Transistor.fm SEO Audit

What DeepSEOAnalysis checks for Transistor.fm

Frequently asked questions

Can Transistor.fm podcast pages rank in Google Search?

Yes — Transistor.fm generates a public podcast website for each show, with individual episode pages that Google crawls and indexes. Each episode page is a distinct URL with its own title, show notes content, and metadata, which means episodes can independently rank for topic-specific queries if the episode title and show notes are written with search intent in mind. Transistor\'s show website uses server-rendered HTML, which means Googlebot can read the page content without JavaScript execution — a significant advantage over podcast players that render show notes in client-side JavaScript. For ranking in Google Search, the most important factors are the episode title (maps to the page\'s H1 and title tag), show notes length and keyword relevance, and the number of inbound links the episode page accumulates. Transistor also generates a podcast RSS feed that Apple Podcasts, Spotify, and Google Podcasts consume — but Google Search rankings come from the public podcast website, not the RSS feed. To maximise search visibility, write episode titles that match search queries your target audience uses ("how to do X" rather than "Episode 42: a conversation with Y"), write show notes as long-form content rather than a one-paragraph summary, and link internally between episode pages on related topics. DeepSEOAnalysis audits your Transistor show website to identify whether episode pages are technically sound and whether structured data is present to help Google understand the content type.

What structured data should my Transistor podcast use?

Transistor.fm episode pages should implement three primary Schema.org types to give Google full structured signals about podcast content. PodcastEpisode schema is the most specific type — it describes the episode name, description, duration, episode number, season number, audio URL, and the parent PodcastSeries. AudioObject schema describes the audio file itself, including contentUrl (the direct MP3 or audio file URL), encodingFormat (audio/mpeg), and duration in ISO 8601 format. BreadcrumbList schema should appear on episode pages to establish the navigation hierarchy from your show website homepage down to the individual episode, which aids sitelinks and reduces orphan-page signals. On your show homepage, PodcastSeries schema should be present with the show name, description, author, image, and RSS feed URL — this is the parent entity that PodcastEpisode items reference via the partOfSeries property. Optionally, if your episodes feature guests or co-hosts, Person schema on each episode page with the guest\'s name and optionally their website URL adds entity richness that can help Google connect your episodes to known entities. Common structured data mistakes on Transistor podcast websites include missing duration values (required for AudioObject), incorrect date formatting in datePublished fields, and PodcastEpisode items that omit the partOfSeries property linking back to the PodcastSeries. DeepSEOAnalysis validates all structured data on your Transistor episode pages against the Schema.org specification and Google\'s requirements, flagging missing required properties and incorrect value formats.

How does a custom domain on Transistor affect podcast SEO?

Configuring a custom domain on Transistor.fm is one of the highest-impact SEO decisions a business podcast can make. Without a custom domain, your Transistor show website sits on a subdomain like yourshow.transistor.fm — all the domain authority, backlinks, and ranking history that your podcast accumulates over time belongs to transistor.fm\'s domain, not yours. With a custom domain (podcast.yourbrand.com or yourshow.com), every link to your episode pages, every piece of domain authority your show earns from inbound links, and every search ranking your episodes achieve builds equity under your own domain. For B2B and business podcasts, a custom domain at a subdomain of your main brand domain (podcast.yourbrand.com) means your podcast\'s organic search presence is directly adjacent to your main website, making it easier for Google to associate the podcast content with your brand entity. Transistor handles the custom domain configuration at the hosting level — you point a CNAME record to Transistor\'s infrastructure and Transistor serves your show website on your domain with HTTPS. The critical SEO concern after custom domain setup is canonical configuration: ensure Transistor is not serving the same content on both the default transistor.fm subdomain and your custom domain simultaneously. If both URLs are live without a canonical pointing to the custom domain, you risk duplicate content diluting ranking signals. DeepSEOAnalysis checks for canonical tag correctness on Transistor custom domain configurations and flags any duplicate-URL situations that could split link equity between your branded domain and transistor.fm.

How long should Transistor show notes be for SEO?

