis equips you to make strategic, data-informed decisions – while staying fully compliant with modern privacy standards. You get structural clarity without relying on behavioral profiling or cookies.

Get in touch to learn how Scoby Analytics can support your editorial planning and content strategy with actionable, privacy-friendly insights.