What is Podscan
Podscan.fm is a podcast intelligence platform that lets brands, marketers, agencies, and developers know what is being said about them across every podcast within minutes. It continuously scans a database of over 51 million episodes from more than 4 million podcasts, delivering real-time keyword alerts, full-text transcript search, and detailed audience demographic data. Users can track brand mentions, monitor competitors, discover sponsorship and guest-appearance opportunities, and access verified contact information for podcast hosts.
Beyond monitoring, Podscan provides a comprehensive REST API and a real-time Firehose API, enabling developers to build custom applications on top of its podcast data infrastructure. The platform also features an MCP Server for connecting AI assistants like Claude directly to its podcast database, historical ‘reports’ for scanning backward through months of podcast content, and a proprietary Podscan Reach Score (PRS) — a 0–100 metric evaluating a podcast’s reach, influence, and engagement. Add-on modules cover listener engagement metrics (completion rates, retention curves) and bulk data exports.
Podscan was founded and built in public by bootstrapper Arvid Kahl, backed by the Calm Company Fund. Reviewers highlight its strength in proactive reputation management and competitive intelligence, while noting that its tiered pricing may be a consideration for smaller teams or individuals with limited monitoring needs.
Key Features
- Real-time brand mention alerts (notified within minutes of episode release)
- Full-text transcript search across 51M+ podcast episodes
- AI-powered context filtering and sentiment analysis for alerts
- Audience demographics and verified listener engagement data
- REST API and real-time Firehose API for programmatic access
- Podscan Reach Score (PRS) — a 0–100 podcast influence metric
- Historical reports to scan backward through months of podcast content
Why we like it
- Alerts fire within minutes of episode release — reviewers cite this speed as its core strength for reputation management
- Full-text search across 51M+ transcribed episodes, not just titles or descriptions, catching mentions competitors' tools miss
- Developer-grade API with Firehose streaming and MCP Server support makes it uniquely extensible for building custom podcast intelligence products
Pros & Cons
Pros
- Full-text transcript search across millions of episodes provides genuine value for brand monitoring and competitor analysis (Toksta review)
- Real-time alerts catch brand mentions within minutes of an episode airing, enabling fast reputation management (Toksta review)
- Guest and sponsor identification features are particularly useful for agencies doing outreach (Toksta review)
- Developer-friendly API with generous rate limits and a unique Firehose streaming capability for building custom tools (official site / Graphlit)
Cons
- Tiered pricing may feel steep for individuals or smaller businesses with limited monitoring needs (Toksta review)
- Relying solely on podcast mentions for broader market research feels limited compared to multi-channel tools (Toksta review)
Who is using Podscan
Ideal for brand managers, marketing agencies, PR professionals, and developers who need real-time podcast monitoring, competitive intelligence, and programmatic access to a large-scale podcast transcript database.
- Brand managers and PR professionals tracking reputation and mentions across podcasts
- Marketing agencies monitoring competitors and identifying sponsorship or guest opportunities
- Developers and data scientists building custom podcast intelligence applications via the API
- Journalists and media researchers discovering expert sources and trending topics in podcast content
- Podcast creators benchmarking their show's reach and audience engagement against competitors
Podscan Pricing
Subscription
10-day free trial, no credit card required. Subscription plans include: Light (starting at $99/mo per blog reference), Premium ($200/mo), Professional ($500/mo), Advanced ($2,500/mo). Add-ons: Listener Data from $100/mo; Data Export from $250/mo. A pay-per-use 72-hour full Premium access pass is also available. Annual plans and a 50% first-year discount for bootstrapped/recently founded companies are offered.
Pricing details may change. Check the official website for the latest information.
What makes Podscan unique
Unlike enterprise media monitoring platforms (Meltwater, Cision, Brandwatch) that treat podcast coverage as an add-on and often only search metadata, Podscan transcribes every episode and enables full-text search across 51M+ episodes with AI-powered context and sentiment filtering. Compared to podcast database tools like Rephonic or Podchaser Pro that focus on historical show data, Podscan processes new episodes within minutes of release and offers a real-time Firehose API — a streaming capability not commonly found in competing tools. It also exposes a proprietary Podscan Reach Score and an MCP Server for direct AI-assistant integration, positioning it as a developer-first intelligence layer rather than just a dashboard.
Podscan Alternatives
Podchaser Pro, Rephonic, Listen Notes, Podtrac, Meltwater
Reviews & Ratings
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