Today, we are happy to announce a feature that will be music to the ears of all podcasters and those generating audio content.
Introducing: CustomGPT From Podcasts
In this blog post, we’ll explore why creating a ChatGPT chatbot indexed with your podcast episodes and feeds is not just a novel idea, but a strategic move that can offer numerous advantages.
With CustomGPT, you can now bring the power of podcasts and other audio content to your very own ChatGPT chatbot.
And at CustomGPT, we have always been passionate about pushing the boundaries of AI and making information more accessible. We’re excited to announce an industry-first feature that combines the advanced conversational capabilities of OpenAI’s ChatGPT with the power of podcasts.
Why Build A ChatGPT Chatbot With Podcast Content?
Overall, building a chatbot with your podcast content allows you to leverage the unique characteristics of podcasts, such as rich content, conversational nature, and expert insights with a dynamic and versatile way to access information.
Let’s dive in and discover how this potent combination of AI and audio content can revolutionize the way your business communicates and operates.
Instantly Find Relevant Podcast Moments
Podcasts are an excellent source of rich and engaging content. They often feature in-depth discussions, expert insights, and entertaining narratives that can captivate and educate listeners. By uploading podcasts, you can enrich your chatbot with more comprehensive and specific information to your queries, enhancing the overall user experience. Many podcasts feature interviews with experts in various fields. By incorporating podcasts into the chatbot, you can access valuable insights and perspectives from industry leaders and subject matter experts.

In addition, chatbots excel at processing and understanding natural language. Podcasts typically involve conversational dialogue, making them an ideal source for training chatbots to engage in more natural and human-like conversations with the user.
Empower Listener Interaction with An Embedded ChatGPT Chatbot
Imagine if you could ask questions directly to your favorite podcast, and it could answer back immediately! By putting a chatbot on your website, it’s like giving your podcast a voice to chat with your listeners. It’s as if your podcast becomes a friend that they can talk to any time.

With the ChatGPT LLM chatbot, users can ask questions and receive responses directly from the words mentioned in the audio. This interaction could provide a more dynamic and engaging way to consume audio content, allowing users to quickly get the information they need without needing to listen to or search through the audio manually.
Global Reach
Podcasts are accessible to a global audience. By integrating podcasts into the chatbot, you can reach a broader content base for a more worldly chatbot. Overall, using podcasts in the chatbot offers a dynamic and versatile way for users to access information, fostering an engaging and inclusive learning experience.

The chatbot’s ability to answer queries in 92 different languages further enhances inclusivity and allows users from various linguistic backgrounds to benefit from the content.
Seamless Updates with Current and Timely Information
By uploading a podcast feed, you can ensure that your chatbot remains up-to-date with the latest content. As new episodes are released or uploaded, the chatbot automatically indexes them, making them available for queries, and keeping the chatbot’s knowledge of the latest trends, news, and developments in various industries fresh and relevant.

How To Build A ChatGPT Chatbot From Podcasts : Step-By-Step Guide
Building a ChatGPT chatbot integrated with your podcast audio content can allow you to leverage the unique characteristics of podcasts, such as rich content, conversational nature, and expert insights with a dynamic and versatile way to access information. Here’s a step-by-step guide on how you can achieve this:
Step 1: Build a Collection of Podcast Episodes and Feeds
The first step in this process is to curate a collection of the podcast episodes you want your chatbot to ingest. This could include multiple episodes individually or entire podcast feeds if you want to upload an entire show’s feed.
For example, for the purpose of this demo, I curated a mix of podcast episodes mixed and matched from different shows and a few podcast feeds.
Episodes: In order to index a list of single episodes, you must have the link to the audio file for the episode in audio format (ending in either ‘.mp3’, ‘.mp4’, ‘.mpeg’, ‘.mpga’, ‘.m4a’, ‘.wav’, and ‘.webm’.) – for example:
https://chrt.fm/track/DE611C/traffic.megaphone.fm/GLT9092447485.mp3
https://downloads.wamu.org/mp3/dc/ethiopian_retrack6pm.mp3
Feeds: In order to upload entire feeds, you must have the RSS feed URL for the podcast show. For example:
https://rss.wbur.org/wbur
https://anchor.fm/s/5ae22c3c/podcast/rss
Step 2: Create a Sitemap
Once you have your collection of episodes and feeds, the next step is to create a sitemap. A sitemap is essentially a list of the URLs for each episode or feed that you want to be included in the chatbot’s knowledge base.
Whether you have episodes, feeds, or a collection of both, you can do this easily using the free sitemap-generating tools below. Just copy-paste your collection of URLs into the tool and it will give you a sitemap.
For episodes: Free sitemap generator for podcast episodes

Simply copy and paste your URLs in audio format (‘.mp3’, ‘.mp4’, ‘.mpeg’, ‘.mpga’, ‘.m4a’, ‘.wav’, and ‘.webm’) and generate a sitemap which can be used in CustomGPT.
For podcast feeds: Free sitemap generator for podcast feeds

With this free tool simply copy and paste the RSS feed URL from your podcast show into the tool and get a sitemap that you can put into CustomGPT.
Step 3: Build Your CustomGPT Chatbot with the Sitemap
The final step to making your very own chatbot equipped with all your favorite podcasts is putting it all together in CustomGPT using your sitemap(s). This is how CustomGPT knows what audio content to ingest and transcribe.
To do this, simply paste the URL of your generated sitemap into the sitemap tab in CustomGPT. There, you’ll find an option to input your sitemap. Follow the instructions provided to complete the integration and build your ChatGPT LLM chatbot with your podcast episodes and feeds.

