Podcast / Episode Schema Generator

Podcast schema uses Schema.org's PodcastSeries and PodcastEpisode types to describe audio shows and their individual episodes in a format search engines can read. PodcastSeries covers the show itself (name, description, host, category, cover art, RSS feed URL), while PodcastEpisode describes each installment (title, description, guests, duration, publish date, audio file URL).

Before podcast schema existed, search engines treated podcast content like any other web page, reading visible text and ignoring the audio entirely. Schema bridges that gap by providing structured metadata that acts as a rich text proxy for content that is inherently non-textual. It does not transcribe the audio but describes it in terms search engines can index and match against queries.

Audio is a discovery problem. Listeners find podcasts through recommendations, app browsing, social media, and word of mouth, but search remains underutilized. Schema changes that by making episodes individually searchable.

• Episode-level discoverability. Each episode becomes a distinct entity that Google can match against specific queries, rather than relying solely on the text visible on the page.
• Google's podcast search features. Google displays podcast-specific results for relevant queries, including playable episode carousels that pull from structured data and RSS feeds.
• Guest and host connections. Marking up guests as Person entities creates discoverable connections. Someone searching for a guest by name can find their appearance on your show.
• Cross-platform consistency. Schema on your website provides a canonical, first-party metadata source that search engines can reference alongside your podcast directory listings.

The generator produces both PodcastSeries and PodcastEpisode schema blocks with the properties Google recognizes.

PodcastSeries: name, description, image (cover art), author (host as a Person entity), url (canonical podcast page), webFeed (RSS URL), genre, publisher, and inLanguage.

PodcastEpisode: name (episode title), description, datePublished, timeRequired (duration in ISO 8601), associatedMedia (AudioObject with the audio file URL and encoding format), partOfSeries (linking back to the show), episodeNumber, actor/contributor (guests as Person entities), keywords, and transcript URL.

Every episode automatically includes a partOfSeries reference connecting it to the parent show, which prevents Google from treating episodes as unrelated standalone pages.

Transcripts transform podcast SEO from metadata-dependent to content-rich. A podcast episode without a transcript is searchable only by its title, description, and metadata, typically 100 to 300 words. A transcript adds thousands of words capturing every topic, term, and question discussed.

• Long-tail keyword coverage. Conversations naturally cover topics that descriptions do not anticipate. The transcript captures those tangents and makes the episode discoverable for queries nobody thought to include in the show notes.
• Accessibility. Transcripts make audio content accessible to deaf and hard-of-hearing audiences, people in sound-sensitive environments, and non-native speakers.
• Content repurposing. Transcripts are raw material for blog posts, social media quotes, and newsletters, each linking back to the episode page.

Automated transcription services like Otter.ai, Descript, Rev, and Whisper-based tools produce draft transcripts that, even unedited, provide significantly more indexable text than no transcript at all.

Podcasts have a dual metadata system: the RSS feed that distributes episodes to podcast apps and the website schema that makes episodes discoverable through search engines. They serve different platforms but describe the same content.

• RSS is the distribution backbone. Apple Podcasts, Spotify, and every podcast directory consume your RSS feed to populate their listings.
• Schema is the search backbone. Website schema makes your episodes discoverable through web search, reaching people who may not be podcast listeners but are searching for information that happens to exist in audio format.
• Consistency matters. Episode titles, descriptions, dates, and audio URLs should match across both sources. Discrepancies create confusion for Google, which cross-references them.
• Schema adds what RSS cannot. Structured guest information, topic keywords, transcript links, and entity connections like Person entities with sameAs links are richer data structures than plain-text RSS show notes.

Yes, if you want each episode to be individually discoverable through search. Each episode page should have a unique URL, its own PodcastEpisode schema block, a full description or show notes, an embedded player, and ideally a transcript.

Some podcast websites list all episodes on a single page with short titles and play buttons. This gives Google one URL for hundreds of episodes, minimal text content, and no way to rank individual episodes for their specific topics. A dedicated page per episode with proper schema is what makes each episode independently searchable.

If your podcast has hundreds of episodes, most podcast website platforms generate individual episode pages automatically from RSS feed data, and the schema can be generated dynamically from the same source.

• Omitting partOfSeries. An episode without a link to its parent series is an orphan that Google cannot group with your other episodes.
• Vague episode titles. "Episode 23" tells Google nothing. Descriptive titles with the topic and guest name are far more searchable.
• Thin episode descriptions. A one-sentence description wastes the primary text field search engines use for matching. Aim for at least 200 words covering topics, guests, and key takeaways.
• Missing the audio file URL. The associatedMedia property with the actual audio URL is what makes the episode playable in search results.
• Guests as plain text only. Including a guest name in the description but not as a structured Person entity in the actor property misses the entity connection that enables guest-name searches.
• Not including a transcript when one exists. If you have a transcript, linking it in the schema is free SEO value.