Long-form audio, made readable
The page your episode has to live on
A forty-minute conversation is the richest text your firm produces and the least readable form it could take. Turned into a structured page on your own domain, it becomes a few thousand words of specific, on-topic prose that a machine can quote. Left as an audio file on a host platform, it is invisible.
Every plan queries all 6. See how each engine picks who it names
What we measured
as many B2B buyers name AI as a top information source as did before (Forrester, 2026). None of them are listening to your episode when they ask.
Engines queried
ChatGPT, Claude, Perplexity, Gemini, Google AI Mode, Microsoft Copilot. Every plan, including the free one.
Answers kept
Every answer is stored word for word, so any number on your report can be checked against the text it came from.
The gap this closes
- Episodes are published into a hosting platform and left there.
- The episode page is a player, a paragraph, and a link out.
- A raw transcript is barely better: forty minutes of verbatim prose with no structure.
- Nothing on the page tells a machine what the episode answers.
What you end up with
- A page that states what the episode answers, broken into questions.
- The important question and answer pairs marked up, so nothing is inferred.
- A structured episode page instead of a player and a paragraph.
- Note: there is no podcast generator in the Content Engine, and this page does not pretend otherwise.
How it works
Three steps, and you only do the first one.
The episode targets a question you lose
Episode subjects come from the same ranked list as everything else: buying questions where an engine named a competitor. A conversation planned around one of those produces the answers you want retrievable, in an order that maps to show notes afterwards.
The transcript becomes a page, not an archive
The draft turns the conversation into a summary, chaptered sections keyed to the sub-questions discussed, pull quotes that survive being lifted, and an FAQ block whose markup matches the visible text. The full transcript sits underneath it for depth.
The page lives on your domain and the scan referees it
Publish it on your own site with the player embedded, not the other way around. The next scan re-asks the question the episode answered on all six engines, and the crawl reports whether the markup on the new page is live.
What you get on each plan
Read this part carefully, because it is where most vendors would overclaim. The Content Engine has no podcast generator and this page will not invent one. What it produces is the text layer around an episode, and that is the part that decides whether the episode is retrievable.
Track
Free- No drafting, but the planning input
- Buying questions where a competitor was named, ranked
- The verbatim answers alongside
- An episode list for a year, ordered by what matters to a buyer
- The crawl reports whether your episode pages carry any structure
Fix
$99/mo- The transcript page drafted as a structured article
- A summary stating the question and the answer
- Chapter headings phrased the way buyers ask
- Pull quotes that stand alone, FAQ block marked up
- Lives on your domain, not inside a player
- One episode carries into four places from one brief
Dominate
$499/mo- Covers more episodes
- Adds video scripts that double as episode outlines
- Newsletter digest gives subscribers the argument in writing
- No audio production service, and better said before you buy
Rule
$1999/mo- Portfolio level, podcast in one brand, text in several
- A person decides which conversations are worth having
- And which brands carry the written output
The proof, including the parts that flatter nobody
We have no first-party measurement of podcast outcomes and we will not manufacture one. Nothing in the product instruments an audio platform, and we cannot tell you which passage a system read.
The evidence we do have describes the starting line. Across the 46 completed reports behind this page, the best any engine managed was naming the brand in 7.4% of the buying questions we put to it, and the others sat between 0.4% and 4.0%, on firms that arrived already suspecting they were missing.
The test we can run is the same one as everywhere else, and it is the reason the page is written against a named question. That question gets re-asked on all six engines every scan, and the crawl reports whether the markup on the new page is live and readable.
Read the MSP AI Visibility Report 2026 →A worked example: the show-notes page
This is the structure of a page built from a single episode about after-hours coverage. The brand and the guest are illustrative. Every element is one a draft carries.
Page skeleton
- H1: Can an outsourced provider really cover a plant at 2am? Episode 14 with a plant manager who tried it.
- Summary, four sentences: the question, the answer, who is arguing it, and the one thing that surprised us.
- Chapters as H2 headings with timestamps: Who picks up at 2am / What a response window means without a consequence / The escalation number nobody asks for / What went wrong in month two.
- Three pull quotes, each complete without context, attributed to the speaker.
- FAQ block of five pairs, marked up and visible, drawn from the questions the conversation answered.
- The cleaned transcript, under a heading, with speaker labels.
- The player embedded, and links to Apple and Spotify, below the text rather than above it.
