Make CTV inventory machine-readable with OpenRTB metadata.
OpenRTB content objects provide a structured way to describe the programming around an ad opportunity. Complete fields help automated systems and AI agents understand the inventory they are evaluating.
The CTV content object
A CTV content object can carry identifiers and descriptive fields such as title, series, season, language, duration, livestream status, producer, categories, genres, and keywords. Taxonomy identifiers clarify which standard governs the category values.
When those fields are empty or inconsistent, programmatic systems have less context for inventory evaluation, contextual matching, curation, and reporting.
Connect analysis to the bidstream
SignalFrame analyzes the video, proposes standardized classifications, and assembles the result as a reviewable metadata record. Publishers and SSPs can export the complete analysis or an OpenRTB-ready representation for downstream integration.
The goal is not to replace the publisher’s source of truth. It is to fill signal gaps with evidence-backed context and normalize the output for machines.
Why structured metadata matters for AI agents
Agentic advertising systems work best with explicit fields, consistent identifiers, and machine-readable evidence. Structured CTV metadata lets an agent compare inventory against a brief, reason about context, and pass a decision into existing programmatic infrastructure with less ambiguity.