@PodcastSeriesMedia & Entertainment4 min readUpdated 2026-10-03

Podcast Series & Show Schema Markup (JSON-LD Blueprint)

Structured data for audio podcast shows, web feeds, Apple/Spotify syndicated series, host attribution, and episode catalogs for Google Podcasts and Search indexing.

Target Queries:podcast series schemapodcast show json ldpodcast rss structured datagoogle podcast schema
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Production JSON-LD Code Block

Embed this structured data block directly into your HTML <head> or framework layout template.

Podcast Series Blueprint Payload
Test in Validator →
application/ld+json (PodcastSeries)
Test in Validator
{
  "@context": "https://schema.org",
  "@type": "PodcastSeries",
  "name": "The Algorithmic Edge: AI & Search Systems",
  "description": "Weekly conversations with distributed systems engineers, search researchers, and technical SEO architects building modern indexing infrastructure.",
  "url": "https://omniseotools.com/podcasts/algorithmic-edge",
  "webFeed": "https://feeds.omniseotools.com/algorithmic-edge.xml",
  "inLanguage": "en-US",
  "numberOfEpisodes": 84,
  "author": {
    "@type": "Person",
    "name": "Zackary Stone",
    "jobTitle": "Lead Search Systems Architect"
  },
  "publisher": {
    "@type": "Organization",
    "name": "OmniSEOTools Audio Network",
    "url": "https://omniseotools.com"
  }
}
100% Schema.org & Google Rich Results Compliant (2026)Ready for <script type="application/ld+json">

Typed Properties Specification (8 Fields)

Key Schema.org properties and sub-objects required to qualify for rich snippet treatment in Google Search.

PropertyExpected TypeStatusDescription & Example
namestringRequired

Official title of the podcast show or series.

e.g. The Algorithmic Edge: AI & Search Systems
webFeedstring (URL)Required

Direct URL to the public RSS 2.0 / Atom XML feed of the podcast.

e.g. https://feeds.omniseotools.com/algorithmic-edge.xml
descriptionstringRequired

Official synopsis of the show's focus and target audience.

e.g. Weekly conversations with distributed systems engineers and search researchers.
authorPerson | OrganizationRequired

Primary creator, host, or publishing entity of the show.

e.g. { '@type': 'Person', 'name': 'Zackary Stone' }
numberOfEpisodesnumberRecommended

Total count of published episodes available in the feed.

e.g. 84
inLanguagestringRequired

Primary spoken language of the audio show.

e.g. en-US
publisherOrganizationRequired

Media network or brand producing the podcast series.

e.g. { '@type': 'Organization', 'name': 'OmniSEOTools Audio Network' }
urlstring (URL)Required

Canonical homepage URL for the podcast series.

e.g. https://omniseotools.com/podcasts/algorithmic-edge

Google Search Console Pitfalls & Critical Warnings

Avoid these 3 common validation traps, parser errors, and algorithmic policy penalties when deploying PodcastSeries schema.

criticalPitfall #1

Invalid RSS WebFeed URL or Blocked XML Feed

Providing a broken or firewall-protected RSS URL in the webFeed property.

GSC Impact:
Immediate rejection from Google Podcasts and assistant voice search discovery.
Actionable Fix:

Ensure webFeed resolves to a valid, publicly accessible RSS 2.0 endpoint with Enclosure tags.

warningPitfall #2

Missing Primary Author or Host Entity

Omitting the author node or using an uncredited company placeholder.

GSC Impact:
Weak entity association with podcast hosts in Google Knowledge Panel graphs.
Actionable Fix:

Specify host names using structured Person objects with verifiable links.

warningPitfall #3

Mismatch in Declared Language Codes

Declaring inLanguage as 'en' while RSS feed xml:lang specifies 'en-GB'.

GSC Impact:
Regional audio indexing inconsistencies in international search results.
Actionable Fix:

Synchronize the BCP 47 code between HTML JSON-LD and the RSS channel metadata.

Recommended Implementation Scenarios

Technology and business interview podcast networks
Serialized true-crime and documentary narrative shows
Educational language learning and lecture series
Daily news brief audio channels

Related Schema Blueprints

Explore complementary structured data blueprints across the Media & Entertainment cluster.

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