Know what's being said about your brand across every podcast.

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April 7, 2026

Podscan

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Know what's being said about your brand across every podcast.

API Podcast Intelligence Brand Monitoring Listener Engagement Data Real-time Monitoring Actionable InsightsFree + from $100/mo

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Overview Discussion

Overview

Podscan.fm is a comprehensive Podcast Intelligence Platform providing real-time monitoring of podcasts to support different business needs. It allows organizations to track what is being said about their brand across numerous podcasts globally, with AI-powered alerts for new mentions, and in-depth search capabilities ranging across full transcripts.

The tool is equipped with charts to discover top podcasts and trending shows globally, providing industry statistics with actionable business ideas based upon podcast data.

It is also tailored towards offering specific solutions for brands, agencies, marketers, media, news organizations, SEO experts, financial intelligence, and podcasters.

Podscan.fm has robust features including brand monitoring, data integration, listener engagement data, and podcast ranking. It enables an API platform for developers and the MCP Server AI Agents.

Moreover, the platform offers actionable insights by analyzing listener engagement patterns, completion rates, ad engagements and provides a geographic breakdown of listeners.

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January 22, 2024

Initial release of Podscan.

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PoddyHost.com

AI-driven podcasts: effortlessly enhance your brand.

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Bo Bennett

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Dec 31, 2024

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This is not the case. You can create both a blog and a podcast with the free account. We have a support link, please use that and I would be happy to walk you through this if the videos did not help.

144 Reply Share Edit Delete Report

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Love it!!! It still need work, I wish I can add 3 or 4 more voices in my podcast. I trying to make callers call in. That would help.

31 Reply Share Edit Delete Report

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Podpilot

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Dec 31, 2024

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Way too expensive You have to pay $19 just to get a sample of the podcast. Basic: $199/month for 1 podcast per month, up to 15 minutes per episode, with PodPilot audio watermark. Standard: $499/month for 2 podcasts per month, up to 20 minutes per episode, without audio watermark. Professional: $1,999/month for 4 podcasts per month, up to 30 minutes per episode, also without audio watermark.

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ListenHub

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Wondercraft

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Free verson only allows you to have 500 characters! WIsh it was longer to be able to test it.

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Released 2y ago
From $99

2,745
33
2.0

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Pros and Cons

Pros

Real-time podcast monitoring

In-depth transcript search

Global podcast coverage

Top podcasts and shows charts

Brand monitoring feature

Data integration capability

Listener engagement insights

Podcast ranking system

API platform for developers

Engagement pattern analytics

Podcast completion rates tracking

Ad engagement analysis

Geographic listener breakdown

Tailored solutions for various roles

Systematic Business Strategy insights

Comprehensive industry statistics

Trending shows identification

Geographic charting and ranking

Search across transcripts

Actionable insights from data

Real-time analytics and trends

Extracts business ideas from data

Identifies podcast opportunities

Multi-Role tailored solutions

Detail analytics and trends

Specific Podcast Intelligence Solutions

Unlimited alerts options

REST API platform

Automated brand monitoring

Pre-processed demographic and content data

Listeners engagement data analysis

Campaign ROI tracking

Audience intelligence and targeting

Verified listener engagement metrics

Complete API access

Data-driven insights for partnerships

Partnership Discovery based on data

Automatic transcript analysis

Audience matching for marketing

Firehose data stream

API with 80+ endpoints

Real-time sentiment analysis

Alert creation without technical skills

API for custom integrations

Bulk data exports available

Completion rates and retention curves

Ad performance by placement

Listener retention curves

Transcript fetch with API

Daily episode and weekly catalog exports

Search across millions of podcasts

Doesn't require credit card for trial

View 47 more pros

Cons

Expensive

Only alerts for new mentions

No multi-language support

Complex interface for beginners

Limited free searches

Limited plan for developers

Data exports for extra charge

Requires technical skills for API

No mobile app available

View 4 more cons

Q&A

What is Podscan.fm?

Podscan.fm is a Podcast Intelligence Platform that empowers organizations to monitor what is being said about their brands across numerous global podcasts, in real-time. It offers AI-powered alerts for new brand mentions and has comprehensive search capabilities across full podcast transcripts. The platform is also designed to suggest actionable business ideas based on podcast data, present industry statistics, and discern trending shows and top-ranking podcasts around the world. It provides diverse services for brands, marketing agencies, media, news organizations, SEO experts, financial intelligence groups, and podcast creators.

What makes Podscan.fm unique when compared to other podcast monitoring platforms?

Podscan.fm stands out because of its AI-powered alerts, real-time podcast monitoring, full-text transcript search, and diversity of solutions tailored for different business needs. It provides in-depth insight by analyzing listener engagement data such as completion rates and ad engagements. It also delivers a geographic breakdown of the listenership. The platform offers an API for developers and the MCP Server AI Agents. The comprehensiveness and depth of Podscan.fm's data integration, brand monitoring, and podcast ranking abilities notably differentiate it among podcast monitoring platforms.

How does Podscan.fm's AI-powered alerts work?