Advanced Tip: CustomGPT now has multi-source data integration. So if you already have a CustomGPT chatbot, you can now add your new podcast audio content to that chatbot.
Once the sitemap is successfully processed, CustomGPT will begin the process of ingesting and transcribing the audio content from the URLs provided. This process is usually completed in a couple of minutes.
Once the indexing process is complete, your CustomGPT chatbot is now ready to provide insightful, accurate responses based on the content from your podcast episodes and feeds!
Remember, the power and effectiveness of your ChatGPT chatbot are directly influenced by the quality of your podcast content. Happy building!
Live Demo
Since we are from Boston and I am huge fan of WBUR, we built a chatbot from the WBUR podcast feed using their RSS feed: https://rss.wbur.org/wbur — the entire process took less than 2 minutes.
Video Tutorials
From Podcast Episodes:
From Podcast Feeds:
What Can You Do With A Custom ChatGPT Chatbot With Your Podcast Content?
Training your chatbot using podcasts can be an extremely rewarding feature due to the conversational, insightful, and unique characteristics of most podcasting content. With a chatbot trained using opinionated conversations, rich content, and expert insights, users can experience a more dynamic and versatile way to access information.
Stay Updated
Another great thing about podcasts is how often they are released, providing listeners with the freshest, and latest information on trends, news, and developments in various industries. By uploading a podcast feed, your chatbot will self-refresh on the latest information as new episodes are released.
Access Multilingual Support
The chatbot’s ability to answer queries in 92 different languages ensures that users can engage with the content in their preferred language. It opens up opportunities for non-English speakers to access podcast information effectively.
Personalize Your Learning
You can customize your learning experience by choosing specific episodes from different shows or uploading your favorite show’s entire feed. This flexibility allows you to focus on content that aligns with your interests and learning goals.
Increase Productivity with Efficient Searches
The enhanced searchability feature of the chatbot enables users to locate information across a broad range of podcast content effortlessly. It saves time and effort by providing precise details without the need to manually listen to or search through episodes.
Frequently Asked Questions
Can ChatGPT listen to podcasts and answer questions from specific episodes?
Tumble Living reported hundreds of tickets deflected, 24/7 coverage, and 10+ minutes of engagement per user, showing how source-grounded chat can handle detailed questions at scale. Yes. Once you index your podcast episodes, transcripts, or feed URLs, a retrieval-based chatbot can pull the relevant passage and answer questions about specific episodes instead of making listeners search through the audio manually.
How do I turn a whole podcast RSS feed into a chatbot without coding or uploading every episode by hand?
You can usually start without coding by importing your podcast feed URL, episode URLs, or audio files into a no-code builder. CustomGPT.ai supports URL and audio ingestion, so you do not have to upload every episode one by one if your feed exposes the archive. If you later need a custom workflow, Joe Aldeguer of the Society of American Florists said, “CustomGPT.ai knowledge source API is specific enough that nothing off-the-shelf comes close. So I built it myself. Kudos to the CustomGPT.ai team for building a platform with the API depth to make this integration possible.”
How accurate is a podcast chatbot when the transcript is messy or the episode is long?
Accuracy depends mostly on source quality. A retrieval-based podcast chatbot is strongest when answers are grounded in the transcript, show notes, or related documents, and citation support helps you verify the source. If a transcript is noisy, add a cleaned transcript or supplement it with episode summaries and linked documents before relying on it for precise answers. Brendan McSheffrey of The Kendall Project said, “We love CustomGPT.ai. It’s a fantastic Chat GPT tool kit that has allowed us to create a ‘lab’ for testing AI models. The results? High accuracy and efficiency leave people asking, ‘How did you do it?’ We’ve tested over 30 models with hundreds of iterations using CustomGPT.ai.”
Can a podcast chatbot answer listener questions in other languages?
Yes. Multi-language support covers 93+ languages, so you can answer listener questions in many languages from the same indexed podcast library. The strongest results come when the bot is grounded in your transcript, show notes, or other source material rather than trying to answer from model memory.
Can I build a podcast chatbot for a niche show, like tax, law, or regulatory analysis?
Yes. Niche podcasts are often a strong fit because retrieval works well when the source material is specialized. Michael Juul Rugaard of The Tokenizer said, “Based on our huge database, which we have built up over the past three years, and in close cooperation with CustomGPT, we have launched this amazing regulatory service, which both law firms and a wide range of industry professionals in our space will benefit greatly from.” For tax, legal, or regulatory podcasts, you will usually get better answers by indexing both the episode transcript and the underlying documents it cites, since audio, websites, and documents can all be ingested together.
What is the difference between a podcast chatbot and an AI podcast generator?
A podcast chatbot answers questions from your existing episodes and transcripts. An AI podcast generator creates new podcast-style content. If your goal is episode search, source-backed answers, and citations from your archive, use a retrieval-based chatbot. If your goal is producing new audio, use a generator. For retrieval-heavy use cases, CustomGPT.ai outperformed OpenAI in a RAG accuracy benchmark.
Can I use private podcast recordings or internal audio safely in a chatbot?
Yes. You can build a chatbot from private audio files, transcripts, or URLs rather than relying only on public web content. Relevant safeguards include SOC 2 Type 2 certification, GDPR compliance, API-key authentication, and a stated policy that data is not used for model training. That makes private podcast archives, paid subscriber audio, and internal recordings much more practical to use.