Podscan

Podscan monitors over 5 million podcasts and 74 million episodes for brand, competitor, and market mentions, delivering alerts in about 10 minutes. It pairs a no-code monitoring dashboard with a REST API and MCP tools for AI agents, plus add-ons for listener engagement and bulk exports.

Podscan is a podcast intelligence platform that monitors more than 5 million podcasts and 74 million episodes for mentions of brands, competitors, people, and market themes. New episodes are transcribed and processed with AI, and alerts are typically delivered within 10 minutes of release. The core use case is brand monitoring: teams define watchlists, get notified when a name is spoken, and see the surrounding transcript passage, the sentiment, and the show's reach score so they can judge the importance of each hit. In practice, the product works in two modes. Non-technical marketing and PR teams use the web dashboard to build alert lists, search transcripts, and review a feed of recent mentions that labels each hit as positive, neutral, or negative and tags it by type (crisis alert, competitor mention, sponsor read, and so on). Developers and data teams use the REST API, which exposes 80+ endpoints, plus an MCP server with 100+ tools that lets AI agents such as Claude and ChatGPT query episodes, guests, sponsors, and sentiment. Bulk daily episode exports and weekly podcast catalog exports in JSON are available as an add-on for data pipelines. Additional modules cover partnership discovery (estimated demographics, audience matching, sponsor and guest filters), listener engagement data from real player sessions (completion rates, ad performance by placement, geographic breakdown, available for select shows), and AI-generated intelligence features like summaries and historical reports. The platform is aimed at brand and PR teams, marketing agencies, investment and research analysts, and developers building podcast-aware applications. It occupies a niche between social listening tools, which rarely index long-form audio, and raw podcast databases, which provide data but no monitoring layer. Enterprise pages suggest larger contracts are supported.