Tools / Podscan

Monitor millions of podcasts for brand and competitor mentions. Search full transcripts, set alerts, and analyze sentiment with API access.
Podscan is a podcast intelligence and monitoring platform that indexes millions of podcasts along with their full transcripts. Instead of relying on show titles or episode descriptions, it makes the spoken content of episodes searchable, so you can find mentions of a brand, company, competitor, or topic across the podcast landscape.
The platform works through watchlists: you add the brands, companies, keywords, or markets you care about, and Podscan scans new episodes as they publish. According to the site, alerts arrive within minutes of an episode being processed. Alongside mention tracking, it applies entity extraction and sentiment analysis to transcripts, and provides audience and demographic metrics, charts, and exports for reporting.
Beyond monitoring, Podscan positions itself as a research tool. It generates landscape and research reports, some of which the site says are available without a subscription. Developers and teams building AI tools can pull data through webhooks and API access, which makes the transcript database usable in custom applications and agents.
Best for
The site says alerts are sent within minutes of an episode being processed, so mentions surface shortly after new episodes publish.
Yes. Podscan offers a 10-day free trial, and the site states that no credit card is required to start.
The site does not publish standard paid plan prices. It mentions a 10-day free trial and notes that some reports are available without a subscription, so you would need to sign up or contact them for current pricing.
Yes. Podscan provides exports, webhooks, and API access, so transcript data and alerts can feed into your own systems or applications.
Full-text search runs across the transcripts of indexed podcasts. You can track mentions of brands, companies, competitors, topics, and markets, with entity extraction and sentiment analysis applied to the results.
The site points to marketing professionals, research and data teams, newsrooms and journalists, hedge fund and investment research teams, SEO and content teams, and developers building AI-agent or coding tools.
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