Topic: Podcasting

Maya and Tom introduce the season finale of How To Get Discovered, titled "What Happens If You Do Nothing?" They present a thought experiment involving two identical podcasts, Show A and Show B, where only Show A invests in structured transcripts, dedicated web pages, and referrer analysis. The experiment aims to track the divergent paths of these shows over a one-year period.

During the first month of the experiment, both Show A and Show B exhibit identical download numbers despite Show A's technical setup. While Show A has established its infrastructure with rewritten titles and uploaded transcripts, search engines have not yet indexed the content. The hosts acknowledge that laying foundations often results in a "flat line" of growth initially, citing a previous example involving a single visitor from Perplexity.ai.

By month three, Show A begins appearing in search results for highly specific, long-tail queries that the host did not intentionally target. These visits often originate from AI assistants like ChatGPT and Perplexity.ai, indicating that the podcast's archive is answering precise user questions. In contrast, Show B continues to experience the typical "big first week" followed by silence for every new episode.

At the six-month mark, Show A sees a steady trickle of new listeners through its older episodes, while Show B relies solely on word of mouth. By the end of one year, Show A's archive has become a functional asset that contributes a significant share of total listening. Show B's archive remains stagnant, serving only as a "shelf" rather than a discovery engine for new subscribers.

The hosts analyze the "silent cost" of doing nothing, noting that Show B's audience did not shrink, but the host missed out on invisible growth opportunities. Because the loss is not a sudden drop in downloads, it often goes unnoticed by creators. Show A is distinguished by having spent the year building a searchable asset that continues to attract strangers without additional effort.

One host admits to a past mistake of prioritizing searchability over content quality. By titling every episode as a literal question and lead-loading descriptions with keywords, the show lost its unique voice and became "thinner." This confession highlights the balance required between making a show findable and ensuring it remains worth finding once discovered.

The discussion shifts to the false dichotomy between listener loyalty and new audience acquisition. While loyalty is essential, every regular listener was once a stranger. The hosts conclude that structured content serves both groups, particularly when a loyal listener shares a specific timestamped moment or clip in a group chat, which functions as word of mouth independent of search engines.

The core argument of the season is summarized: most podcasters undervalue their existing work by treating the back catalogue as a mere historical record. The hosts argue that if the advice and conversations remain relevant, they should be made visible to people typing questions into search boxes. This approach is framed as "respecting the work" rather than cynical trend-chasing or gaming algorithms.

Maya and Tom conclude the first season of How To Get Discovered by encouraging listeners to view their back catalogues as active assets. They reflect on their journey from the first episode to their current understanding of podcast plumbing and DNS. The hosts announce a break before a potential second season and invite listener feedback on topics they may have missed or gotten wrong.

Maya and Tom introduce the ninth episode of "How To Get Discovered," focusing on the long-term compounding effects of a podcast back catalogue. Tom challenges Maya to present a realistic, non-sensationalized look at the first month of growth for an "ordinary" podcast. They establish a fictional case study involving a weekly gardening show about growing vegetables to illustrate how search and discovery actually function for typical creators.

The hosts preview the upcoming season finale of "How To Get Discovered," which will compare two identical shows over a 12-month period to see the impact of SEO work. They also commit to sharing personal mistakes made during the season. The episode concludes with a sign-off and an invitation for listeners to return for the final installment.

Hosts Maya and Tom introduce episode 8 of How To Get Discovered, titled Under the Hood, focusing on the technical aspects of how search engines process podcast transcript pages. They establish a "plain English" rule to avoid unexplained jargon throughout the discussion. The segment contrasts two identical-looking web pages to explain why one might be invisible to Google while the other is easily discoverable.

The discussion defines metadata as information about a page, such as its title and description, which acts as a label for search engines. Structured data is introduced as a standardized form that tells search engines specific details like episode duration, show name, and speaker identities. While Google clarifies that this labeling is not a guaranteed ranking boost, it makes pages more legible for both traditional search crawlers and modern AI assistants.

Maya challenges Tom to demonstrate the realistic, often "dull" first month of SEO results for an ordinary podcast rather than focusing on outlier success stories. They agree to a case study for the following week that will examine compounding growth and why some episodes provide long-term value while others fade quickly. The episode concludes with a preview of the "compounding" topic and a final jargon count.

Maya and Tom introduce the seventh episode of How To Get Discovered, titled "The Question Behind the Query." The hosts transition from previous discussions on easy wins and show notes to a more philosophical examination of search intent. They outline the episode's focus on what users actually mean when using search boxes and how podcasters can become cited authorities.

Listeners are categorized into three distinct types based on their search intent: those seeking a specific "moment" or quick answer, those looking for a long-term "relationship" with a show, and those seeking a trusted "authority" on a subject. A specific example is cited regarding a tax-related episode that continues to find new listeners years later because it functions as a definitive resource for a specific question.

The technical "plumbing" of a podcast—including transcripts, chapters, and dedicated episode pages—is reframed as a way for a show to adapt its "shape" to the listener's needs. Rather than just being a chronological feed, these tools allow a podcast to serve as a quick answer, a browsable show, or a trusted authority page simultaneously.

The hosts conclude the episode by previewing next week's technical deep dive into what search engines see when crawling a podcast page. Maya plans to explain metadata, structured transcripts, and domains while adhering to a "no jargon" rule enforced by Tom. The episode ends with a reminder to check listener feedback folders and a sign-off.

Maya and Tom introduce the sixth episode of How To Get Discovered, focusing on optimizing podcast show notes for better listener conversion. Tom confesses to years of writing "dreadful" one-sentence notes that served only as receipts rather than pitches to potential listeners. They argue that because show notes are the second thing a stranger sees after the title, they must function as a persuasive pitch to convince users to press play.

A specific three-part framework for show notes is proposed to replace generic descriptions. The structure includes a "hook" paragraph framed for strangers, a "substance" section detailing three or four specific topics covered, and a "takeaways" section highlighting the guest's expertise. This approach prioritizes search-friendly phrases and concrete value over internal references, aiming to turn the show notes into a "better shop window" for the audio content.