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Brief
Podscribe

Podscribe

Podcast Advertising Measurement and Attributionpodscribe.ai

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 Jun 23, 2026

Founded
2020
HQ
New York, New York, United States
Connections
8

At a glance

Employees
11-50
Funding
$22M
Revenue
<$1M
8competitors

About

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.

Business model

SaaS

Target market

Enterprise and Mid-Market

What they offer

  • Ad Verification

    Automated verification that podcast ads ran as purchased, including timing, placement, and creative execution

  • Competitive Intelligence

    Monitoring and analysis of competitor podcast advertising activity and spending patterns

  • Brand Safety

    Content analysis to ensure ads appear in brand-safe podcast environments

  • Attribution & Measurement

    Tools to measure podcast ad campaign performance and attribution across channels

  • Podcast Transcription

    AI-powered transcription of podcast episodes at scale for analysis and searchability

Key features

Automated podcast transcription using AI and speech recognitionReal-time ad verification and monitoringCompetitive intelligence and market analysisBrand safety and content categorizationShare of voice trackingCampaign performance analyticsMulti-language supportHistorical podcast data archive

Use cases

Verifying podcast ad campaign delivery and placementMonitoring competitor podcast advertising strategiesMeasuring podcast advertising ROI and attributionEnsuring brand safety in podcast contentPlanning podcast media buys with competitive intelligenceTracking share of voice in podcast advertisingAnalyzing podcast content trends and topics

Customer segments

Advertisers and brandsAdvertising agenciesPodcast networks and publishersMedia buyers and plannersMarket research firms

Tech & specs

Technology stack

Artificial IntelligenceNatural Language ProcessingSpeech RecognitionMachine LearningCloud ComputingData Analytics

Deployment

Cloud

API

Yes

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