For podcast episodes that target organic search ranking on Transistor\'s show website, show notes should be treated as long-form SEO content rather than a brief episode description. A minimum of 800 words is a reasonable floor for episodes targeting competitive informational queries; 1,500–2,500 words is typical for episodes that perform well in search for topic-specific terms. The content of show notes should parallel what a well-structured blog post on the same topic would contain: an opening paragraph that introduces the core topic and why it matters, subheadings (H2, H3) that map to the episode\'s main discussion sections, key takeaways from the conversation, any resources, tools, or links mentioned in the episode, and a conclusion or call to action. Show notes written purely as a table of contents ("In this episode we discuss: topic A, topic B, topic C") provide almost no ranking potential because they are thin on actual content Google can match to queries. Show notes that expand each topic with a paragraph of substance — effectively a written summary of what the guest said — give Google the depth of content needed to rank the episode page for longer-tail informational queries. Transistor renders show notes as HTML from the text entered in the platform, supporting Markdown-style formatting that creates proper heading hierarchy if used correctly. For business podcasts with a B2B audience, show notes that reference specific company names, tools, processes, and frameworks mentioned in the episode give Google entity signals that help the page rank for niche professional queries. DeepSEOAnalysis analyses content length and heading structure on Transistor episode pages to identify episodes with thin show notes that represent missed ranking opportunities.

Does Transistor support transcripts for podcast SEO?

Transistor.fm supports episode transcripts natively — you can add a transcript to each episode and Transistor will display it on the episode page, significantly expanding the indexable text content available to Google. A full episode transcript can add 5,000–15,000 words of content to an episode page, turning what might have been a thin show-notes page into a rich, long-form content asset that can rank for dozens of long-tail queries drawn from the natural language spoken during the episode. Transcripts are particularly valuable for interview-format podcasts where expert guests speak in detail about technical topics — the natural language in a transcript often matches conversational and long-tail search queries that would be difficult to target through written content alone. From an SEO implementation standpoint, transcripts on Transistor episode pages should be rendered as visible HTML text (not hidden behind a toggle that reveals content via JavaScript without server-side rendering), so that Googlebot indexes the full transcript text rather than only seeing the show notes. Transistor\'s transcript display renders the content as visible page text, which satisfies this requirement. A practical SEO workflow for Transistor podcasters: use an AI transcription service (Descript, Otter.ai, or Transistor\'s own auto-transcription feature) to generate a raw transcript, clean it for accuracy, and add it to the episode in Transistor. Pair the transcript with curated show notes that distil the key insights, so the page has both structured, readable content and the comprehensive depth of a full transcript. DeepSEOAnalysis checks whether Transistor episode pages are rendering transcript content as indexable text and whether the combined word count of show notes plus transcript positions the page competitively for its topic.

How do I set up multiple podcasts on Transistor for the same brand?

Transistor.fm\'s pricing model allows unlimited podcasts per account, making it a practical choice for brands running multiple shows — a flagship interview show, a shorter news or industry update feed, and an internal training or onboarding podcast, for example. From an SEO perspective, multiple shows on the same Transistor account require deliberate planning around domain architecture to avoid splitting brand authority. The recommended approach for a brand running multiple podcasts is to host each show on a distinct subdomain of the main brand domain — show1.yourbrand.com and show2.yourbrand.com — rather than on completely separate domains (show1podcast.com, show2podcast.com). This keeps all organic search equity accumulating under the yourbrand.com root domain authority rather than fragmented across multiple standalone domains that each start with no existing authority. Internal linking between podcast show websites matters at scale: a brand running three shows should cross-link related episodes across shows, and the main brand website should link to each podcast show website from a dedicated podcast or resources section. Each show requires its own PodcastSeries structured data, with a distinct name, description, and RSS feed URL. If shows share topics or audiences, cross-show linking in show notes and episode descriptions reinforces topical relationships for Google. Common multi-show mistakes on Transistor: using the same generic show description across multiple shows (duplicate meta description content), inconsistent brand name formatting across show titles, and neglecting to link from the main brand website to each show. DeepSEOAnalysis can audit each Transistor show website independently, allowing brands to compare structured data completeness, CWV performance, and canonical configuration across all their shows.