LeadsBridge
The bridge between your advertising platforms and your CRM for real-time lead delivery and audience sync.
The industry standard for podcast ad verification, attribution, and brand safety through AI-driven audio intelligence.
Podscribe is the leading infrastructure layer for the podcast advertising ecosystem, providing an independent, third-party audit of audio content. In the 2026 market, it stands as the primary arbitrator between publishers and advertisers, utilizing advanced NLP and acoustic fingerprinting to verify that ad reads occurred as scheduled and within brand-safe contexts. Its technical architecture centers on a proprietary AI engine that performs automated transcription and ad-spot detection across millions of podcast episodes. Beyond simple verification, Podscribe provides multi-touch attribution, mapping listener exposure to web conversions through cross-device graph technology. By automating the 'Aircheck' process—which historically required manual human monitoring—Podscribe has significantly reduced operational overhead for agencies. Its 2026 positioning emphasizes 'Live Read Intelligence,' where it doesn't just verify the existence of an ad, but analyzes the sentiment, tone, and script compliance of the host's delivery. This data-driven approach allows brands to optimize creative performance based on actual audio characteristics rather than just download metrics.
Uses speech-to-text and pattern recognition to automatically clip and timestamp ad reads for client proof-of-performance.
The bridge between your advertising platforms and your CRM for real-time lead delivery and audience sync.
Real-time human attention prediction powered by neuroscience-based AI.
Full-funnel advertising solutions powered by retail-intent data and generative AI.
Generate conversion-focused ad creatives and social media posts in seconds using high-performance AI.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
NLP-based classification of content into GARM (Global Alliance for Responsible Media) safety categories.
Uses IP-based and probabilistic modeling to link podcast listens to web/app conversions.
Analyzes the effectiveness of different ad scripts and lengths across multiple shows.
Scans the podcast landscape to report where competitors are spending and what their creative sounds like.
Instant notification via webhook or email if a scheduled ad fails to air or has technical issues.
Compares actual host delivery against a mandatory script or bullet points using semantic analysis.
Uncertainty if expensive host-reads are actually happening as per the contract.
Registry Updated:2/7/2026
The manual labor required to listen to hundreds of episodes for proof-of-performance.
A brand wants to avoid being associated with controversial political or adult topics.