AI in Podcasting: A Guide for Brand Marketers

We all know that podcasting has surged in popularity and emerged as a popular way to consume media, information, and new in recent years. For listeners, it’s an easy, low cost and convenient way to consume content while on the move – and caters to people with busy lives who may not have time to read or tune into Netflix.

Given the recent advances in artificial intelligence (AI), it would only make sense that it will have an impact on the podcasting world too. AI can support the branded podcast journey  by making shows more personalized, interactive, and engaging for audiences. 
This blog explores how this technology is changing the way podcasters create content, tune into what is resonating with their listeners, and what AI’s potential implications are for the future of podcasting.

Let’s get into it!

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How AI is changing the podcast landscape 

1. Podcast personalization

AI’s ability to personalize content will be one of its biggest advantages. Imagine a world in which each piece of content you engage with feels personalized and catered just for you. 

AI can detect the type of content that each listener prefers and thus make it easier for podcasters to tailor their content accordingly. Already there are AI-powered podcast creation platforms that are being used by big brands to create more engaging audio experiences, such as Audioburst. 

Two quick examples of what Spotify is currently working on that brings to life the ability for AI to add to the personalization of podcasts:

• Spotify is currently building AI versions of its hosts for ad reads according to the Bill Simmons Podcast. There is going to be a way to use hosts’ voices for ads which will make podcasters’ lives easier while maintaining a sense of personalization. Note: host consent will be required. 
  

• As we all know, Spotify requires a signed-in account to listen, and therefore has personal data available for each of its listeners and collects a vast amount of data on its audience. Technically, that means in the future, a host may be able to address you by name in a personalized ad (perhaps even selling you a new roofing service that is tailored to your neighborhood or street name). 

This is just the start when it comes to AI’s ability for personalization.  Expect to see only more advancements and tools rolled out in the near future. 

2. Content creation

Probably one of the most popular use cases for AI in podcasting, assisting your team in content creation.. 

A few ways we’re already seeing tools like Chat GPT, Copy.ai or Jasper being leveraged is by generating: 

• Shownotes 
• Episode summaries 
• Episode titles 
• Episode structures 
• Social media assets 
• Blog posts 

And even audio creation itself through platforms like Podcastle. 

Bonus Use: AI can also aid in curating thematic playlists, creating compilations of episodes based on specific topics or genres, enabling listeners to explore podcasts with similar themes easily.

3. Voice recognition 

Did you know that AI-powered voice recognition technology can be used to detect accents, dialects, emotions, change in tone and even parts of conversation that may be important for a podcast episode? Imagine how this will impact the editing process. 

AI can also be used to detect when certain words are being said, allowing podcasters to quickly and easily search through their recordings in order to find and edit specific sections. This will make a world of difference when it comes to efficiency and how quickly creators can turn around episodes. 

Once podcasters are able to accurately transcribe their episodes, they can generate SEO-friendly content that's more likely to show up in search engine results. This will allow shows to rank higher and in turn, attract more audiences and scale. 

4. Dialogue identification 

AI technology can be used for automatic speech recognition and as a tool to detect conversations between multiple people. AI-powered dialogue recognition technology can analyze big amounts of audio data, enabling it to recognize conversations and detect the reactions and emotions behind them. 

This technology can then be used to generate personalized recommendations for podcast episodes based on a listener's preferences and interests. All of this will work together to ensure audiences are being delivered exactly the kind of content that most resonates with them. Explore company’s like Audioburst to see what they’re up to when it comes to AI and personalization. 

5. Interactive podcasting

People want to be heard and made to feel special. That’s why personalized and interactive podcasting is the future. 

It’s already becoming more popular as it allows listeners to engage in conversations and exchanges with AI-powered chatbots. 

AI can be used to recognize dialogue and respond accordingly, thus creating an interactive experience for the listener. AI-powered podcast platforms such as Lumen AI are already being used by hosts and podcasters to increase engagement and add new elements of interactivity to their shows. 

6. AI-powered transcripts 

Natural Language Processing (NLP) is a fascinating branch of AI that enables computers to understand, analyze and generate human language.

Applied in podcasting specifically, NLP and speech-to-text technology is used for transcribing audio into a text format automatically, creating subtitles or captions for viewers with hearing impairments as well as analyzing the sentiment within the content discussed on any given show.

There are lots of platforms that leverage AI for transcription purposes such as CoHost, Rev, and Otter.ai. 

7. Audio editing

AI algorithms can be used to automatically edit audio files, for example, by removing background noise or adjusting the volume levels of different speakers. This is useful in the podcasting industry for any creators looking to save time and improve the overall sound quality of a podcast episode. 

In other words, used correctly, AI in podcasting can also make editing faster, easier, and more turn-key. Auphonic is a popular podcast editing software powered by AI, if you’re not already working with a podcast agency, platforms like Auphonic can help streamline your editing process.  

8. Language translation and localization 

AI-driven language translation can bridge the gap between different languages, making podcasts accessible to a global audience. 

AI can facilitate real-time translation during live podcasts or provide translated transcripts for non-native speakers. This in turn will help podcasts make the world feel smaller and more connected. 

9. Dynamic ad insertion

AI algorithms can analyze podcast content and listener demographics to dynamically insert relevant advertisements based on individual preferences. 

This targeted approach improves the effectiveness of ad campaigns and provides a more personalized listening experience for users. AudioGO and AdvertiseCast are two audio brands paving the way when it comes to dynamic ad insertion. 

H3: Top podcast tools leveraging AI 

CoHost:

A leading AI in-app transcription tool for effortless editing and distribution. Its in-built transcription capabilities mean that your podcast gets a natural boost when it comes to discoverability and accessibility.

Podcastle:

Known for its studio-quality recording, AI-powered editing and seamless exporting - all in a single web-based platform.

Castmagic:

‍Uses AI to turn longform podcast audio into evergreen content, saving time and effort for podcasters and content creators. 

Swell AI:

Seen as the best AI writer for content creators and podcasters on the market.

Adobe Podcast:

Known for its AI powered audio recording and editing features, which includes converting audio to text, eliminating background noise and more.

Descript:

Popular for its AI audio and video editor capabilities that allows users to easily edit their media files. 

Auphonic:

Recognized as an audio post production service that uses AI and signal processing to automatically improve the quality of recorded audio

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Are you interested in incorporating AI into your podcast?

AI-powered solutions such as audio editing, AI-generated transcriptions, and interactive podcasting will take some of the burdens off of podcasters and marketers, making their job easier and giving them more time to focus on creating content. Essentially AI will help reduce the menial tasks associated with podcast production. 

In addition, AI’s ability to create personalized experiences will change the future of podcasting. AI-powered solutions can help podcasters tailor their content to individual listeners based on their interests and listening habits. AI algorithms can also be used to target advertisements, helping podcasters monetize their content in new ways. 

So, if you want to take your show to the next level, you should start considering how AI can play a role in your podcasts. And if you want to learn more, make sure to get in touch with our team at CoHost.