Provides transparent, data-driven measurement and verification of podcast advertising campaigns through automated transcription and analysis, enabling advertisers to track ad performance, verify placements, and gain competitive intelligence across the podcast ecosystem.
Last updated Feb 8, 2026
Leading podcast ad verification and measurement platform
Podscribe is a podcast advertising measurement and attribution platform that specializes in providing brands and advertisers with data-driven insights into podcast advertising performance. The company uses advanced speech recognition and natural language processing technology to transcribe and analyze podcast content, enabling accurate tracking of ad placements, brand mentions, and competitive intelligence across the podcast ecosystem. Podscribe has positioned itself as a critical infrastructure provider in the rapidly growing podcast advertising market, offering verification and measurement solutions that bring transparency and accountability to podcast ad spending. The platform serves advertisers, agencies, podcast networks, and brands by providing comprehensive monitoring of podcast ad campaigns, competitive analysis, and attribution capabilities. Podscribe's technology addresses a fundamental challenge in podcast advertising: the lack of standardized measurement and verification tools that exist in other digital advertising channels. By automating the transcription and analysis of podcast content at scale, Podscribe enables advertisers to verify that their ads ran as purchased, measure share of voice, track competitor activity, and gain insights into podcast advertising trends across the industry.
Automated verification that podcast ads ran as purchased, including timing, placement, and creative execution
Monitoring and analysis of competitor podcast advertising activity and spending patterns
Content analysis to ensure ads appear in brand-safe podcast environments
Tools to measure podcast ad campaign performance and attribution across channels
AI-powered transcription of podcast episodes at scale for analysis and searchability