Podscan.fm's AI-powered alerts work by monitoring podcasts in real time for new brand mentions. Upon detection, the AI engine generates alerts to inform the respective organizations. This means businesses can track discussions around their brand and respond promptly to any mentions, whether positive or negative.

What sort of insights does Podscan.fm provide from analyzing listener engagement patterns?

Podscan.fm analyses listener engagement patterns to provide insights into metrics such as podcast completion rates, ad engagement and listener retention data. By uncovering these patterns, Podscan.fm allows organizations to better understand their audience, gauge the effectiveness of their podcast content and ad placements, and form data-driven strategies for future podcast initiatives.

How does Podscan.fm's brand monitoring feature work?

Podscan.fm's brand monitoring feature allows organizations to track what is being said about their brands in numerous podcasts globally in real-time. The AI-powered brand monitoring feature issues alerts for new mentions across all podcasts almost instantaneously. This real-time information enables organizations to monitor their brand reputation, competitor activities, and industry trends.

Can Podscan.fm provide a geographic breakdown of listeners?

Yes, Podscan.fm is capable of providing a geographic breakdown of podcast listeners. It analyzes data to determine the location of its listeners, allowing companies to understand where their audience is based geographically. This information is valuable for aligning marketing strategies and tailoring content to the audience.

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How does Podscan.fm rank podcasts?

Podscan.fm uses data integration to rank podcasts. It assesses key performance indicators such as listener engagement data, how many times certain podcasts are mentioned, and the trending nature of particular shows. It applies these factors in its proprietary algorithm to create a ranking of top podcasts.

What is the MCP Server AI Agents in Podscan.fm?

The MCP Server AI Agents in Podscan.fm are artificial intelligence entities that aid in managing tasks and interpreting data within the platform. They essentially work as backend assistants, processing and interpreting large amounts of data in real time.

What specific solutions does Podscan.fm provide for marketers?

Podscan.fm offers several specialized solutions for marketers. These include real-time monitoring of brand mentions across millions of podcast episodes, AI-powered alerts with a focus on market-relevant discussions, audience engagement analytics to track campaign performances, and comprehensive search capabilities across transcripts to find market and product mentions.

In what way Podscan.fm assists SEO experts?

Podscan.fm assists SEO experts by providing them with data insights culled from podcasts to power SEO strategy. The SEO benefits stem from the AI-powered transcription of millions of podcast episodes, thus enabling Podscan.fm to track mentions of selected keywords, trending topics and band mentions. With this information, SEO experts can optimize their content and keywords based on what's currently trending in the podcast space.

Can I integrate my systems directly with Podscan.fm?

Yes, you can integrate your systems directly with Podscan.fm. The platform offers a robust API integration that enables developers to connect directly to its podcast data. This data includes real-time podcast intelligence, full-text transcripts, and detailed audience demographics.

How can I use Podscan.fm to track mentions about my brand in podcasts?

You can track mentions of your brand in podcasts using Podscan.fm's real-time monitoring feature. The platform uses AI-powered alerts to notify you of new brand mentions as they occur across millions of podcast episodes, allowing you to respond in a timely manner.

What are the top podcasts and trending shows that Podscan.fm tracks?

Podscan.fm tracks top podcasts and trending shows across different countries and categories. The details of these podcasts and shows, along with their rankings, are displayed on dedicated chart sections on their website.

How can I use Podscan.fm to get actionable business ideas from podcasts?

Podscan.fm provides actionable business ideas extracted from thousands of podcasts through its Podscan Ideas feature. These ideas are built on Podscan's API, showcasing the potential of podcast data.

What API platform does Podscan.fm provide for developers?

Podscan.fm offers a comprehensive REST API platform for developers. It allows direct access to real-time podcast data, complete transcripts, and comprehensive audience demographics, enabling developers to build custom applications with real-time podcast intelligence.

Does Podscan.fm offer real-time monitoring of podcasts?

Yes, Podscan.fm offers real-time monitoring of podcasts. It tracks every podcast episode globally that mentions your brand, and you will receive alerts within minutes of such mentions, making for swift and timely response and engagement.

What search capabilities does Podscan.fm offer?

Podscan.fm offers comprehensive search capabilities across full transcripts of podcasts. This feature allows users to pinpoint exactly where their brand, competitors, or industry topics were mentioned within a podcast episode.

Is there a financial intelligence feature in Podscan.fm?

Podscan.fm assists financial intelligence by providing insights into the financial aspects of the podcast industry's statistics. It supports financial intelligence efforts by providing data on trending shows, industry statistics, and listener engagement that can all influence financial decision making.

What are the available pricing plans for Podscan.fm?

Podscan.fm offers three types of pricing plans according to the levels of needs - Premium at $100 per month, Professional at $200 per month, and Advanced at $2,500 per month. Each plan varies in terms of the number of AI-powered keyword alerts, historical reports, team members, API requests per day, the range of Firehose API, and level of support provided.

What is Podscan's API and how does it function?

Podscan's API is a comprehensive REST API platform that offers real-time access to millions of podcast conversations, complete transcripts, comprehensive metadata and audience demographics. Developers can leverage the API for building custom apps or integrate it into their existing systems to harness real-time podcast intelligence.

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