Standardize CTV context with IAB Content Taxonomy 3.1.
The IAB Content Taxonomy gives publishers and ad-tech platforms a common vocabulary for describing media. In CTV, it turns inconsistent labels into categories that systems can exchange and evaluate.
What the taxonomy solves
Publishers often describe similar programs with different internal genres, keywords, and editorial conventions. That inconsistency creates friction when inventory moves through SSPs, exchanges, DSPs, and emerging agentic advertising workflows.
IAB Content Taxonomy 3.1 provides standardized category identifiers and a shared hierarchy. For CTV and OTT content, the related CTV genre guidance narrows the broader taxonomy to labels commonly used for television programming.
How AI-assisted classification works
A multimodal pipeline can analyze visual evidence from across a program, generate semantic representations, and propose taxonomy categories with confidence. Human review remains useful when categories are ambiguous or commercially sensitive.
SignalFrame keeps the category, taxonomy version, confidence, and supporting evidence together. That makes classification easier to review and less opaque than a title-level guess.
Carry the taxonomy into programmatic systems
Taxonomy labels become actionable when they travel with inventory. SignalFrame exports IAB-aligned categories in JSON and OpenRTB content objects so publishers and SSPs can connect classification to curation, contextual packaging, and agent-readable media workflows.