One pull quote, as it appears
"The number that told us the truth was how many after-hours incidents they closed last quarter without waking one of our people. They had it. It was 41 out of 44. Nobody had ever asked them for it before."
That quote works because it survives extraction. It carries a specific number, a named situation and a claim somebody could dispute, and a system quoting it does not need the surrounding forty minutes to make sense of it.
Everything above is a writing task performed once per episode. It is also the difference between a podcast that builds an audience and a podcast that builds an audience and a retrievable body of expert text.
How it actually works
The mechanism, for anyone who wants it. Open a card to read the detail.
Audio is invisible until it is text
Retrieval systems read documents. An audio file is not a document, and the description under it is forty words of context, so an unpublished transcript means the episode contributes nothing to any answer about you. That is the entire mechanism and it is worth stating without decoration.
Read the detail
The upside is proportionate. Podcast conversations run long and go into detail that written content skips, because a guest asked a follow-up and somebody answered honestly. Those passages, the ones covering an edge case or a scenario nobody writes a blog post about, are exactly what a system needs when the buyer's question has a qualifier in it.
So the value is unusually high per hour of effort, provided the last step happens. An episode you record and do not publish as text is work you did for the listeners you already had.
Where the transcript should live
On your own domain, as a readable page. Host platforms are built for players and subscriptions, many of them render their content through scripts a crawler never runs, and none of them give you the markup or the internal links. Embedding the player inside your own page gets you the listener experience and the retrievable text in the same place.
Read the detail
The page needs five things and they are all cheap. A summary that states the question and the answer near the top. Chapter headings phrased the way a buyer would ask, since those do the work headings do on any page. Two or three pull quotes that make sense with nothing around them. An FAQ block covering the questions the conversation answered, marked up and rendered identically. And the full transcript underneath, cleaned of crosstalk.
Skip the markup and the page still helps a reader. Skip the structure and the page helps nobody, because a wall of transcribed speech is the least extractable text on the internet.
Guest appearances beat your own feed
If you have a choice between recording an episode and appearing on somebody else's, take the appearance. A host publishes show notes and a transcript on their domain, with your name, your firm and your argument in it, which is third-party corroboration rather than another claim on your own site.
Read the detail
Corroboration is the signal these systems lean on hardest. A guest spot is one of the few ways to add an independent platform without asking anyone for a favour they will not grant.
The preparation is the same work. Take the question you lose, decide the three checkable specifics you want in the transcript, and say them plainly enough that they survive being quoted. Whether that lands on your feed or somebody else's, the retrievable text is the point.
What it costs
Prices and monthly draft volumes below read from the live plan configuration, so this page cannot drift from what your account gets.
| Plan | Price | Questions | Scans |
|---|---|---|---|
| Track | Free | 5 | 1/mo |
| Fix | $99/mo | 10 | 4/mo |
| Dominate | $499/mo | 25 | 4/mo |
Rule is portfolio level and sales-assisted, and it fits a group where one brand carries the show and several carry the written output.
See where you stand first
Run a free scan and find out which of these gaps you actually have.
Get your free auditFrequently asked questions
Do you produce the podcast?
No, and the page says so above rather than in the small print. There is no podcast generator in the Content Engine. What we draft is the text layer: the structured show-notes page, the chapters, the pull quotes and the FAQ markup that make the episode retrievable.
Do I need an existing podcast?
No. The episode subjects come from the buying questions you lose, so the list works whether you are launching a show or already running one. Guest appearances on other shows count for more than your own feed in most cases.
Why does the transcript have to be on my domain?
Because host platforms are built for players, often render through scripts a crawler never runs, and give you no markup or internal links. Embedding the player in your own page gets both the listener and the readable text.
Does audio quality matter for this?
Only through transcription accuracy. The retrievable asset is the text, so a clear on-topic conversation beats a studio recording that circles its point.
Which engines benefit?
The ones that read indexed web text, which is most of them. A structured page on your own domain is readable to every engine we query; a player on a host platform is readable to none of them.
Can one episode feed other formats?
That is the efficient version. The same brief produces the LinkedIn edition, the community answer and the thread, and on the higher tier a video script whose beats double as the episode outline.
Sources and further reading
- Forrester B2B Buying Study 2026: 94% of B2B buyers use AI in the buying process; 2x now cite AI as a top information source.
- Lewis et al. 2020, Retrieval-Augmented Generation (arXiv:2005.11401): The foundational paper describing how models retrieve from an external, non-parametric memory to generate factual, sourced answers.
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